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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)

Online Stochastic Linear Optimization under One-bit Feedback ICML 2016 On Regularizing Rademacher Observation Losses NeurIPS 2016 On the capacity of information processing systems COLT 2016 On the Impact of Seed Words on Sentiment Polarity Lexicon Induction COLING 2016 On the Influence of Momentum Acceleration on Online Learning JMLR 2016 On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models Interspeech 2016 On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016 Optimal Binary Classifier Aggregation for General Losses NeurIPS 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Optimistic Bandit Convex Optimization NeurIPS 2016 Optimistic Gittins Indices NeurIPS 2016 Optimizing Speech Recognition Evaluation Using Stratified Sampling Interspeech 2016 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016 PAC learning of Probabilistic Automaton based on the Method of Moments ICML 2016 PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem ICML 2016 Pairwise Decomposition of Image Sequences for Active Multi-View Recognition CVPR 2016 Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach JMLR 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Personalizing Human Video Pose Estimation CVPR 2016 Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision NeurIPS 2016 Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games NeurIPS 2016 Phonetic Context Embeddings for DNN-HMM Phone Recognition Interspeech 2016 Planning for Autonomous Cars that Leverage Effects on Human Actions RSS 2016 Pliable Rejection Sampling ICML 2016 Political News Sentiment Analysis for Under-resourced Languages COLING 2016