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)
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?
CVPR 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
ICML 2021
How to Save your Annotation Cost for Panoptic Segmentation?
AAAI 2021
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
EMNLP 2021
How to Train BERT with an Academic Budget
EMNLP 2021
How Well Do Self-Supervised Models Transfer?
CVPR 2021
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention
EMNLP 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
EMNLP 2021
HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers
CVPR 2021
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
NeurIPS 2021
Huawei AARC’s Submissions to the WMT21 Biomedical Translation Task: Domain Adaption from a Practical Perspective
EMNLP 2021
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
EACL 2021
Human Perception in Natural Language Generation
ACL 2021
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
ICLR 2021
HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task
EMNLP 2021
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping
MIDL 2021
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model
JMLR 2021
Hyperbolic Procrustes Analysis Using Riemannian Geometry
NeurIPS 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
NAACL 2021
Hyperparameter Optimization via Sequential Uniform Designs
JMLR 2021
Hyperparameter Power Impact in Transformer Language Model Training
EMNLP 2021
HypMix: Hyperbolic Interpolative Data Augmentation
EMNLP 2021
Hypothesis Disparity Regularized Mutual Information Maximization
AAAI 2021
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
CVPR 2021
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction
SemEval 2021