Papers
Quadratic Video Interpolation
Xiangyu Xu, Li Siyao, Wenxiu Sun et al.
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze et al.
Locally Private Learning without Interaction Requires Separation
Amit Daniely, Vitaly Feldman
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
Data-driven Estimation of Sinusoid Frequencies
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
Program Synthesis and Semantic Parsing with Learned Code Idioms
Eui Chul Shin, Miltiadis Allamanis, Marc Brockschmidt et al.
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H Macke et al.
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao, Quanquan Gu
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Ofir Nachum, Yinlam Chow, Bo Dai et al.
A Primal Dual Formulation For Deep Learning With Constraints
Yatin Nandwani, Abhishek Pathak, Mausam et al.
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Xuesong Niu, Hu Han, Shiguang Shan et al.
Self-attention with Functional Time Representation Learning
Da Xu, Chuanwei Ruan, Evren Korpeoglu et al.
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
Karim Ahmed, Lorenzo Torresani
Provable Non-linear Inductive Matrix Completion
Kai Zhong, Zhao Song, Prateek Jain et al.
Robustness Verification of Tree-based Models
Hongge Chen, Huan Zhang, Si Si et al.
On Human-Aligned Risk Minimization
Liu Leqi, Adarsh Prasad, Pradeep K Ravikumar
KerGM: Kernelized Graph Matching
Zhen Zhang, Yijian Xiang, Lingfei Wu et al.
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks
Gunjan Verma, Ananthram Swami
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
Gecia Bravo Hermsdorff, Lee Gunderson
Towards closing the gap between the theory and practice of SVRG
Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi et al.
Bayesian Optimization with Unknown Search Space
Huong Ha, Santu Rana, Sunil Gupta et al.
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan, Mingde Zhao, Xiao-Wen Chang et al.
Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
Gaussian-Based Pooling for Convolutional Neural Networks
Takumi Kobayashi
Divergence-Augmented Policy Optimization
Qing Wang, Yingru Li, Jiechao Xiong et al.