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
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'25
Papers (including subtopics)
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
ICCV 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit
ACL 2021
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
AAAI 2021
Accelerating Neural Architecture Search via Proxy Data
IJCAI 2021
Accelerating Neural Machine Translation with Partial Word Embedding Compression
AAAI 2021
Accelerometer-Based Measurements of Voice Quality in Children During Semi-Occluded Vocal Tract Exercise with a Narrow Straw in Air
Interspeech 2021
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
ICML 2021
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
ICML 2021
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
AAAI 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
Accurately Solving Rod Dynamics with Graph Learning
NeurIPS 2021
Accurate Post Training Quantization With Small Calibration Sets
ICML 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
NeurIPS 2021
A Central Limit Theorem for Differentially Private Query Answering
NeurIPS 2021
AC-GC: Lossy Activation Compression with Guaranteed Convergence
NeurIPS 2021
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
JMLR 2021
Achieving Model Robustness through Discrete Adversarial Training
EMNLP 2021
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search
ICCV 2021
Achieving Proportionality up to the Maximin Item with Indivisible Goods
AAAI 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection
CVPR 2021
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition
Interspeech 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
AISTATS 2021
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.
EMNLP 2021
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices
AAAI 2021
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
IJCAI 2021