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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
'5
'10
'15
'20
'25

Papers (including subtopics)

A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011 A concave regularization technique for sparse mixture models NeurIPS 2011 A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction IJCNLP 2011 Action-Gap Phenomenon in Reinforcement Learning NeurIPS 2011 Active Boosted Learning (ActBoost) AISTATS 2011 Active Classification based on Value of Classifier NeurIPS 2011 Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011 Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach AISTATS 2011 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NeurIPS 2011 Active Learning with a Drifting Distribution NeurIPS 2011 Active Ranking using Pairwise Comparisons NeurIPS 2011 Adaptive Density Level Set Clustering COLT 2011 Adaptive Hedge NeurIPS 2011 A Denoising View of Matrix Completion NeurIPS 2011 A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 Analysis and Improvement of Policy Gradient Estimation NeurIPS 2011