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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)

Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 Expanding the Category of Classifiers with LLM Supervision IJCAI 2025 Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning AAAI 2025 Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader EMNLP 2025 ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance EMNLP 2025 Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models EMNLP 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025 Expected Return Symmetries ICLR 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025 Experimentation under Treatment Dependent Network Interference UAI 2025 ExpertAF: Expert Actionable Feedback from Video CVPR 2025 ExpertGenQA: Open-ended QA generation in Specialized Domains EMNLP 2025 Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge UAI 2025 ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP AAAI 2025 Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild IJCAI 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training EMNLP 2025 EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025 Explaining Human Preferences via Metrics for Structured 3D Reconstruction ICCV 2025 Explaining Relationships Among Research Papers COLING 2025 Explaining the role of Intrinsic Dimensionality in Adversarial Training ICML 2025 Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons ICLR 2025 ExpLay: A new Corpus Resource for the Research on Expertise as an Influential Factor on Language Production ACL 2025 Explicit and Implicit Data Augmentation for Social Event Detection ACL 2025