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

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135

136

147

149

220

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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)

Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 More Is Better: Large Scale Partially-supervised Sentiment Classification ACML 2012 Movement Segmentation and Recognition for Imitation Learning AISTATS 2012 Multi-armed Bandit Problems with History AISTATS 2012 Multi-Assignment Clustering for Boolean Data JMLR 2012 Multiclass Learning Approaches: A Theoretical Comparison with Implications NeurIPS 2012 Multiclass Learning with Simplex Coding NeurIPS 2012 Multi-Instance Learning with Any Hypothesis Class JMLR 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multi-label Subspace Ensemble AISTATS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 2012 Multi-Stage Classifier Design ACML 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Regression using Minimal Penalties JMLR 2012 Multi-task Vector Field Learning NeurIPS 2012 Multi-view Positive and Unlabeled Learning ACML 2012 Near-Optimal Algorithms for Online Matrix Prediction COLT 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012