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)
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment
COLING 2020
On Efficient Constructions of Checkpoints
ICML 2020
One-Shot Domain Adaptation for Face Generation
CVPR 2020
On Front-End Gain Invariant Modeling for Wake Word Spotting
Interspeech 2020
On Identifying Hashtags in Disaster Twitter Data
AAAI 2020
Online Blind Reverberation Time Estimation Using CRNNs
Interspeech 2020
Online Data Poisoning Attacks
L4DC 2020
Online Decision Based Visual Tracking via Reinforcement Learning
NeurIPS 2020
Online Depth Learning Against Forgetting in Monocular Videos
CVPR 2020
Online Domain Adaptation for Occupancy Mapping
RSS 2020
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification
CVPR 2020
Online Knowledge Distillation via Collaborative Learning
CVPR 2020
Online Knowledge Distillation with Diverse Peers
AAAI 2020
Online Learned Continual Compression with Adaptive Quantization Modules
ICML 2020
Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit
IJCAI 2020
On Log-Loss Scores and (No) Privacy
EMNLP 2020
On Measuring and Mitigating Biased Inferences of Word Embeddings
AAAI 2020
On Second-Order Group Influence Functions for Black-Box Predictions
ICML 2020
On the diminishing return of labeling clinical reports
EMNLP 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020
On The Evaluation of Machine Translation Systems Trained With Back-Translation
ACL 2020
On the Generalization Effects of Linear Transformations in Data Augmentation
ICML 2020
On the importance of pre-training data volume for compact language models
EMNLP 2020
On the Inference Calibration of Neural Machine Translation
ACL 2020
On the limits of cross-domain generalization in automated X-ray prediction
MIDL 2020