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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)

Context Is Ubiquitous, but Rarely Changes Judgments: Revisiting Document-Level MT Evaluation EMNLP 2025 ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations EMNLP 2025 Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning EMNLP 2025 Contextual Bandits with Stage-wise Constraints JMLR 2025 Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy NAACL 2025 Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding ICLR 2025 Contextual Structure Knowledge Transfer for Graph Neural Networks AAAI 2025 Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025 Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ACL 2025 Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection WACV 2025 Continual Learning in Large Language Models: Foundations to Frontiers IJCNLP 2025 Continual Learning in Multilingual Sign Language Translation NAACL 2025 Continual Learning of Large Language Models EMNLP 2025 Continual Learning of Personalized Generative Face Models with Experience Replay WACV 2025 Continual Learning Using a Kernel-Based Method Over Foundation Models AAAI 2025 Continual Learning Using Only Large Language Model Prompting COLING 2025 Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis ICCV 2025 Continual Personalization for Diffusion Models ICCV 2025 Continual SFT Matches Multimodal RLHF with Negative Supervision CVPR 2025 Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt ICLR 2025 Continual Speech Learning with Fused Speech Features Interspeech 2025 Continual Unsupervised Generative Modelling via Online Optimal Transport AAAI 2025 Continued Pretraining and Interpretability-Based Evaluation for Low-Resource Languages: A Galician Case Study ACL 2025 Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence Interspeech 2025 Continuously evolving rewards in an open-ended environment JMLR 2025