Papers
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera et al.
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
Ankit Goyal, Kaiyu Yang, Dawei Yang et al.
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang, Hongyang Li, Shan You et al.
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé et al.
BRP-NAS: Prediction-based NAS using GCNs
Lukasz Dudziak, Thomas Chau, Mohamed Abdelfattah et al.
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
Hicham Janati, Boris Muzellec, Gabriel Peyré et al.
Stable and expressive recurrent vision models
Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan et al.
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
Hanjun Dai, Rishabh Singh, Bo Dai et al.
Provably Efficient Neural GTD for Off-Policy Learning
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang et al.
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
Nathan Kallus, Masatoshi Uehara
On the Modularity of Hypernetworks
Tomer Galanti, Lior Wolf
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle, Lisa Schut, Robin Ru et al.
Can Graph Neural Networks Count Substructures?
Zhengdao Chen, Lei Chen, Soledad Villar et al.
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Julian Katz-Samuels, Lalit Jain, zohar karnin et al.
Deep Subspace Clustering with Data Augmentation
Mahdi Abavisani, Alireza Naghizadeh, Dimitris Metaxas et al.
Incorporating Pragmatic Reasoning Communication into Emergent Language
Yipeng Kang, Tonghan Wang, Gerard de Melo
Truncated Linear Regression in High Dimensions
Constantinos Daskalakis, Dhruv Rohatgi, Emmanouil Zampetakis
Model Selection in Contextual Stochastic Bandit Problems
Aldo Pacchiano, My Phan, Yasin Abbasi Yadkori et al.
Consistent Structural Relation Learning for Zero-Shot Segmentation
Peike Li, Yunchao Wei, Yi Yang
GPS-Net: Graph-based Photometric Stereo Network
Zhuokun Yao, Kun Li, Ying Fu et al.
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang, Jinyoung Park, Sunyoung Kwon et al.
Stochastic Optimization with Laggard Data Pipelines
Naman Agarwal, Rohan Anil, Tomer Koren et al.
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao et al.
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
Yikang Zhang, Jian Zhang, Zhao Zhong
An Unbiased Risk Estimator for Learning with Augmented Classes
Yu-Jie Zhang, Peng Zhao, Lanjihong Ma et al.