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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond ICLR 2025 Federated Continuous Category Discovery and Learning ICCV 2025 Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Granger Causality Learning For Interdependent Clients With State Space Representation ICLR 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Incremental Named Entity Recognition COLING 2025 Federated Learning with Sample-level Client Drift Mitigation AAAI 2025 Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025 Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025 Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents AISTATS 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025 FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift ICCV 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling ICCV 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 Feedback Schrödinger Bridge Matching ICLR 2025 Feedforward Few-shot Species Range Estimation ICML 2025 Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion ICCV 2025 Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation EMNLP 2025 “Feels Feminine to Me”: Understanding Perceived Gendered Style through Human Annotations EMNLP 2025 Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints CVPR 2025 Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025