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)

UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions AAAI 2020 UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree NeurIPS 2020 UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation CVPR 2020 UDapter: Language Adaptation for Truly Universal Dependency Parsing EMNLP 2020 UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging NeurIPS 2020 UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa EMNLP 2020 UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network EMNLP 2020 Ultrafast Video Attention Prediction with Coupled Knowledge Distillation AAAI 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020 Uncertainty and Traffic-Aware Active Learning for Semantic Parsing EMNLP 2020 Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020 Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020 Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020 Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction CVPR 2020 Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification AAAI 2020 Uncertainty-Aware Score Distribution Learning for Action Quality Assessment CVPR 2020 Uncertainty-Aware Semantic Augmentation for Neural Machine Translation EMNLP 2020 Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020 Undersensitivity in Neural Reading Comprehension EMNLP 2020 Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations CVPR 2020 Understanding and Improving Fast Adversarial Training NeurIPS 2020 Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020 Understanding Architectures Learnt by Cell-based Neural Architecture Search ICLR 2020 Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020 Understanding Human Hands in Contact at Internet Scale CVPR 2020