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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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4,652
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2000
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Papers (including subtopics)

Pronunciation Dictionary-Free Multilingual Speech Synthesis by Combining Unsupervised and Supervised Phonetic Representations Interspeech 2022 Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples CVPR 2022 Proper Reuse of Image Classification Features Improves Object Detection CVPR 2022 Properties from mechanisms: an equivariance perspective on identifiable representation learning ICLR 2022 Proportional Public Decisions AAAI 2022 ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues CVPR 2022 ProQA: Structural Prompt-based Pre-training for Unified Question Answering NAACL 2022 Protecting Celebrities From DeepFake With Identity Consistency Transformer CVPR 2022 Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer CVPR 2022 ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits ACML 2022 Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022 Prototype memory and attention mechanisms for few shot image generation ICLR 2022 Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction EMNLP 2022 Prototypical Contrastive Predictive Coding ICLR 2022 Prototypical speaker-interference loss for target voice separation using non-parallel audio samples Interspeech 2022 Prototypical Verbalizer for Prompt-based Few-shot Tuning ACL 2022 ProtoX: Explaining a Reinforcement Learning Agent via Prototyping NeurIPS 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NeurIPS 2022 Provable Continual Learning via Sketched Jacobian Approximations AISTATS 2022 Provable Domain Generalization via Invariant-Feature Subspace Recovery ICML 2022 Provable General Function Class Representation Learning in Multitask Bandits and MDP NeurIPS 2022 Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 Provable Lifelong Learning of Representations AISTATS 2022 Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance ICML 2022 Provable Subspace Identification Under Post-Nonlinear Mixtures NeurIPS 2022