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)
Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous?
Interspeech 2020
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
AAAI 2020
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
Interspeech 2020
Auxiliary Task Reweighting for Minimum-data Learning
NeurIPS 2020
AViD Dataset: Anonymized Videos from Diverse Countries
NeurIPS 2020
Avoiding Side Effects in Complex Environments
NeurIPS 2020
AxCell: Automatic Extraction of Results from Machine Learning Papers
EMNLP 2020
Back to the Future – Temporal Adaptation of Text Representations
AAAI 2020
Balanced Off-Policy Evaluation in General Action Spaces
AISTATS 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
ICML 2020
Balancing Cost and Benefit with Tied-Multi Transformers
ACL 2020
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
AAAI 2020
Balancing via Generation for Multi-Class Text Classification Improvement
EMNLP 2020
Bandpass Noise Generation and Augmentation for Unified ASR
Interspeech 2020
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
ICLR 2020
Batch-shaping for learning conditional channel gated networks
ICLR 2020
Bayesian Adversarial Human Motion Synthesis
CVPR 2020
Bayesian Bits: Unifying Quantization and Pruning
NeurIPS 2020
Bayesian Differential Privacy for Machine Learning
ICML 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
NeurIPS 2020
Bayesian Optimization for Iterative Learning
NeurIPS 2020
Bayesian Sparsification of Deep C-valued Networks
ICML 2020
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition
CVPR 2020
Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision
EMNLP 2020
BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image
CVPR 2020