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)
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
AISTATS 2020
Regularization via Structural Label Smoothing
AISTATS 2020
Regularized Fine-Grained Meta Face Anti-Spoofing
AAAI 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020
Regularized Wasserstein Means for Aligning Distributional Data
AAAI 2020
Regularizing Class-Wise Predictions via Self-Knowledge Distillation
CVPR 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy
CVPR 2020
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
ICLR 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States
AAAI 2020
Reinforcement Learning with Augmented Data
NeurIPS 2020
Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation
EMNLP 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
NeurIPS 2020
RelatIF: Identifying Explanatory Training Samples via Relative Influence
AISTATS 2020
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification
Interspeech 2020
Relative and Incomplete Time Expression Anchoring for Clinical Text
EMNLP 2020
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
CVPR 2020
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
ICLR 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
NeurIPS 2020
Rényi Fair Inference
ICLR 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs
ACL 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
NeurIPS 2020
Residual Sum-Product Networks
PGM 2020
Resisting Large Data Variations via Introspective Transformation Network
WACV 2020
Resolution Adaptive Networks for Efficient Inference
CVPR 2020