Papers
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu, Mehmet F Demirel, Yingyu Liang
Adaptive Sequence Submodularity
Marko Mitrovic, Ehsan Kazemi, Moran Feldman et al.
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Young Hun Jung, Ambuj Tewari
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang et al.
Practical Two-Step Lookahead Bayesian Optimization
Jian Wu, Peter Frazier
Online sampling from log-concave distributions
Holden Lee, Oren Mangoubi, Nisheeth Vishnoi
Progressive Augmentation of GANs
Dan Zhang, Anna Khoreva
Stacked Capsule Autoencoders
Adam Kosiorek, Sara Sabour, Yee Whye Teh et al.
Topology-Preserving Deep Image Segmentation
Xiaoling Hu, Fuxin Li, Dimitris Samaras et al.
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng, Xiao Zhang, Faming Liang et al.
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
Robert Ness, Kaushal Paneri, Olga Vitek
Tree-Sliced Variants of Wasserstein Distances
Tam Le, Makoto Yamada, Kenji Fukumizu et al.
Sample Adaptive MCMC
Michael Zhu
Combinatorial Bayesian Optimization using the Graph Cartesian Product
Changyong Oh, Jakub Tomczak, Efstratios Gavves et al.
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Yiwen Guo, Ziang Yan, Changshui Zhang
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui, Haotao Wang, Haichuan Yang et al.
Are Sixteen Heads Really Better than One?
Paul Michel, Omer Levy, Graham Neubig
Implicit Posterior Variational Inference for Deep Gaussian Processes
Haibin YU, Yizhou Chen, Bryan Kian Hsiang Low et al.
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn, Sungmin Cha, Donggyu Lee et al.
Shaping Belief States with Generative Environment Models for RL
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse et al.
Interval timing in deep reinforcement learning agents
Ben Deverett, Ryan Faulkner, Meire Fortunato et al.
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara et al.
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Mitch Hill, Song-Chun Zhu et al.
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies
Seyed Kamyar Seyed Ghasemipour, Shixiang (Shane) Gu, Richard Zemel
Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, Leila Wehbe