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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)

ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions AAAI 2025 ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) AAAI 2025 ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models EMNLP 2025 ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps AAAI 2025 ERM++: An Improved Baseline for Domain Generalization WACV 2025 Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025 Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis ACL 2025 Error Detection for Multimodal Classification NAACL 2025 Error Detection in Medical Note through Multi Agent Debate ACL 2025 Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing AAAI 2025 Error-driven Data-efficient Large Multimodal Model Tuning ACL 2025 Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? NAACL 2025 ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation ACL 2025 Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces CVPR 2025 ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025 ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge EMNLP 2025 ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning ICCV 2025 Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis ACL 2025 Estimating LLM Consistency: A User Baseline vs Surrogate Metrics EMNLP 2025 ETA: Energy-based Test-time Adaptation for Depth Completion ICCV 2025 Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation ACL 2025 ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries ACL 2025 ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY ICLR 2025 Eureka-CIOL@DravidianLangTech 2025: Using Customized BERTs for Sentiment Analysis of Tamil Political Comments NAACL 2025 EuroGEST: Investigating gender stereotypes in multilingual language models EMNLP 2025