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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)

Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract) AAAI 2025 Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation AISTATS 2025 Accurate Estimation of Feature Importance Faithfulness for Tree Models AAAI 2025 Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning AAAI 2025 ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos WACV 2025 ACE: Anatomically Consistent Embeddings in Composition and Decomposition WACV 2025 ACE: Anti-Editing Concept Erasure in Text-to-Image Models CVPR 2025 ACECODER: Acing Coder RL via Automated Test-Case Synthesis ACL 2025 ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training ICCV 2025 AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling ACL 2025 Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning ICCV 2025 ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025 Acknowledging Focus Ambiguity in Visual Questions ICCV 2025 ACL 2025 Industry Track: Overview ACL 2025 A Closer Look at Backdoor Attacks on CLIP ICML 2025 A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models EMNLP 2025 A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension NAACL 2025 A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions NAACL 2025 A Comprehensive Survey on Learning from Rewards for Large Language Models: Reward Models and Learning Strategies EMNLP 2025 A Comprehensive Taxonomy of Bias Mitigation Methods for Hate Speech Detection ACL 2025 A Computational Framework for Modeling Emergence of Color Vision in the Human Brain ICLR 2025 A Computational Simulation of Language Production in First Language Acquisition EMNLP 2025 A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset AISTATS 2025 A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025 A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025