Papers
Approximate Cross-Validation for Structured Models
Soumya Ghosh, Will Stephenson, Tin D Nguyen et al.
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun, Rameswar Panda, Rogerio Feris et al.
Sliding Window Algorithms for k-Clustering Problems
Michele Borassi, Alessandro Epasto, Silvio Lattanzi et al.
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs
Agniva Chowdhury, Palma London, Haim Avron et al.
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou et al.
Adaptive Probing Policies for Shortest Path Routing
Aditya Bhaskara, Sreenivas Gollapudi, Kostas Kollias et al.
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
Rasool Fakoor, Jonas W Mueller, Nick Erickson et al.
Characterizing emergent representations in a space of candidate learning rules for deep networks
Yinan Cao, Christopher Summerfield, Andrew Saxe
Baxter Permutation Process
Masahiro Nakano, Akisato Kimura, Takeshi Yamada et al.
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Qian Lou, Song Bian, Lei Jiang
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber, Charles A. Sutton, Hugo Larochelle et al.
Spin-Weighted Spherical CNNs
Carlos Esteves, Ameesh Makadia, Kostas Daniilidis
Curriculum Learning by Dynamic Instance Hardness
Tianyi Zhou, Shengjie Wang, Jeffrey Bilmes
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang et al.
Factor Graph Neural Networks
Zhen Zhang, Fan Wu, Wee Sun Lee
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
Sanghack Lee, Elias Bareinboim
Bad Global Minima Exist and SGD Can Reach Them
Shengchao Liu, Dimitris Papailiopoulos, Dimitris Achlioptas
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
Henry Charlesworth, Giovanni Montana
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Shibo Li, Wei Xing, Robert Kirby et al.
Offline Imitation Learning with a Misspecified Simulator
Shengyi Jiang, Jingcheng Pang, Yang Yu
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
Jakob Lindinger, David Reeb, Christoph Lippert et al.
Targeted Adversarial Perturbations for Monocular Depth Prediction
Alex Wong, Safa Cicek, Stefano Soatto
Zero-Resource Knowledge-Grounded Dialogue Generation
Linxiao Li, Can Xu, Wei Wu et al.
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri et al.