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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ACL 2021 Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021 Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021 Possibilistic preference elicitation by minimax regret UAI 2021 Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 2021 Posterior Meta-Replay for Continual Learning NeurIPS 2021 Post-Hoc Uncertainty Calibration for Domain Drift Scenarios CVPR 2021 Power in Liquid Democracy AAAI 2021 Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021 Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021 Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NeurIPS 2021 Practical Relative Order Attack in Deep Ranking ICCV 2021 Pragmatic Image Compression for Human-in-the-Loop Decision-Making NeurIPS 2021 Precision-based Boosting AAAI 2021 PreDet: Large-Scale Weakly Supervised Pre-Training for Detection ICCV 2021 Predicting Classification Accuracy When Adding New Unobserved Classes ICLR 2021 Predicting Deep Neural Network Generalization with Perturbation Response Curves NeurIPS 2021 Predicting Human Scanpaths in Visual Question Answering CVPR 2021 Predicting Mining Industry Accidents with a Multitask Learning Approach AAAI 2021 Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models CoNLL 2021 Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning AAAI 2021 Predicting What You Already Know Helps: Provable Self-Supervised Learning NeurIPS 2021 Predicting With Confidence on Unseen Distributions ICCV 2021 Prediction against a limited adversary JMLR 2021