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)

Maximum Margin Multi-Instance Learning NeurIPS 2011 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011 Minimax Policies for Combinatorial Prediction Games COLT 2011 Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments COLT 2011 Missing Information Impediments to Learnability COLT 2011 Models of Cooperative Teaching and Learning JMLR 2011 Monotone multi-armed bandit allocations COLT 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 Multi-Bandit Best Arm Identification NeurIPS 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Multi-label Active Learning with Auxiliary Learner ACML 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Multiple Instance Filtering NeurIPS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011 Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Nonlinear Online Classification Algorithm with Probability Margin ACML 2011 On Learning Discrete Graphical Models using Greedy Methods NeurIPS 2011 Online Learning: Beyond Regret COLT 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011