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

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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)

Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011 Committing Bandits NeurIPS 2011 Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NeurIPS 2011 Competitive Closeness Testing COLT 2011 Composite Multiclass Losses NeurIPS 2011 Confidence Sets for Network Structure NeurIPS 2011 Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection AISTATS 2011 Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011 Contextual Bandits with Linear Payoff Functions AISTATS 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Co-regularized Multi-view Spectral Clustering NeurIPS 2011 Co-Training for Domain Adaptation NeurIPS 2011 Crowdclustering NeurIPS 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Sparse Rectifier Neural Networks AISTATS 2011 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011 Domain Adaptation with Coupled Subspaces AISTATS 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011 Dynamic Policy Programming with Function Approximation AISTATS 2011 Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NeurIPS 2011 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011