Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
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'25
Papers (including subtopics)
Transition-based Parsing with Stack-Transformers
EMNLP 2020
Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings
Interspeech 2020
TransQuest at WMT2020: Sentence-Level Direct Assessment
EMNLP 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
ICLR 2020
Truthful Data Acquisition via Peer Prediction
NeurIPS 2020
TueMix at SemEval-2020 Task 9: Logistic Regression with Linguistic Feature Set
SemEval 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
ICML 2020
Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures
EMNLP 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
ICML 2020
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
ACL 2020
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
EMNLP 2020
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging
NeurIPS 2020
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
WACV 2020
Ultrafast Photorealistic Style Transfer via Neural Architecture Search
AAAI 2020
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
AAAI 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
NeurIPS 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
CVPR 2020
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
AAAI 2020
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
EMNLP 2020
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech
Interspeech 2020
Unconditional Coresets for Regularized Loss Minimization
AISTATS 2020
Understanding Alzheimer disease’s structural connectivity through explainable AI
MIDL 2020
Understanding and Exploring the Network with Stochastic Architectures
NeurIPS 2020
Understanding and Improving Proximity Graph Based Maximum Inner Product Search
AAAI 2020
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
NeurIPS 2020