Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

5 Publications


2020 | Conference Paper | IST-REx-ID: 9632 | OA
S. P. Singh and D.-A. Alistarh, “WoodFisher: Efficient second-order approximation for neural network compression,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 18098–18109.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 9631 | OA
V. Aksenov, D.-A. Alistarh, and J. Korhonen, “Scalable belief propagation via relaxed scheduling,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 22361–22372.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 8188 | OA
P. M. Henderson and C. Lampert, “Unsupervised object-centric video generation and decomposition in 3D,” in 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 14326 | OA
F. Locatello et al., “Object-centric learning with slot attention,” in Advances in Neural Information Processing Systems, Virtual, 2020, vol. 33, pp. 11525–11538.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 15086 | OA
F. Faghri, I. Tabrizian, I. Markov, D.-A. Alistarh, D. Roy, and A. Ramezani-Kebrya, “Adaptive gradient quantization for data-parallel SGD,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33.
[Preprint] View | Download Preprint (ext.) | arXiv
 

Filters and Search Terms

isbn=9781713829546

Search

Filter Publications

Display / Sort

Citation Style: IEEE

Export / Embed