LEARNED STEP SIZE QUANTIZATION
- Steven K. Esser
- Jeffrey L. McKinstry
- et al.
- 2020
- ICLR 2020
Publications
Date
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22 results at ICLR 2020
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
- Yu Chen
- Lingfei Wu
- et al.
- 2020
- ICLR 2020
Few-shot Text Classification With Distributional Signatures
- Yujia Bao
- Menghua Wu
- et al.
- 2020
- ICLR 2020
Generative Ratio Matching Networks
- Akash Srivastava
- Kai Xu
- et al.
- 2020
- ICLR 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
- Mingrui Liu
- Youssef Mroueh
- et al.
- 2020
- ICLR 2020
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks
- Chungkuk Yoo
- Bumsoo Kang
- et al.
- 2020
- ICLR 2020
Training individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
Federated Learning with Matched Averaging
- Hongyi Wang
- Mikhail Yurochkin
- et al.
- 2020
- ICLR 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
- Minhao Cheng
- Simranjit Singh
- et al.
- 2020
- ICLR 2020
Once for All: Train One Network and Specialize it for Efficient Deployment
- Han Cai
- Chuang Gan
- et al.
- 2020
- ICLR 2020