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)

S3GC: Scalable Self-Supervised Graph Clustering NeurIPS 2022 S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces NeurIPS 2022 SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval WACV 2022 Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022 Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022 Safe Online Convex Optimization with Unknown Linear Safety Constraints AAAI 2022 Safe Opponent-Exploitation Subgame Refinement NeurIPS 2022 Safe Optimal Design with Applications in Off-Policy Learning AISTATS 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation CVPR 2022 Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data CVPR 2022 SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022 SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction NAACL 2022 SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues ACL 2022 SALTED: A Framework for SAlient Long-tail Translation Error Detection EMNLP 2022 Salvage of Supervision in Weakly Supervised Object Detection CVPR 2022 Same Author or Just Same Topic? Towards Content-Independent Style Representations ACL 2022 Same State, Different Task: Continual Reinforcement Learning without Interference AAAI 2022 Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks IJCAI 2022 Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022 Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022 Sample Constrained Treatment Effect Estimation NeurIPS 2022 Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games NeurIPS 2022 Sample Efficient Learning of Predictors that Complement Humans ICML 2022 Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information COLT 2022 Sample-Efficient Reinforcement Learning of Partially Observable Markov Games NeurIPS 2022