LEARNED STEP SIZE QUANTIZATION
- Steven K. Esser
- Jeffrey L. McKinstry
- et al.
- 2020
- ICLR 2020
Conference paper
Publications
Generative Ratio Matching Networks
- Akash Srivastava
- Kai Xu
- et al.
- 2020
- ICLR 2020
Conference paperDBA: Distributed Backdoor Attacks against Federated Learning
- Chulin Xie
- Keli Huang
- et al.
- 2020
- ICLR 2020
Conference paperSoftware mitigation of crosstalk on noisy intermediate-scale quantum computers
- Prakash Murali
- David C. McKay
- et al.
- 2020
- ASPLOS 2020
Conference paperTranslucent answer predictions in multi-hop reading comprehension
- G. P. Shrivatsa Bhargav
- Michael R. Glass
- et al.
- 2020
- AAAI 2020
Conference paperReshaping Diverse Planning
- 2020
- AAAI 2020
Conference paperGeneralizable resource allocation in stream processing via deep reinforcement learning
- Xiang Ni
- Jing Li
- et al.
- 2020
- AAAI 2020
Conference paperTop-Quality Planning: Finding Practically Useful Sets of Best Plans
- 2020
- AAAI 2020
Conference paperCASTER: Predicting drug interactions with chemical substructure representation
- Kexin Huang
- Cao Xiao
- et al.
- 2020
- AAAI 2020
Conference paperEnd-to-end argumentation knowledge graph construction
- Khalid Al-Khatib
- Yufang Hou
- et al.
- 2020
- AAAI 2020
Conference paper