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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Learning Latent Representations for Speech Generation and Transformation Interspeech 2017 Learning Latest Classifiers without Additional Labeled Data IJCAI 2017 Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017 Learning Mixture of Gaussians with Streaming Data NeurIPS 2017 Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017 Learning multiple visual domains with residual adapters NeurIPS 2017 Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017 Learning Object Interactions and Descriptions for Semantic Image Segmentation CVPR 2017 Learning Partially Contracting Dynamical Systems from Demonstrations CoRL 2017 Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation CVPR 2017 Learning RBM with a DC programming Approach ACML 2017 Learning Robotic Manipulation of Granular Media CoRL 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture ICML 2017 Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification CVPR 2017 Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models CoRL 2017 Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ACL 2017 Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NeurIPS 2017 Learning the Multilinear Structure of Visual Data CVPR 2017 Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network JMLR 2017 Learning the Structure of Generative Models without Labeled Data ICML 2017 Learning Time Series Detection Models from Temporally Imprecise Labels AISTATS 2017 Learning to Aggregate Ordinal Labels by Maximizing Separating Width ICML 2017 Learning to Detect Salient Objects With Image-Level Supervision CVPR 2017 Learning to Discover Cross-Domain Relations with Generative Adversarial Networks ICML 2017