Europe
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Stepan Tulyakov, Anton Ivanov, François Fleuret
Neural Information Processing Systems http://nips.cc/
Hamiltonian descent for composite objectives
Brendan O'Donoghue, Chris J. Maddison
Neural Information Processing Systems http://nips.cc/
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
While many techniques for detecting these attacks have been proposed, theyareeasily bypassed when theadversary hasfullknowledge of the detection mechanism and adapts the attack strategy accordingly. In this paper,we adopt anovel perspectiveand regard the omnipresence of adversarial perturbations asastrength rather thanaweakness.
Equitable Stable Matchings in Quadratic Time
Nikolaos Tziavelis, Ioannis Giannakopoulos, Katerina Doka, Nectarios Koziris, Panagiotis Karras
A matching process on a two-sided market can determine who gets which job [40, 31], school place[44],orspouse.
Online Improper Learning with an Approximation Oracle
Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li
Neural Information Processing Systems http://nips.cc/
Online Normalization for Training Neural Networks
Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Koster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James
Neural Information Processing Systems http://nips.cc/
Quantum Embedding of Knowledge for Reasoning
Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam
Neural Information Processing Systems http://nips.cc/
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing
Neural Information Processing Systems http://nips.cc/