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

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8

12

26

18

20

135

136

147

149

220

231

316

526

460

477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,019

2000

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Papers (including subtopics)

Measuring Invariances in Deep Networks NeurIPS 2009 Modeling the spacing effect in sequential category learning NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Nash Equilibria of Static Prediction Games NeurIPS 2009 Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions JMLR 2009 Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NeurIPS 2009 No evidence for active sparsification in the visual cortex NeurIPS 2009 Noisy Generalized Binary Search NeurIPS 2009 Nonlinear directed acyclic structure learning with weakly additive noise models NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 On Efficient Large Margin Semisupervised Learning: Method and Theory JMLR 2009 On Learning Rotations NeurIPS 2009 Online Learning of Assignments NeurIPS 2009 On Stochastic and Worst-case Models for Investing NeurIPS 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009