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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)

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting CVPR 2025 POI Recommendation via Multi-Objective Adversarial Imitation Learning AAAI 2025 PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data ICML 2025 PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models ICML 2025 Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers IJCAI 2025 Policy Design in Long-run Welfare Dynamics ICLR 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences AISTATS 2025 Political Bias Prediction Models Focus on Source Cues, Not Semantics AAAI 2025 PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes NAACL 2025 PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles ACL 2025 PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech EMNLP 2025 Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025 POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction IJCAI 2025 PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos ICLR 2025 PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment ACL 2025 POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025 Population Aware Diffusion for Time Series Generation AAAI 2025 Population Transformer: Learning Population-level Representations of Neural Activity ICLR 2025 Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models ICML 2025 PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models EMNLP 2025 Portuguese Automated Fact-checking: Information Retrieval with Claim extraction ACL 2025 POS-Aware Neural Approaches for Word Alignment in Dravidian Languages COLING 2025 PoseStitch-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation EMNLP 2025 PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data ICCV 2025 Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research ICML 2025