conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Redactor: A Data-Centric and Individualized Defense against Inference Attacks AAAI 2023 ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection EMNLP 2023 REDFM: a Filtered and Multilingual Relation Extraction Dataset ACL 2023 ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection CVPR 2023 Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift WACV 2023 Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack AAAI 2023 RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension CVPR 2023 Referring Expression Comprehension Using Language Adaptive Inference AAAI 2023 Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions WACV 2023 REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling NeurIPS 2023 Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models ICML 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis CVPR 2023 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023 Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers CVPR 2023 Regularizing Neural Networks with Meta-Learning Generative Models NeurIPS 2023 Rehearsal-free Continual Language Learning via Efficient Parameter Isolation ACL 2023 Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification ACL 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023 Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories AAAI 2023 Reinforcement Learning for Solving Stochastic Vehicle Routing Problem ACML 2023 Reinforcement Learning from Passive Data via Latent Intentions ICML 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods Interspeech 2023 Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023 Relation-Aware Language-Graph Transformer for Question Answering AAAI 2023