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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)

AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025 All models are wrong, some are useful: Model Selection with Limited Labels AISTATS 2025 All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising CVPR 2025 All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning EMNLP 2025 All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment ACL 2025 Almost linear time differentially private release of synthetic graphs AISTATS 2025 Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits ICLR 2025 Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025 A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization AAAI 2025 A Low-Shot Prompting Approach to Lemmatization in the EvaCun 2025 Shared Task NAACL 2025 AlphaBorno at BLP-2025 Task 2: Code Generation with Structured Prompts and Execution Feedback AACL 2025 AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025 Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment EMNLP 2025 AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time EMNLP 2025 ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only WACV 2025 ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025 ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense EMNLP 2025 ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect AAAI 2025 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering EMNLP 2025 AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System EMNLP 2025 Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization EMNLP 2025 Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval AAAI 2025 Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering AAAI 2025 AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction ICCV 2025