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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26

18

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135

136

147

149

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316

526

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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)

Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Double Q-learning NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Efficient Reductions for Imitation Learning AISTATS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Empirical Bernstein Boosting AISTATS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010 Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Factorized Orthogonal Latent Spaces AISTATS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010