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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
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2000
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Papers (including subtopics)

Progressive Domain Adaptation for Object Detection WACV 2020 Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2020 Progressive Identification of True Labels for Partial-Label Learning ICML 2020 Progressive Memory Banks for Incremental Domain Adaptation ICLR 2020 Progressive Relation Learning for Group Activity Recognition CVPR 2020 Projection & Probability-Driven Black-Box Attack CVPR 2020 Projective Quadratic Regression for Online Learning AAAI 2020 Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning Interspeech 2020 Proper Network Interpretability Helps Adversarial Robustness in Classification ICML 2020 Prophet Attention: Predicting Attention with Future Attention NeurIPS 2020 Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NeurIPS 2020 Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020 Provable robustness against all adversarial l_p-perturbations for p≥ 1 ICLR 2020 Provably Consistent Partial-Label Learning NeurIPS 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning NeurIPS 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 Provably Robust Metric Learning NeurIPS 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020 Proxy Anchor Loss for Deep Metric Learning CVPR 2020 PsuedoProp at SemEval-2020 Task 11: Propaganda Span Detection Using BERT-CRF and Ensemble Sentence Level Classifier SemEval 2020 PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation AAAI 2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020 Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020