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
'15
'20
'25
Papers (including subtopics)
AugMax: Adversarial Composition of Random Augmentations for Robust Training
NeurIPS 2021
Augmentation Strategies for Learning With Noisy Labels
CVPR 2021
Augmented Experiment in Material Engineering Using Machine Learning
AAAI 2021
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
NAACL 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space
ACML 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
ICLR 2021
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
Interspeech 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
ACL 2021
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
EMNLP 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability
NeurIPS 2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
ICML 2021
A Unified Speaker Adaptation Approach for ASR
EMNLP 2021
AutoAttend: Automated Attention Representation Search
ICML 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data
NeurIPS 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
CVPR 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AAAI 2021
Auto-Exposure Fusion for Single-Image Shadow Removal
CVPR 2021
AutoFlow: Learning a Better Training Set for Optical Flow
CVPR 2021
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
AAAI 2021
Automated Cross-prompt Scoring of Essay Traits
AAAI 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
CVPR 2021
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
AAAI 2021
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit
Interspeech 2021
Automatic Construction of Enterprise Knowledge Base
EMNLP 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning
NeurIPS 2021