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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)

Arbitrary-steps Image Super-resolution via Diffusion Inversion CVPR 2025 ARC ‘Challenge’ Is Not That Challenging ACL 2025 Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough? ACL 2025 ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry ACL 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 Arctic-TILT. Business Document Understanding at Sub-Billion Scale ACL 2025 A Realistic Protocol for Evaluation of Weakly Supervised Object Localization WACV 2025 A Reality Check on Context Utilisation for Retrieval-Augmented Generation ACL 2025 A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning WACV 2025 A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025 Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models EMNLP 2025 Are Bias Evaluation Methods Biased ? ACL 2025 Are Checklists Really Useful for Automatic Evaluation of Generative Tasks? EMNLP 2025 A Recipe For Building a Compliant Real Estate Chatbot COLING 2025 Are Exemplar-Based Class Incremental Learning Models Victim of Black-Box Poison Attacks? WACV 2025 Are Expressive Models Truly Necessary for Offline RL? AAAI 2025 A REGNLP Framework: Developing Retrieval-Augmented Generation for Regulatory Document Analysis COLING 2025 A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025 Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers? CVPR 2025 A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment ACL 2025 Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages NAACL 2025 Are Language Models Consequentialist or Deontological Moral Reasoners? EMNLP 2025 Are Large Language Models Chronically Online Surfers? A Dataset for Chinese Internet Meme Explanation EMNLP 2025 Are Large Language Models for Education Reliable Across Languages? ACL 2025 Are Larger Language Models Better at Disambiguation? NAACL 2025