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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
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2000
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Papers (including subtopics)

Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior AAAI 2020 Learning from Rules Generalizing Labeled Exemplars ICLR 2020 Learning from Suboptimal Demonstration via Self-Supervised Reward Regression CoRL 2020 Learning From Synthetic Animals CVPR 2020 Learning from Task Descriptions EMNLP 2020 Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning WACV 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation IJCAI 2020 Learning from Unlabelled Data for Clinical Semantic Textual Similarity EMNLP 2020 Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping ICLR 2020 Learning from Weak-Label Data: A Deep Forest Expedition AAAI 2020 Learning From Web Data With Self-Organizing Memory Module CVPR 2020 Learning Geo-Contextual Embeddings for Commuting Flow Prediction AAAI 2020 Learning Halfspaces with Massart Noise Under Structured Distributions COLT 2020 Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge COLING 2020 Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task Interspeech 2020 Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020 Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment CVPR 2020 Learning Implicit Text Generation via Feature Matching ACL 2020 Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback EMNLP 2020 Learning in situ: a randomized experiment in video streaming NSDI 2020 Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation CVPR 2020 Learning Interactions and Relationships Between Movie Characters CVPR 2020 Learning Interpretable Models in the Property Specification Language IJCAI 2020 Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020