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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)

Consistency-aware Self-Training for Iterative-based Stereo Matching CVPR 2025 ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities ACL 2025 Consistency of Compositional Generalization Across Multiple Levels AAAI 2025 ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch EMNLP 2025 Consistent Validation for Predictive Methods in Spatial Settings AISTATS 2025 Constant-Factor Distortion Mechanisms for k-Committee Election AAAI 2025 Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation AISTATS 2025 Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025 Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025 Constrained Sequential Inference in Machine Learning Using Constraint Programming IJCAI 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 Constraint-based Causal Discovery from a Collection of Conditioning Sets UAI 2025 Construction-Based Reduction of Translationese for Low-Resource Languages: A Pilot Study on Bavarian ACL 2025 ConstStyle: Robust Domain Generalization with Unified Style Transformation ICCV 2025 Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty IJCAI 2025 Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification AAAI 2025 Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation AAAI 2025 Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions ICLR 2025 Context-Aware Academic Emotion Dataset and Benchmark ICCV 2025 Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels AAAI 2025 Context-Aware Multimodal Pretraining CVPR 2025 Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents ACL 2025 ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval CVPR 2025 Context is all you need? Low-resource conversational ASR profits from context, coming from the same or from the other speaker Interspeech 2025 Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings EMNLP 2025