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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)

When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NeurIPS 2022 When should agents explore? ICLR 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NeurIPS 2022 When to Classify Events in Open Times Series? ACML 2022 When to Intervene: Learning Optimal Intervention Policies for Critical Events NeurIPS 2022 When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning ACL 2022 When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters IJCAI 2022 When, Why, and Which Pretrained GANs Are Useful? ICLR 2022 Where’s the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit EMNLP 2022 Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications COLING 2022 Where to Pay Attention in Sparse Training for Feature Selection? NeurIPS 2022 Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations NeurIPS 2022 Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022 Which Model is Best: Comparing Methods and Metrics for Automatic Laughter Detection in a Naturalistic Conversational Dataset Interspeech 2022 Which Model To Transfer? Finding the Needle in the Growing Haystack CVPR 2022 Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media ACL 2022 Whitening Convergence Rate of Coupling-based Normalizing Flows NeurIPS 2022 Whodunit? Learning to Contrast for Authorship Attribution AACL 2022 Who Is Your Right Mixup Partner in Positive and Unlabeled Learning ICLR 2022 Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction CVPR 2022 Why Do Artificially Generated Data Help Adversarial Robustness NeurIPS 2022 Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition? Interspeech 2022 Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective NeurIPS 2022 Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation ACL 2022 Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality EMNLP 2022