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2026 Spring

  • 2026-03-09   Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs [slides] 郭泽凯
  • 2026-03-09   Open-set Active Learning 领域研究进展 [slides] 宗辰辰
  • 2026-03-16   SemiReward: A General Reward Model for Semi-supervised Learning [slides] 葛泽庆
  • 2026-03-16   Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis [slides] 曾俊伟
  • 2026-03-23   A-MEM: Agentic Memory for LLM Agents [slides] 王宇
  • 2026-03-23   DATER: Decomposition for Table Reasoning with LLMs [slides] 柴轩轩
  • 2026-03-23   Where MLLMs Attend and What They Rely On: Explaining Autoregressive Token Generation [slides] 彭沛
  • 2026-03-30   FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs [slides] 高星宇
  • 2026-03-30   Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs [slides] 杨幸龙
  • 2026-03-30   DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization [slides] 张菲倩
  • 2026-04-13   Hallucination Begins Where Saliency Drops [slides] 郝航
  • 2026-04-13   LoRA: Low-Rank Adaptation of Large Language Models [slides] 蒋明忠
  • 2026-04-13   Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning [slides] 王子晨
  • 2026-04-13   Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models [slides] 王远见
  • 2026-04-20   Venus: Benchmarking and Empowering Multimodal Large Language Models for Aesthetic Guidance and Cropping [slides] 刘逸凡
  • 2026-04-20   视觉语言导航（VLN）的最新研究进展和代表性工作——DualVLN、OminiNav、JanusVLN、DecoVLN、AgentVLN [slides] 欣子豪
  • 2026-04-27   基于噪声客户端/样本选择的联邦噪声标记学习方法——FedDiv、FedFixer、FedClean [slides] 金彤
  • 2026-04-27   Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models [slides] 孙佳家
  • 2026-05-11   强化学习与生成式模型结合——Steering Your Diffusion Policy with Latent Space Reinforcement Learning、Flow Q-Learning [slides] 罗钦文
  • 2026-05-11   MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection [slides] 颜劭铭
  • 2026-05-18   Learning to Select Visual In-Context Demonstrations(LSD) [slides] 葛泽庆
  • 2026-05-18   Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition [slides] 赵翔鸽
  • 2026-05-25   具身智能体如何实时地自我纠错——World Models、Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection [slides] 赵东
  • 2026-05-25   Reflected Flows for On-support offline RL via noise Manipulation [slides] 柳溯睿

    • 2025 Fall

  • 2025-09-01   Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models [slides] 文胜涛
  • 2025-09-09   SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models [slides] 葛泽庆
  • 2025-09-09   Bridging RL and Other ML Paradigms [slides] 罗钦文
  • 2025-09-16   Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training [slides] 丁宾宾
  • 2025-09-16   CVIT: CONTINUOUS VISION TRANSFORMER FOR OPERATOR LEARNING [slides] 毛佳恒
  • 2025-09-23   AutoSurvey: Large Language Models Can Automatically Write Surveys [slides] 池昱琦
  • 2025-09-23   Qwen VL 系列分享 [slides] 赖彦涛
  • 2025-09-23   Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration [slides] 李其飞
  • 2025-10-14   Re-thinking Federated Active Learning based on Inter-class Diversity [slides] 宗辰辰
  • 2025-10-21   TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning [slides] 柴轩轩
  • 2025-10-21   Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning [slides] 周傅毅楠
  • 2025-10-28   Reducing Hallucinations in LVLMs [slides] 彭沛
  • 2025-10-28   CLIPood: Generalizing CLIP to Out-of-Distributions [slides] 郑金鹏
  • 2025-11-04   Adaptive Test-Time Personalization for Federated Learning [slides] 卢昕怡
  • 2025-11-04   Distribution-Aligned Decoding for Efficient LLM Task Adaptation [slides] 杨幸龙
  • 2025-11-04   Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement [slides] 张安东
  • 2025-11-11   VAR: VISUAL ATTENTION REASONING VIA STRUCTURED SEARCH AND BACKTRACKING [slides] 郝航
  • 2025-11-11   Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments [slides] 李思威
  • 2025-11-11   CTRLA: ADAPTIVE RETRIEVAL-AUGMENTED GENERATION VIA INHERENT CONTROL [slides] 谭轶
  • 2025-11-18   GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object Generation [slides] 温铭浩
  • 2025-11-18   3D-HGS: 3D Half-Gaussian Splatting [slides] 吴盛杰
  • 2025-11-18   VLN发展综述 [slides] 欣子豪
  • 2025-11-25   Chain-of-Thought Prompting for LLMs [slides] 赵东
  • 2025-11-25   Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model [slides] 赵翔鸽
  • 2025-12-02   LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning [slides] 刘昊哲
  • 2025-12-02   Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations [slides] 曾俊伟
  • 2025-12-09   Chain of Code: Reasoning with a Language Model Augmented Code Emulator [slides] 吕伟杰
  • 2025-12-16   DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt [slides] 陈浩东
  • 2025-12-16   Driving Fatigue Detection Based on Hybrid Electroencephalography and Eye Tracking [slides] 颜劭铭
  • 2025-12-16   Preference-Based Reinforcement Learning [slides] 周立戎
  • 2025-12-23   Learning with Noisy Labels From A Causal Perspective [slides] 金彤
  • 2025-12-23   PRISM: PROGRESSIVE ROBUST LEARNING FOR OPEN-WORLD CONTINUAL CATEGORY DISCOVERY [slides] 郑腾鑫陵
  • 2025-12-30   Fast Training of Accurate Physics-Informed Neural Networks without Gradient Descent [slides] 李宇
  • 2025-12-30   Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning [slides] 罗钦文
  • 2026-01-06   MIXING MECHANISMS: HOW LANGUAGE MODELS RETRIEVE BOUND ENTITIES IN-CONTEXT [slides] 赵东
  • 2026-01-06   Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning [slides] 陈俞亦
  • 2026-01-06   rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection [slides] 陆羿
  • 2026-01-13   Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning [slides] 陈奕晨
  • 2026-01-13   Concentration Distribution Learning from Label Distributions [slides] 刘文俊
  • 2026-01-20   ReSP: Retrieval Summarization with Planning for Multi-Hop Question Answering [slides] 李思威
  • 2026-01-20   TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space [slides] 谭轶

    • 2025 Spring

  • 2025-01-06   Composition-Guided Neural Network for Image Cropping Aesthetic Assessment [slides] 刘逸凡
  • 2025-01-06   WHAT MAKES GOOD DATA FOR ALIGNMENT? A COMPREHENSIVE STUDY OF AUTOMATIC DATA SELECTION IN INSTRUCTION TUNING [slides] 吕伟杰
  • 2025-01-06   Multi-Component Graph Convolutional Collaborative Filtering [slides] 吴子涵
  • 2025-01-13   LPFSformer: Location Prior Guided Frequency and Spatial Interactive Learning for Nighttime Flare Removal [slides] 刘睿璇
  • 2025-01-13   Exploring data bias in the VLM model [slides] 彭沛
  • 2025-01-13   Robust Test-Time Adaptation for Zero-Shot Prompt Tuning [slides] 郑腾鑫陵
  • 2025-02-24   Introduction to Real-Time Object Detection [slides] 欣子豪
  • 2025-02-24   Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts [slides] 郑金鹏
  • 2025-03-03   DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation [slides] 吴盛杰
  • 2025-03-03   WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion [slides] 张世杰
  • 2025-03-03   Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection [slides] 宗辰辰
  • 2025-03-10   Air traffic controllers’ mental fatigue recognition: A multi-sensor information fusion-based deep learning approach [slides] 颜劭铭
  • 2025-03-10   RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing [slides] 曾俊伟
  • 2025-03-10   Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning [slides] 周傅毅楠
  • 2025-03-17   Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization [slides] 丁宾宾
  • 2025-03-17   PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation [slides] 郭泽凯
  • 2025-03-17   Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos [slides] 赖彦涛
  • 2025-03-17   Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization [slides] 周立戎
  • 2025-03-24   Scope: On Detecting Constrained Backdoor Attacks in Federated Learning [slides] 丁宾宾
  • 2025-03-24   Prospective Representation Learning for Non-Exemplar Class-Incremental Learning [slides] 李其飞
  • 2025-03-24   ReZero: Region-Customizable Sound Extraction [slides] 朱新佳
  • 2025-03-31   In Pursuit of Causal Label Correlations for Multi-label Image Recognition [slides] 郝航
  • 2025-03-31   Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering [slides] 李思威
  • 2025-03-31   GNOT: A General Neural Operator Transformer for Operator Learning [slides] 毛佳恒
  • 2025-04-07   TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data [slides] 柴轩轩
  • 2025-04-07   Federated Noisy Label Learning [slides] 金彤
  • 2025-04-07   DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge [slides] 赵翔鸽
  • 2025-04-14   LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation [slides] 牛荣兵
  • 2025-04-14   BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models [slides] 谭轶
  • 2025-04-14   Collaborative Large Language Model for Recommender Systems [slides] 王宇
  • 2025-04-14   LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models [slides] 张安东
  • 2025-04-21   Mining In-distribution Attributes in Outliers for Out-of-distribution Detection [slides] 刘昊哲
  • 2025-04-21   CLIP-Guided Federated Learning on Heterogeneous and Long-Tailed Data [slides] 卢昕怡
  • 2025-04-21   Few-Shot Generative Conversational Query Rewriting [slides] 陶子健
  • 2025-04-28   ABA-FWI: Augmented Boundary Attention for Full Waveform Inversion [slides] 郭泽凯
  • 2025-04-28   Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach [slides] 温铭浩
  • 2025-04-28   Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail [slides] 赵翔鸽
  • 2025-05-12   Toward Blind Flare Removal Using Knowledge-Driven Flare-Level Estimator [slides] 刘睿璇
  • 2025-05-12   Cropper: Vision-Language Model for Image Cropping through In-Context Learning [slides] 刘逸凡
  • 2025-05-19   Texts as Images in Prompt Tuning for Multi-Label Image Recognition [slides] 熊淑贤
  • 2025-05-19   Open-Vocabulary Calibration for Fine-tuned CLIP [slides] 郑腾鑫陵
  • 2025-05-26   面向高效推理的半监督目标检测方法研究 [slides] 欣子豪
  • 2025-05-26   SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement [slides] 张世杰
  • 2025-05-26   Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity [slides] 郑金鹏
  • 2025-06-09   RL in LLMs [slides] 罗钦文
  • 2025-06-09   Zero-1-to-3: Zero-shot One Image to 3D Object [slides] 吴盛杰
  • 2025-06-09   Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting [slides] 颜劭铭
  • 2025-06-16   Incomplete In-context Learning [slides] 葛泽庆
  • 2025-06-16   Turbulence-Induced 2D Correlated Image Distortion [slides] 曾俊伟
  • 2025-06-23   GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths [slides] 赖彦涛
  • 2025-06-23   Executable Code Actions Elicit Better LLM Agents [slides] 吕伟杰
  • 2025-06-23   CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction [slides] 朱新佳
  • 2025-07-07   Delving into Out-of-Distribution Detection with Vision-Language Representations [slides] 郑腾鑫陵
  • 2025-07-07   Deep Reinforcement Learning from Human Preferences [slides] 周立戎
  • 2025-07-14   Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding [slides] 郝航
  • 2025-07-14   Parameterized Physics-informed Neural Networks for Parameterized PDEs [slides] 欧阳瑛子

    • 2024 Fall

  • 2024-07-08   Switching Temporary Teachers for Semi-Supervised Semantic Segmentation [slides] 陈傲
  • 2024-07-08   Semi-Supervised Domain Generalization with Known and Unknown Classes [slides] 肖家豪
  • 2024-07-08   SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution [slides] 李雅超
  • 2024-07-15   Learning Transferable Negative Prompts for Out-of-Distribution Detection [slides] 李其飞
  • 2024-07-15   HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations [slides] 张世杰
  • 2024-07-15   Multimodal Prompting with Missing Modalities for Visual Recognition [slides] 朱新佳
  • 2024-07-22   Deep Learning for Full Waveform Inversion [slides] 郭泽凯
  • 2024-07-24   Flare7K: A Phenomenological Nighttime Flare Removal Dataset [slides] 刘睿璇
  • 2024-07-24   View-Consistent 3DEditingwith Gaussian Splatting [slides] 温铭浩
  • 2024-09-02   Adversarial Graph Augmentation to Improve Graph Contrastive Learning [slides] 吴子涵
  • 2024-09-02   AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation [slides] 郑腾鑫陵
  • 2024-09-09   DGE: Direct Gaussian 3D Editingby Consistent Multi-view Editing [slides] 吴盛杰
  • 2024-09-09   EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies [slides] 颜劭铭
  • 2024-09-09   Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning [slides] 周傅毅楠
  • 2024-09-23   TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training [slides] 刘昊哲
  • 2024-09-23   LLAMA-OMNI: SEAMLESS SPEECH INTERACTION WITH LARGE LANGUAGE MODELS [slides] 吕伟杰
  • 2024-09-23   RAFT: Adapting Language Model to Domain Specific RAG [slides] 牛荣兵
  • 2024-09-30   DIFFUSEMIX: Label-Preserving Data Augmentation with Diffusion Models [slides] 王迁仟
  • 2024-09-30   Multi-Label Supervised Contrastive Learning [slides] 熊淑贤
  • 2024-09-30   CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning [slides] 郑金鹏
  • 2024-10-21   CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training [slides] 柴轩轩
  • 2024-10-21   Exploring data bias: from the known to the unknown [slides] 彭沛
  • 2024-10-21   Pi-DUAL: Using privileged information to distinguish clean from noisy labels [slides] 陶子健
  • 2024-11-04   Look Hear: Gaze Prediction for Speech-directed Human Attention [slides] 赖彦涛
  • 2024-11-04   Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models [slides] 赵翔鸽
  • 2024-11-04   Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm [slides] 宗辰辰
  • 2024-11-11   UNSUPERVISED LEARNING OF FULL-WAVEFORM INVERSION: CONNECTING CNN AND PARTIAL DIFFERENTIAL EQUATION IN A LOOP [slides] 郭泽凯
  • 2024-11-11   RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm [slides] 王宇
  • 2024-11-11   In-depth Introduction to the DETRs [slides] 欣子豪
  • 2024-11-18   FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping [slides] 丁宾宾
  • 2024-11-18   GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing [slides] 温铭浩
  • 2024-11-18   Local Color Distributions Prior for Image Enhancement [slides] 张安东
  • 2024-12-02   Generalized Category Discovery [slides] 池昱琦
  • 2024-12-02   Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction [slides] 朱新佳
  • 2024-12-09   A Review of Federated Multi-Label Learning [slides] 金彤
  • 2024-12-09   Test-Time Linear Out-of-Distribution Detection [slides] 李其飞
  • 2024-12-09   ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models [slides] 李思威
  • 2024-12-09   Neural-PDE: A RNN based neural network for solving time dependent PDEs [slides] 毛佳恒
  • 2024-12-16   Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss [slides] 刘昊哲
  • 2024-12-16   LTRL: Boosting Long-tail Recognition via Reflective Learning [slides] 魏晓蕾
  • 2024-12-16   Double Correction Framework for Denoising Recommendation [slides] 朱梓源
  • 2024-12-23   Federated Semi-Supervised Learning (FSSL) [slides] 卢昕怡
  • 2024-12-23   LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems [slides] 王迁仟
  • 2024-12-23   CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification [slides] 熊淑贤

    • 2024 Spring

  • 2024-03-04   InstanceDiffusion: Instance-level Control for Image Generation [slides] 李雅超
  • 2024-03-04   On the Pitfall of Mixup for Uncertainty Calibration [slides] 宗辰辰
  • 2024-03-11   MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins [slides] 牛纪龙
  • 2024-03-11   Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions [slides] 魏晓蕾
  • 2024-03-11   Current Status and Development Trend of Semi-supervised Objective Detection Research [slides] 欣子豪
  • 2024-03-18   Query-Policy Misalignment in Preference-Based Reinforcement Learning [slides] 罗钦文
  • 2024-03-18   Parameter-free Online Test-time Adaptation [slides] 张世杰
  • 2024-03-18   Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets [slides] 周立戎
  • 2024-03-25   Channel-spatial knowledge distillation for efficient semantic segmentation [slides] 孙悦
  • 2024-03-25   Partial Multi-Label Learning with Probabilistic Graphical Disambiguation [slides] 肖家豪
  • 2024-03-25   General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout [slides] 朱梓源
  • 2024-04-08   Defending against Backdoors in Federated Learning with Robust Learning Rate [slides] 丁宾宾
  • 2024-04-08   UniAR: Unifying Human Attention and Response Prediction on Visual Content [slides] 赖彦涛
  • 2024-04-08   Null-text Inversion for Editing Real Images using Guided Diffusion Models [slides] 温铭浩
  • 2024-04-15   Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond [slides] 刘睿璇
  • 2024-04-15   QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge [slides] 朱新佳
  • 2024-04-22   Exploiting Label Skews in Federated Learning with Model Concatenation [slides] 葛泽庆
  • 2024-04-22   Code LLMs and Data Selection [slides] 吕伟杰
  • 2024-04-22   How Re-sampling Helps for Long-Tail Learning? [slides] 郑金鹏
  • 2024-04-29   Review-Enhanced Hierarchical Contrastive Learning for Recommendation [slides] 牛荣兵
  • 2024-04-29   GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions [slides] 吴盛杰
  • 2024-04-29   Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage [slides] 周傅毅楠
  • 2024-05-06   CHMATCH: Contrastive Hierarchical Matching and Robust AdaptiveThreshold Boosted Semi-Supervised Learning [slides] 牛纪龙
  • 2024-05-06   De-biasing with Causal Theory [slides] 彭沛
  • 2024-05-13   No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier [slides] 陶子健
  • 2024-05-13   LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content [slides] 王迁仟
  • 2024-05-13   Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [slides] 熊淑贤
  • 2024-05-20   Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement [slides] 高远航
  • 2024-05-20   YolOOD: Utilizing Object Detection Concepts for Multi- Label Out-of-Distribution Detection [slides] 刘昊哲
  • 2024-05-20   Generative-Contrastive Graph Learning for Recommendation [slides] 张李军
  • 2024-05-27   Subclass-balancing Contrastive Learning for Long-tailed Recognition [slides] 陈汐程
  • 2024-05-27   Adaptive Early-Learning Correction for Segmentation from Noisy Annotations [slides] 孙悦
  • 2024-05-27   Inconsistency-Based Data-Centric Active Open-Set Annotation [slides] 宗辰辰
  • 2024-06-03   Balanced Classification: A Unified Framework for Long-Tailed Object Detection [slides] 魏晓蕾
  • 2024-06-03   DUAL RL: UNIFICATION AND NEW METHODS FOR REINFORCEMENT AND IMITATION LEARNING [slides] 周立戎
  • 2024-06-03   FineRec: Exploring Fine-grained Sequential Recommendation [slides] 朱梓源
  • 2024-06-17   Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers [slides] 赖彦涛
  • 2024-06-17   Reparameterized Policy Learning for Multimodal Trajectory Optimization [slides] 罗钦文
  • 2024-06-24   Mitigating Backdoor Attacks in Federated Learning [slides] 丁宾宾
  • 2024-06-24   In-depth Introduction to the Mamba [slides] 欣子豪
  • 2024-07-01   Multimodal Models 3. Multi-modal Large Language Model [slides] 范恒博
  • 2024-07-01   Zero-Reference Low-Light Enhancement via Physical Quadruple Priors [slides] 徐峥岩

    • 2023 Fall

  • 2023-09-07   FEDERATED SEMI-SUPERVISED LEARNING WITH INTER-CLIENT CONSISTENCY & DISJOINT LEARNING [slides] 葛泽庆
  • 2023-09-07   Mosaic Representation Learning for Self-supervised Visual Pre-training [slides] 周傅毅楠
  • 2023-09-07   Fast Counterfactual Inference for History-Based Reinforcement Learning [slides] 周立戎
  • 2023-09-22   An intriguing failing of convolutional neural networks and the CoordConv solution [slides] choumy
  • 2023-09-22   Iterative Prompt Learning for Unsupervised Backlit Image Enhancement [slides] 高远航
  • 2023-09-22   Large Selective Kernel Network for Remote Sensing Object Detection [slides] zhangjy
  • 2023-10-13   Deep Leakage from Gradients [slides] 丁宾宾
  • 2023-10-13   Boosting Offline Reinforcement Learning with Action Preference Query [slides] 罗钦文
  • 2023-10-13   DOES ZERO-SHOT REINFORCEMENT LEARNING EXIST? [slides] 王烨文
  • 2023-10-20   A brief Introduction to LLM [slides] guoht
  • 2023-10-20   Causal Learning in Machine Learning [slides] 彭沛
  • 2023-10-20   Efficient Teacher: Semi-Supervised Object Detection for YOLOv5 [slides] 欣子豪
  • 2023-10-27   Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification [slides] 陈傲
  • 2023-10-27   Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data [slides] 牛纪龙
  • 2023-11-03   Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels [slides] chenjy
  • 2023-11-03   FCC: Feature Clusters Compression for Long-Tailed Visual Recognition [slides] 陈汐程
  • 2023-11-03   Label Matching Semi-Supervised Object Detection [slides] hug
  • 2023-11-03   IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization [slides] 刘昊哲
  • 2023-11-03   Graph Contrastive Learning with Generative Adversarial Network [slides] 张李军
  • 2023-11-03   Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling [slides] 郑宇祥
  • 2023-11-17   How Re-sampling Helps for Long-Tail Learning? [slides] wangl
  • 2023-11-17   PMAL: Open Set Recognition via Robust Prototype Mining [slides] zhaosj
  • 2023-11-17   RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels [slides] 宗辰辰
  • 2023-11-24   Multimodal Models 1. Contrastive Language-Image Pre-training [slides] 范恒博
  • 2023-11-24   Person Image Synthesis via Denoising Diffusion Model [slides] 李雅超
  • 2023-12-01   COMPETITIVE PHYSICS INFORMED NETWORKS [slides] shanb
  • 2023-12-01   Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups [slides] 孙悦
  • 2023-12-01   Semi-Supervised Learning——Class Imbalance & Inconsistent Distribution [slides] 肖家豪
  • 2023-12-08   Multimodal Models 2. Diffusion Model [slides] 范恒博
  • 2023-12-08   Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation [slides] 王烨文
  • 2023-12-08   Local Color Distributions Prior for Image Enhancement [slides] 徐峥岩
  • 2023-12-15   Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations [slides] chana
  • 2023-12-15   VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining [slides] 高远航
  • 2023-12-15   LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation [slides] 牛荣兵
  • 2023-12-22   FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction [slides] 葛泽庆
  • 2023-12-22   NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis [slides] 吴盛杰
  • 2023-12-22   Partial Label Learning with a Partner [slides] 周傅毅楠
  •   AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models [slides] 吕伟杰
  •   TALISMAN ：Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information [slides] 熊淑贤
  •   Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement [slides] 徐峥岩

    • 2023 Spring

  • 2023-02-17   Debiased Self-Training for Semi-Supervised Learning [slides] 孙峰
  • 2023-02-17   Decoupled Contrastive Learning [slides] yangph
  • 2023-02-24   Label Inference Attacks Against Vertical Federated Learning [slides] 丁宾宾
  • 2023-02-24   Causality-driven Hierarchical Structure Discovery for Reinforcement Learning [slides] 周立戎
  • 2023-03-03   DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks [slides] shanb
  • 2023-03-03   Invariant Feature Learning for Generalized Long-Tailed Classification [slides] wl
  • 2023-03-03   DIRICHLET-BASED UNCERTAINTY CALIBRATION FOR ACTIVE DOMAIN ADAPTATION [slides] 宗辰辰
  • 2023-03-09   CAUSALITY COMPENSATED ATTENTION FOR CONTEXTUAL BIASED VISUAL RECOGNITION [slides] cjy
  • 2023-03-09   Domain Adaptation Object Detection [slides] hug
  • 2023-03-09   Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning [slides] 郑宇祥
  • 2023-03-17   Sparse Mixture-of-Experts are Domain Generalizable Learners [slides] yangph
  • 2023-03-17   Detecting Corrupted Labels Without Training a Model to Predict [slides] ym
  • 2023-03-24   How to Reweight Examples in SSL Using Meta-Learning [slides] 范恒博
  • 2023-03-31   Offline-to-Online Reinforcement Learning [slides] 罗钦文
  • 2023-03-31   FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning [slides] 肖家豪
  • 2023-04-28   IMAGE AS SET OF POINTS [slides] hug
  • 2023-04-28   Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics [slides] 王烨文
  • 2023-04-28   Augmentation and Generalization in Contrastive Self- Supervised Learning [slides] zhaosj
  • 2023-05-05   Security algorithms under Vertical Federated learning in the FATE framework [slides] 丁宾宾
  • 2023-05-05   How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? [slides] 郑宇祥
  • 2023-05-11   Dual Student Networks for Data-Free Model Stealing [slides] 万文海
  • 2023-05-12   Generating High Fidelity Data from Low-density Regions using Diffusion Models [slides] 王烨文
  • 2023-05-19   Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks [slides] 高远航
  • 2023-05-19   Generative Diffusion Prior for Unified Image Restoration and Enhancement [slides] 李雅超
  • 2023-05-19   Contrastive Learning for Low-Level Tasks in Computer Vision [slides] 徐峥岩
  • 2023-05-26   Visual Attention Network [slides] choumy
  • 2023-05-26   TC3KD: Knowledge distillation via teacher-student cooperative curriculum customization [slides] 孙悦
  • 2023-05-26   Consistency-based Active Learning for Object Detection [slides] zhangjy
  • 2023-06-02   MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins [slides] 范恒博
  • 2023-06-02   Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization [slides] 罗钦文
  • 2023-06-02   Causal Imitation Learning Via Inverse Reinforcement Learning [slides] 周立戎
  • 2023-06-16   Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [slides] chenjy
  • 2023-06-16   IMBALANCED SEMI-SUPERVISED LEARNING [slides] 牛纪龙
  • 2023-06-16   InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning [slides] 周傅毅楠
  • 2023-06-30   Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment [slides] 陈汐程
  • 2023-06-30   On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond [slides] wangl
  • 2023-07-14   Towards Addressing Label Skews In One-shot Federated Learning [slides] 葛泽庆
  • 2023-07-14   Transfer NAS with Meta-learned Bayesian Surrogates [slides] 刘昊哲
  • 2023-07-21   No One Left Behind: Improving the Worst Categories in Long-Tailed Learning [slides] 陈傲
  • 2023-07-21   Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels [slides] 肖家豪
  • 2023-07-21   Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm [slides] 熊淑贤

    • 2022 Fall

  • 2022-09-16   Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets [slides] 宗辰辰
  • 2022-09-16   Understanding and Improving Early Stopping for Learning with Noisy Labels [slides] zoubs
  • 2022-09-23   Large Loss Matters in Weakly Supervised Multi-Label Classification [slides] chenjy
  • 2022-09-23   Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network [slides] guoht
  • 2022-09-23   Regret Minimization Experience Replay in Off-Policy Reinforcement Learning [slides] weixc
  • 2022-09-30   Two articles on Contrastive Learning [slides] hug
  • 2022-09-30   Uncertainty-aware Learning Against Label Noise on Imbalanced Datasets [slides] wangl
  • 2022-09-30   A Brief Introduction to Machine Unlearning [slides] yangph
  • 2022-10-07   CoMatch: Semi-supervised Learning with Contrastive Graph Regularization [slides] caozt
  • 2022-10-07   Improving Out-of-Distribution Robustness via Selective Augmentation [slides] 万文海
  • 2022-10-07   Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation [slides] 肖家豪
  • 2022-10-13   Two ways to improve FixMatch Performance——From Pseudo-Labels Balancing to Dynamic Threshold [slides] 范恒博
  • 2022-10-13   Parrot: Data-Driven Behavioral Priors for Reinforcement Learning [slides] 罗钦文
  • 2022-10-13   L1 Regression with Lewis Weights Subsampling [slides] 唐英鹏
  • 2022-10-21   OPTION DISCOVERY USING DEEP SKILL CHAINING [slides] 王烨文
  • 2022-10-21   Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding [slides] 谢明昆
  • 2022-10-21   Representational Continuity for Unsupervised Continual Learning [slides] 郑宇祥
  • 2022-10-28   On Learning Contrastive Representations for Learning with Noisy Labels [slides] zhaosj
  • 2022-10-28   Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning [slides] 周立戎
  • 2022-11-04   SCAFFOLD: Stochastic Controlled Averaging for Federated Learning [slides] 丁宾宾
  • 2022-11-04   Adversarial Graph Contrastive Learning with Information Regularization [slides] lixj
  • 2022-11-04   A Brief Introduction to Data Poisoning and Backdoor Attack [slides] yangph
  • 2022-11-11   A Policy-Guided Imitation Approach for Offline Reinforcement Learning [slides] 罗钦文
  • 2022-11-11   Discovering and forecasting extreme events via active learning in neural operators [slides] pangyw
  • 2022-11-18   A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs [slides] shanb
  • 2022-11-25   Active Exploration for Inverse Reinforcement Learning [slides] 王烨文
  • 2022-11-25   RVS: WHAT IS ESSENTIAL FOR OFFLINE RL VIA SUPERVISED LEARNING? [slides] weixc
  • 2022-12-02   Can multi-label classification networks know what they don’t know? [slides] 陈傲
  • 2022-12-02   Offline RL Policies Should be Trained to be Adaptive [slides] 罗钦文
  • 2022-12-02   Adversarial Masking for Self-Supervised Learning [slides] 肖家豪
  • 2022-12-09   Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels [slides] 范恒博
  • 2022-12-09   Active Learning by Feature Mixing [slides] hug
  • 2022-12-09   Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning [slides] 宗辰辰
  • 2022-12-30   VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition [slides] cjy

    • 2022 Spring

  • 2022-02-28   Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID [slides] guoht
  • 2022-02-28   Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment [slides] 宗辰辰
  • 2022-02-28   Offline Reinforcement Learning With In-Sample Q-Learning [slides] zoubs
  • 2022-03-07   Swin Transformer: Hierarchical Vision Transformer using Shifted Windows [slides] hug
  • 2022-03-07   SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation [slides] lixj
  • 2022-03-07   Multi-Objective Interpolation Training for Robustness to Label Noise [slides] 万文海
  • 2022-03-14   Transferable Attention for Domain Adaptation [slides] 曹正涛
  • 2022-03-14   PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning [slides] 何花
  • 2022-03-21   Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers [slides] 庞懿闻
  • 2022-03-21   Focal and Global Knowledge Distillation for Detectors CVPR 2022 [slides] wangl
  • 2022-03-21   PRIORITIZED EXPERIENCE REPLAY [slides] weixc
  • 2022-03-28   Multi-Label Learning from Single Positive Labels [slides] chenjy
  • 2022-03-28   Undistillable: Making A Nasty Teacher that CANNOT Teach Students [slides] yangph
  • 2022-03-28   Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning [slides] yangph
  • 2022-03-28   EXPLORING BALANCED FEATURE SPACES FOR REP-RESENTATION LEARNING [slides] zhangqh
  • 2022-04-11   TrustAL: Trustworthy Active Learning using Knowledge Distillation [slides] 唐英鹏
  • 2022-04-11   Visual Attention Consistency under Image Transforms for Multi-Label Image Classification [slides] 谢明昆
  • 2022-04-18   Off-Policy Deep Reinforcement Learning without Exploration [slides] 王烨文
  • 2022-04-18   Experience Replay with Likelihood-free Importance Weights [slides] weixc
  • 2022-04-18   General Multi-label Image Classification with Transformers [slides] 肖家豪
  • 2022-04-25   Exploiting Class Activation Value For Partial-Label Learning [slides] 陈傲
  • 2022-04-25   Boosting Active Learning via Improving Test Performance [slides] guoht
  • 2022-04-25   HYPERDQN: A RANDOMIZED EXPLORATION METHOD FOR DEEP REINFORCEMENT LEARNING [slides] 罗钦文
  • 2022-05-09   SimMatch: Semi-supervised Learning with Similarity Matching [slides] 范恒博
  • 2022-05-09   Event Transformer [slides] hug
  • 2022-05-09   Are Graph Augmentations Necessary? Simple Contrastive Learning for Recommendation [slides] lixj
  • 2022-05-23   Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation [slides] 曹正涛
  • 2022-05-23   UNICON Combating Label Noise Through Uniform Selection and Contrastive Learning [slides] chenjy
  • 2022-05-23   Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective [slides] yangph
  • 2022-05-23   Decoupled Knowledge Distillation [slides] yangph
  • 2022-05-30   Deep Neural Networks Motivated by Partial Differential Equations [slides] 庞懿闻
  • 2022-05-30   Solving Inefficiency of Self-supervised Representation Learning [slides] wangl
  • 2022-06-06   Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization [slides] 何花
  • 2022-06-06   Contrastively Enforcing Distinctiveness for Multi-Label Classification [slides] 万文海
  • 2022-06-06   Revisiting Consistency Regularization for Deep Partial Label Learning [slides] zoubs
  • 2022-06-13   Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems [slides] shanb
  • 2022-06-13   Self Supervision to Distillation for Long-Tailed Visual Recognition [slides] zhangqh
  • 2022-06-13   Conditional DETR for Fast Training Convergence [slides] zhangsf
  • 2022-06-20   Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks [slides] 黄振
  • 2022-06-20   Pure Noise to the Rescue of Insufficient Data:Improving Imbalanced Classification by Training on Random Noise Images [slides] 唐英鹏
  • 2022-06-20   Open Set Learning with Counterfactual Images [slides] 谢明昆
  • 2022-06-27   Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction [slides] shihc
  • 2022-06-27   Learning Transferable Visual Models From Natural Language Supervision [slides] 孙峰
  • 2022-06-27   Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data [slides] 宗辰辰
  • 2022-07-04   Multi-label Iterated Learning for Image Classification with Label Ambiguity [slides] chenjy
  • 2022-07-04   Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels [slides] guoht
  • 2022-07-04   Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination [slides] lixj
  • 2022-07-18   E-CIR: Event-Enhanced Continuous Intensity Recovery [slides] hug
  • 2022-07-18   DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction [slides] weixc
  • 2022-07-18   Two Papers about Continual Learning [slides] wuyf

    • 2021 Fall

  • 2021-08-13   Decoupling Representation and Classifier for Long-Tailed Recognition [slides] 刘耀
  • 2021-08-13   Humble Teachers Teach Better Students for Semi-Supervised Object Detection [slides] 罗世发
  • 2021-08-21   Self-Tuning for Data-Efficient Deep Learning [slides] 侍野
  • 2021-08-21   Relation-aware Graph Attention Model With Adaptive Self-adversarial Training [slides] 韦梦龙
  • 2021-08-29   Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms [slides] 唐英鹏
  • 2021-08-29   What Makes for Good Views for Contrastive Learning? [slides] 宗辰辰
  • 2021-09-03   Invariant Information Clustering for Unsupervised Image Classification and Segmentation [slides] 谢明昆
  • 2021-09-03   Two Articles about Label Smoothing and Knowledge Distillation [slides] yangph
  • 2021-09-12   A brief introduction to imitation learning [slides] weixc
  • 2021-09-12   IMPLEMENTATION MATTERS IN DEEP POLICY GRADIENTS: A CASE STUDY ON PPO AND TRPO [slides] zoubs
  • 2021-09-17   FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation [slides] 曹正涛
  • 2021-09-17   Adversarial Imitation Learning with Trajectorial Augmentation and Correction [slides] 何花
  • 2021-09-17   1. Go-Explore: a New Approach for Hard-Exploration Problems 2. First return, then explore [slides] 黄振
  • 2021-09-24   Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators [slides] 庞懿闻
  • 2021-09-24   GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training [slides] 孙峰
  • 2021-09-24   Active Learning for Noisy Data Streams Using Weak and Strong Labelers [slides] 吴宇凡
  • 2021-10-05   Decoupling Representation and Classifier for Long-Tailed Recognition [slides] 刘耀
  • 2021-10-05   Be Your Own Teacher：Improve the Performance of Convolutional Neural Networks via Self Distillation [slides] 罗世发
  • 2021-10-05   Contrastive Coding for Active Learning under Class Distribution Mismatch [slides] 宁鲲鹏
  • 2021-10-11   Robust and Generalizable Visual Representation Learning via Random Convolutions [slides] 侍野
  • 2021-10-11   Active Image Synthesis for Efficient Labeling [slides] 唐英鹏
  • 2021-10-11   Multi-view Feature Augmentation with Adaptive Class Activation Mapping [slides] 韦梦龙
  • 2021-10-18   Learning When and Where to Zoom with Deep Reinforcement Learning [slides] shihc
  • 2021-10-18   SOTA of Two Technical Routes in Model Calibration: Gaussian Process Calibration & I-Max Binning [slides] yangph
  • 2021-10-18   A Baseline for Detecting Misclassified and Out-of-Distribution Examples In Neural Networks [slides] 周慧
  • 2021-10-25   Rethinking data efficiency in reinforcement learning [slides] weixc
  • 2021-10-25   Long-Tailed Visual Recognition [slides] zhangqh
  • 2021-11-01   Tackling the long-tailed problem from the perspective of knowledge distillation [slides] guoht
  • 2021-11-01   HOTR: End-to-End Human-Object Interaction Detection with Transformers [slides] zhangsf
  • 2021-11-01   Two Articles about Knowledge Distillation and Active Learning [slides] 宗辰辰
  • 2021-11-08   All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training [slides] 侍野
  • 2021-11-08   An Introduction of Batch Reinforcement Learning [slides] zoubs
  • 2021-11-19   Recall Traces: Backtracking Models for Efficient Reinforcement Learning [slides] 何花
  • 2021-11-19   Decision Transformer: Reinforcement Learning via Sequence Modeling [slides] 黄振
  • 2021-11-19   BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning [slides] lixj
  • 2021-11-25   Query2Label: A Simple Transformer Way to Multi-Label Classification [slides] chenjy
  • 2021-11-25   Deep Feature Interpolation [slides] 宁鲲鹏
  • 2021-11-25   1. Neural operator Learning maps between function spaces 2. Neural operator Graph kernel network for partial differential equations 3. Fourier Neural Operator for Parametric Partial Differential Equations [slides] 庞懿闻
  • 2021-12-03   Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection [slides] wangl
  • 2021-12-03   Learning without Forgetting [slides] 吴宇凡
  • 2021-12-03   Contrastive Label Disambiguation for Partial Label Learning [slides] 谢明昆
  • 2021-12-07   Improving Calibration for Long-Tailed Recognition [slides] 万文海
  • 2021-12-10   Search to Distill: Pearls are Everywhere but not the Eyes [slides] 刘耀
  • 2021-12-10   Distilling Holistic Knowledge with Graph Neural Networks [slides] yangph
  • 2021-12-10   Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect [slides] zhangqh
  • 2021-12-17   Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation [slides] 曹正涛
  • 2021-12-17   NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs [slides] 韦梦龙
  • 2021-12-31   Two Articles about Loss function for long-tail distribution [slides] hug
  • 2021-12-31   When do Curricula Work? [slides] 唐英鹏
  • 2022-01-07   Towards General and Efficient Active Learning [slides] guoht
  • 2022-01-07   Model-Contrastive Federated Learning / FEDMIX:APPROXIMATION OF MIXUP UNDER MEAN AUGMENTED FEDERATED LEARNING / FEDERATED SEMI-SUPERVISED LEARNING WITH INTER-CLIENT CONSISTENCY &DISJOINT LEARNING [slides] 宗辰辰
  • 2022-01-14   MetaFormer is Actually What You Need for Vision [slides] shihc
  • 2022-01-14   Offline RL: Benchmark and a new algorithm [slides] weixc
  • 2022-01-14   Mining the Benefits of Two-stage and One-stage HOI Detection [slides] zhangsf

    • 2021 Spring

  • 2021-03-17   Few-Shot Adversarial Domain Adaptation. [slides] 曹正涛
  • 2021-03-17   FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. [slides] 何花
  • 2021-03-17   Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. [slides] 黄振
  • 2021-03-24   Class-Balanced Loss Based on Effective Number of Samples. [slides] 孙峰
  • 2021-03-24   Learning Parameters and Constitutive Relationships with Physics Informed Deep Neural Networks. [slides] 庞懿闻
  • 2021-03-24   NLNL: Negative Learning for Noisy Labels. [slides] 吴宇凡
  • 2021-03-31   Model-Free Episodic Control. & Episodic Memory Deep Q-Networks. & Episodic Reinforcement Learning with Associative Memory. [slides] 宁鲲鹏
  • 2021-03-31   VaB-AL：Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning. [slides] 罗世发
  • 2021-04-07   Multi-class classification without Multi-class Labels. [slides] 周慧
  • 2021-04-07   Learning from Crowds by Modeling Common Confusions. [slides] 侍野
  • 2021-04-07   Fair Generative Modeling via Weak Supervision. [slides] 韦梦龙
  • 2021-04-07   Multi-class classification without Multi-class Labels [slides] 周慧
  • 2021-04-14   Unsupervised Domain Adaptation Via Structured Prediction Based Selective Pseudo-Labeling [slides] 曹正涛
  • 2021-04-14   Multiple Instance Active Learning for Object Detection [slides] shihc
  • 2021-04-14   A Brief Introduction of Model Reuse [slides] 唐英鹏
  • 2021-04-21   Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables [slides] 何花
  • 2021-04-21   Dataset Distillation [slides] 宁鲲鹏
  • 2021-04-29   SEQUENCE LEVEL TRAINING WITH RECURRENT NEURAL NETWORKS [slides] 黄振
  • 2021-04-29   Rethinking the Value of Labels for Improving Class-Imbalanced Learning [slides] 吴宇凡
  • 2021-05-12   Learning Representations for Time Series Clustering [slides] 罗世发
  • 2021-05-12   Adaptive activation functions accelerate convergence in deep and physics-informed neural networks [slides] 庞懿闻
  • 2021-05-19   Friendly Adversarial Training: Attacks Which Do Not Kill Training Make Adversarial Learning Stronger [slides] 刘耀
  • 2021-05-19   Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise [slides] 侍野
  • 2021-05-19   Graph Random Neural Networks for Semi-Supervised Learning on Graphs [slides] 韦梦龙
  • 2021-05-26   Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning [slides] 周慧
  • 2021-06-02   SMAPGAN: Generative Adversarial Network-Based Semi-Supervised Styled Map Tile Generation Method [slides] shihc
  • 2021-06-02   Federated Machine Learning: Concept and Applications [slides] 唐英鹏
  • 2021-06-02   Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss [slides] 谢明昆
  • 2021-06-09   Implicit Semantic Data Augmentation for Deep Networks [slides] 曹正涛
  • 2021-06-09   Intrinsic Motivation & RL [slides] 何花
  • 2021-06-09   Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards [slides] 黄振
  • 2021-06-16   A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural Network [slides] 庞懿闻
  • 2021-06-16   Contrastive Learning with Stronger Augmentations [slides] 孙峰
  • 2021-06-16   Noise-resistant Deep Metric Learning with Ranking-based Instance Selection [slides] 吴宇凡
  • 2021-06-23   Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels [slides] 刘耀
  • 2021-06-23   Putting An End to End-to-End: Gradient-Isolated Learning of Representations [slides] 罗世发
  • 2021-06-23   Active Learning for Video Classification [slides] 宁鲲鹏
  • 2021-06-30   Normalized Loss Functions for Deep Learning with Noisy Labels [slides] 侍野
  • 2021-06-30   UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks [slides] 韦梦龙
  • 2021-06-30   Barlow Twins: Self-Supervised Learning via Redundancy Reduction [slides] 周慧
  • 2021-07-07   Asymmetric Tri