Papers
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
Qing Guo, Felix Juefei-Xu, Xiaofei Xie et al.
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning
Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano, Antonio Loquercio, Antoni Rosinol et al.
Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen, He Sun
Hardness of Learning Neural Networks with Natural Weights
Amit Daniely, Gal Vardi
A Combinatorial Perspective on Transfer Learning
Jianan Wang, Eren Sezener, David Budden et al.
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
Hao Zhang, Yuan Li, Zhijie Deng et al.
Better Set Representations For Relational Reasoning
Qian Huang, Horace He, Abhay Singh et al.
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen, Yu Gai, Zhewei Yao et al.
Convolutional Generation of Textured 3D Meshes
Dario Pavllo, Graham Spinks, Thomas Hofmann et al.
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding
Rishi Sonthalia, Anna Gilbert
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
Chaobing Song, Yong Jiang, Yi Ma
Learning Guidance Rewards with Trajectory-space Smoothing
Tanmay Gangwani, Yuan Zhou, Jian Peng
Towards Better Generalization of Adaptive Gradient Methods
Yingxue Zhou, Belhal Karimi, Jinxing Yu et al.
What went wrong and when? Instance-wise feature importance for time-series black-box models
Sana Tonekaboni, Shalmali Joshi, Kieran Campbell et al.
Adapting Neural Architectures Between Domains
Yanxi Li, Zhaohui Yang, Yunhe Wang et al.
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvari et al.
The route to chaos in routing games: When is price of anarchy too optimistic?
Thiparat Chotibut, Fryderyk Falniowski, Michał Misiurewicz et al.
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Jack Parker-Holder, Luke Metz, Cinjon Resnick et al.
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, Pieter Abbeel et al.
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti, Alex Beutel, Jilin Chen et al.
Robust compressed sensing using generative models
Ajil Jalal, Liu Liu, Alexandros G Dimakis et al.
Debugging Tests for Model Explanations
Julius Adebayo, Michael Muelly, Ilaria Liccardi et al.
Post-training Iterative Hierarchical Data Augmentation for Deep Networks
Adil Khan, Khadija Fraz