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 with dynamics: A minimax perspective NeurIPS 2020 Online Learning with Vector Costs and Bandits with Knapsacks COLT 2020 Online Linear Optimization with Many Hints NeurIPS 2020 Online matrix factorization for Markovian data and applications to Network Dictionary Learning JMLR 2020 Online Metric Learning for Multi-Label Classification AAAI 2020 Online Multitask Learning with Long-Term Memory NeurIPS 2020 Online Non-Convex Optimization with Imperfect Feedback NeurIPS 2020 Online Parameter-Free Learning of Multiple Low Variance Tasks UAI 2020 Online Planner Selection with Graph Neural Networks and Adaptive Scheduling AAAI 2020 Online Planning with Lookahead Policies NeurIPS 2020 Online Positive and Unlabeled Learning IJCAI 2020 Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting AAAI 2020 Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression IJCAI 2020 Online Structured Meta-learning NeurIPS 2020 On Losses for Modern Language Models EMNLP 2020 On Lp-norm Robustness of Ensemble Decision Stumps and Trees ICML 2020 Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020 On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020 On Positive-Unlabeled Classification in GAN CVPR 2020 On Regret with Multiple Best Arms NeurIPS 2020 On Relativistic f-Divergences ICML 2020 On Romanization for Model Transfer Between Scripts in Neural Machine Translation EMNLP 2020 On Semi-Supervised LF-MMI Training of Acoustic Models with Limited Data Interspeech 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On Synthesis for Supervised Monaural Speech Separation in Time Domain Interspeech 2020