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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)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection ICCV 2025 Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation ACL 2025 Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models ICLR 2025 Fair and Efficient Completion of Indivisible Goods AAAI 2025 Fair Division with Social Impact AAAI 2025 Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025 FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation ICML 2025 Fairness-Accuracy Trade-Offs: A Causal Perspective AAAI 2025 Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All EMNLP 2025 Fair Resource Allocation in Weakly Coupled Markov Decision Processes AISTATS 2025 FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training WACV 2025 Fair Text Classification via Transferable Representations JMLR 2025 Fair Training with Zero Inputs AAAI 2025 Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations ACL 2025 Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention COLING 2025 Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation NAACL 2025 FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection AAAI 2025 FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos ICCV 2025 FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025 Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data NAACL 2025 FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025 Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models SemEval 2025 Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning CVPR 2025 Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage ICLR 2025