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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)

Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models EMNLP 2025 Webis at CQs-Gen 2025: Prompting and Reranking for Critical Questions ACL 2025 Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning ACL 2025 Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric ICLR 2025 Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025 Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity AAAI 2025 We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? ACL 2025 We Need to Measure Data Diversity in NLP — Better and Broader EMNLP 2025 Wenzhou Dialect Speech to Mandarin Text Conversion NAACL 2025 WEPO: Web Element Preference Optimization for LLM-based Web Navigation AAAI 2025 WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain ACL 2025 We’re Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text NAACL 2025 What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning AAAI 2025 What Causes Knowledge Loss in Multilingual Language Models? ACL 2025 What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning ICCV 2025 What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models ICCV 2025 What Counts Underlying LLMs’ Moral Dilemma Judgments? ACL 2025 What data should I include in my POS tagging training set? EMNLP 2025 What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation NAACL 2025 “What do you call a dog that is incontrovertibly true? Dogma”: Testing LLM Generalization through Humor ACL 2025 What Has Been Lost with Synthetic Evaluation? EMNLP 2025 What if Othello-Playing Language Models Could See? EMNLP 2025 What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models CoNLL 2025 What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI 2025 What Makes Cryptic Crosswords Challenging for LLMs? COLING 2025