Skip to content
conftrace_

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)

Online Learning for Adversaries with Memory: Price of Past Mistakes NeurIPS 2015 Online Learning with Adversarial Delays NeurIPS 2015 Online Learning with Feedback Graphs: Beyond Bandits COLT 2015 Online Learning with Gaussian Payoffs and Side Observations NeurIPS 2015 Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds RSS 2015 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach NeurIPS 2015 Online Sketching Hashing CVPR 2015 Online Tensor Methods for Learning Latent Variable Models JMLR 2015 Online Time Series Prediction with Missing Data ICML 2015 On Semi-Supervised Linear Regression in Covariate Shift Problems JMLR 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 On-the-Job Learning with Bayesian Decision Theory NeurIPS 2015 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015 On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property ICML 2015 Ontological Supervision for Fine Grained Classification of Street View Storefronts CVPR 2015 On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NeurIPS 2015 Optimal and Adaptive Algorithms for Online Boosting ICML 2015 Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015 Optimally Combining Classifiers Using Unlabeled Data COLT 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs ICCV 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015 Ordinal Mixed Membership Models ICML 2015 Oriented Edge Forests for Boundary Detection CVPR 2015