Asia
Explanations can be manipulated and geometry is to blame
Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel
This allows us to derive an upper bound on the susceptibility of explanations to manipulations.
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang
Model-free deepreinforcement learning (RL)algorithms havebeenwidely used for a range of complex control tasks.
Provably Powerful Graph Networks
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky, Yaron Lipman
Graphs are an important data modality which is frequently used in many fields of science and engineering.
Bilinear Attention Networks
Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang
A man in a denim shirt and pants is smoking a cigarette while playing a cello for money.(c)
An Efficient Pruning Algorithm for Robust Isotonic Regression
Neural Information Processing Systems http://nips.cc/
MinimumSteinDiscrepancyEstimators
Examples of such models arise naturally in modelling images [27, 39], natural language [54], Markov random fields [61] and nonparametric density estimation [63, 69].
Supplementary Material for XAGen: 3D Expressive Human Avatars Generation 1 Appendix
Table 2d summarizes the effect of hand pose condition in discriminator.