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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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220
477
4,652
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2000
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Papers (including subtopics)

What Makes Reading Comprehension Questions Difficult? ACL 2022 What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors CVPR 2022 What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022 What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment NeurIPS 2022 What to Learn, and How: Toward Effective Learning from Rationales ACL 2022 What Was Your Name Again? Interrogating Generative Conversational Models For Factual Consistency Evaluation EMNLP 2022 When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty AAAI 2022 When and How Mixup Improves Calibration ICML 2022 When Are Linear Stochastic Bandits Attackable? ICML 2022 When are Local Queries Useful for Robust Learning? NeurIPS 2022 When are Offline Two-Player Zero-Sum Markov Games Solvable? NeurIPS 2022 When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it NAACL 2022 When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022 When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022 When Combinatorial Thompson Sampling meets Approximation Regret NeurIPS 2022 When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? NAACL 2022 When does CLIP generalize better than unimodal models? When judging human-centric concepts ACL 2022 When Does Contrastive Visual Representation Learning Work? CVPR 2022 When Does Differentially Private Learning Not Suffer in High Dimensions? NeurIPS 2022 When does dough become a bagel? Analyzing the remaining mistakes on ImageNet NeurIPS 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 When does Parameter-Efficient Transfer Learning Work for Machine Translation? EMNLP 2022 When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework AAAI 2022 When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer NAACL 2022 When Is Partially Observable Reinforcement Learning Not Scary? COLT 2022