Nips 2017 Infogail

The supplementary video for our

NIPS 2017

Tutorial Deep Learning: Practice and Trends. Nando de Freitas, Scott Reed, Oriol Vinyals. 0:02:06 Part I: Practice. The Deep ...

Maja R. Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei link to the paper: https://arxiv.org/abs/1709.10367 code is on ...

The NNAISENSE team will present details of the winning approach at the Neural Information Processing Systems (

AttentiveChrome is a unified architecture to model and to interpret dependencies among chromatin factors for controlling gene ...

This is a 3-minute video for the paper "Discovering Potential Correlations via Hypercontractivity" (

A very brief introduction for "Deep Hyperspherical Learning". Full paper: https://arxiv.org/abs/1711.03189 Code: ...

Speakers in order from left to right: Suchi Saria, Zack Lipton, Hanna Wallach, Bolei Zhou, and Kiri Wagstaff. Moderated by Rich ...

NIPS 2017

Originally posted on https://

NIPS 2017 --- Reliable Decision Support using Counterfactual Models Spotlight

https://arxiv.org/abs/1712.04120.

We're hosting a human-computer question answering competition at

Video for the paper "Self-Supervised Intrinsic Image Decomposition" by Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker ...

Paper: https://arxiv.org/abs/1603.00389 Code: https://github.com/misokg/NIPS2017 This is a short presentation of the paper ...

NIPS 2018: Unsupervised Learning of View-invariant Action Representations

Presentation Video for

Learning Semantics Workshop at

новый результат с улучшенной моделью.