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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)

Conformalized Interval Arithmetic with Symmetric Calibration AAAI 2025 Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information UAI 2025 Conformal Prediction for Partial Label Learning AAAI 2025 Conformal Prediction for Zero-Shot Models CVPR 2025 Conformal Prediction Under Generalized Covariate Shift with Posterior Drift AISTATS 2025 Conformal Prediction without Nonconformity Scores UAI 2025 ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025 Conformal Structured Prediction ICLR 2025 Conformal Thresholded Intervals for Efficient Regression AAAI 2025 Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness ICCV 2025 Confounding Factors in Relating Model Performance to Morphology EMNLP 2025 ConfReady: A RAG based Assistant and Dataset for Conference Checklist Responses EMNLP 2025 Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning COLING 2025 ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords ACL 2025 ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering ICLR 2025 ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer CVPR 2025 Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning IJCAI 2025 Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning EMNLP 2025 Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding COLING 2025 Consensus-Driven Active Model Selection ICCV 2025 Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning IJCAI 2025 Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering EMNLP 2025 ConShift: Sense-based Language Variation Analysis using Flexible Alignment NAACL 2025 ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability ACL 2025 Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search IJCAI 2025