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)

USB: A Unified Summarization Benchmark Across Tasks and Domains EMNLP 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 User-Oriented Robust Reinforcement Learning AAAI 2023 USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network AAAI 2023 Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints ACL 2023 Using In-Context Learning to Improve Dialogue Safety EMNLP 2023 Using Interpretation Methods for Model Enhancement EMNLP 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023 Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning AAAI 2023 UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization ACL 2023 VA-learning as a more efficient alternative to Q-learning ICML 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions AAAI 2023 VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets ACL 2023 Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number EMNLP 2023 VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing EMNLP 2023 Very Fast, Approximate Counterfactual Explanations for Decision Forests AAAI 2023 Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection EMNLP 2023 Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition CVPR 2023 Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning CVPR 2023 VidChapters-7M: Video Chapters at Scale NeurIPS 2023 Video Action Segmentation via Contextually Refined Temporal Keypoints ICCV 2023 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements NeurIPS 2023 Video-Helpful Multimodal Machine Translation EMNLP 2023