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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)

Multiple-Instance Learning from Distributions JMLR 2016 Multiple-Play Bandits in the Position-Based Model NeurIPS 2016 Multiplicative Multitask Feature Learning JMLR 2016 Multiplicative Representations for Unsupervised Semantic Role Induction ACL 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Multi-step learning and underlying structure in statistical models NeurIPS 2016 Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting Interspeech 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy MLHC 2016 Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests MLHC 2016 Multitask Principal Component Analysis ACML 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Multivariate Spearman's ρ for Aggregating Ranks Using Copulas JMLR 2016 Multi-view and multi-task training of RST discourse parsers COLING 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation COLING 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik COLING 2016 Near Optimal Behavior via Approximate State Abstraction ICML 2016 NetVLAD: CNN Architecture for Weakly Supervised Place Recognition CVPR 2016 Neural-based Noise Filtering from Word Embeddings COLING 2016 Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NeurIPS 2016 Neural Universal Discrete Denoiser NeurIPS 2016 Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics NeurIPS 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016