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

1

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

'5

'10

'15

'20

'25

Papers (including subtopics)

Regret Bounds for Lifelong Learning AISTATS 2017 Regret Minimization in Behaviorally-Constrained Zero-Sum Games ICML 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017 Regularization and the small-ball method II: complexity dependent error rates JMLR 2017 Regularization techniques for fine-tuning in neural machine translation EMNLP 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Reinforcement Learning with a Corrupted Reward Channel IJCAI 2017 Reinforcement mechanism design IJCAI 2017 Relating Unsupervised Word Segmentation to Reported Vocabulary Acquisition Interspeech 2017 Repeated Inverse Reinforcement Learning NeurIPS 2017 Representing Sentences as Low-Rank Subspaces ACL 2017 Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method ICML 2017 Rescale-Invariant SVM for Binary Classification IJCAI 2017 Rescoring-Aware Beam Search for Reduced Search Errors in Contextual Automatic Speech Recognition Interspeech 2017 Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs CVPR 2017 Resilient Control and Safety for Multi-Agent Cyber-Physical Systems IJCAI 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017 Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces NeurIPS 2017 Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017 Robust Adversarial Reinforcement Learning ICML 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NeurIPS 2017 Robust Conditional Probabilities NeurIPS 2017 Robust Discriminative Clustering with Sparse Regularizers JMLR 2017 Robust Estimation of Neural Signals in Calcium Imaging NeurIPS 2017