Papers
A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett et al.
Multitask Spectral Learning of Weighted Automata
Guillaume Rabusseau, Borja Balle, Joelle Pineau
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
Dual Discriminator Generative Adversarial Nets
Tu Nguyen, Trung Le, Hung Vu et al.
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Yunbo Wang, Mingsheng Long, Jianmin Wang et al.
Fast-Slow Recurrent Neural Networks
Asier Mujika, Florian Meier, Angelika Steger
Robust Estimation of Neural Signals in Calcium Imaging
Hakan Inan, Murat A Erdogdu, Mark Schnitzer
Deep Subspace Clustering Networks
Pan Ji, Tong Zhang, Hongdong Li et al.
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
Wenbing Huang, Mehrtash Harandi, Tong Zhang et al.
Learning Chordal Markov Networks via Branch and Bound
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Learning Efficient Object Detection Models with Knowledge Distillation
Guobin Chen, Wongun Choi, Xiang Yu et al.
Minimal Exploration in Structured Stochastic Bandits
Richard Combes, Stefan Magureanu, Alexandre Proutiere
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
Sanjiban Choudhury, Shervin Javdani, Siddhartha Srinivasa et al.
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Yichong Xu, Hongyang Zhang, Kyle Miller et al.
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
Celestine Dünner, Thomas Parnell, Martin Jaggi
Is the Bellman residual a bad proxy?
Matthieu Geist, Bilal Piot, Olivier Pietquin
Collapsed variational Bayes for Markov jump processes
Boqian Zhang, Jiangwei Pan, Vinayak A Rao
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
Learning Graph Representations with Embedding Propagation
Alberto Garcia Duran, Mathias Niepert
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
Efficient and Flexible Inference for Stochastic Systems
Stefan Bauer, Nico S Gorbach, Djordje Miladinovic et al.
Bayesian Dyadic Trees and Histograms for Regression
Stéphanie van der Pas, Veronika Ročková
Convergence of Gradient EM on Multi-component Mixture of Gaussians
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng et al.