GaN dissection: Visualizing and understanding generative adversarial networks
- David Bau
- Jun Yan Zhu
- et al.
- 2019
- ICLR 2019
Publications
Learning to learn without forgetting by maximizing transfer and minimizing interference
- Matthew Riemer
- Ignacio Cases
- et al.
- 2019
- ICLR 2019
Big-little net: An efficient multi-scale feature representation for visual and speech recognition
- Chun Fu Chen
- Quanfu Fan
- et al.
- 2019
- ICLR 2019
On the universal approximability and complexity bounds of quantized Relu neural networks
- Yukun Ding
- Jinglan Liu
- et al.
- 2019
- ICLR 2019
On the convergence of a class of Adam-type algorithms for non-convex optimization
- Xiangyi Chen
- Sijia Liu
- et al.
- 2019
- ICLR 2019
Accumulation bit-width scaling for ultra-low precision training of deep networks
- Charbel Sakr
- Naigang Wang
- et al.
- 2019
- ICLR 2019
SignsGD via zeroth-order oracle
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2019
- ICLR 2019
Query-efficient hard-label black-box attack: An optimization-based approach
- Minhao Cheng
- Huan Zhang
- et al.
- 2019
- ICLR 2019
Learning embeddings into entropic Wasserstein spaces
- Charlie Frogner
- Justin Solomon
- et al.
- 2019
- ICLR 2019
Structured adversarial attack: Towards general implementation and better interpretability
- Kaidi Xu
- Sijia Liu
- et al.
- 2019
- ICLR 2019