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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)

Enrich and Detect: Video Temporal Grounding with Multimodal LLMs ICCV 2025 Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets ACL 2025 Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching EMNLP 2025 Ensemble Foreground Management for Unsupervised Object Discovery ICCV 2025 Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models EMNLP 2025 Entailed Between the Lines: Incorporating Implication into NLI ACL 2025 Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework NAACL 2025 Entity Framing and Role Portrayal in the News ACL 2025 Entity Pair-guided Relation Summarization and Retrieval in LLMs for Document-level Relation Extraction NAACL 2025 EntitySAM: Segment Everything in Video CVPR 2025 Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025 EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection CVPR 2025 EoT: Evolution of Thoughts for Complex Reasoning Tasks EMNLP 2025 Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation ICCV 2025 Epistemic Bellman Operators AAAI 2025 EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning ACL 2025 Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning AAAI 2025 Equal Truth: Rumor Detection with Invariant Group Fairness EMNLP 2025 EquiBench: Benchmarking Large Language Models’ Reasoning about Program Semantics via Equivalence Checking EMNLP 2025 EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks ICCV 2025 Equilibria of the Colonel Blotto Games with Costs AAAI 2025 Equivalence is All: A Unified View for Self-supervised Graph Learning ICML 2025 Equivariant Masked Position Prediction for Efficient Molecular Representation ICLR 2025 Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025 Erasing Undesirable Influence in Diffusion Models CVPR 2025