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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)

Adaptation of Neural Networks Constrained by Prior Statistics of Node Co-Activations Interspeech 2016 Adaptive Algorithms for Online Convex Optimization with Long-term Constraints ICML 2016 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking CVPR 2016 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint NeurIPS 2016 Adaptive optimal training of animal behavior NeurIPS 2016 A Deep Learning Approach to Modeling Empathy in Addiction Counseling Interspeech 2016 A Deep Learning Approach to Unsupervised Ensemble Learning ICML 2016 A Differential Approach to Causality in Staged Trees PGM 2016 A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement Interspeech 2016 Adversarial Multiclass Classification: A Risk Minimization Perspective NeurIPS 2016 Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition Interspeech 2016 A Fast and Reliable Policy Improvement Algorithm AISTATS 2016 A Feature Study for Masking-Based Reverberant Speech Separation Interspeech 2016 A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016 Aggregation of supports along the Lasso path COLT 2016 A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu COLING 2016 A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016 A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets COLING 2016 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 “All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter COLING 2016 Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations CVPR 2016 A Multi-Level Contextual Model For Person Recognition in Photo Albums CVPR 2016 Analysis of Mismatched Transcriptions Generated by Humans and Machines for Under-Resourced Languages Interspeech 2016