Papers
Large Memory Layers with Product Keys
Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato et al.
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel et al.
Graph Transformer Networks
Seongjun Yun, Minbyul Jeong, Raehyun Kim et al.
Partially Encrypted Deep Learning using Functional Encryption
Théo Ryffel, David Pointcheval, Francis Bach et al.
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
Mejbah Alam, Justin Gottschlich, Nesime Tatbul et al.
Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt et al.
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto, Aurelien Lucchi
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Siqi Liu, Milos Hauskrecht
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger et al.
Input-Output Equivalence of Unitary and Contractive RNNs
Melikasadat Emami, Mojtaba Sahraee Ardakan, Sundeep Rangan et al.
Variational Structured Semantic Inference for Diverse Image Captioning
Fuhai Chen, Rongrong Ji, Jiayi Ji et al.
Bridging Machine Learning and Logical Reasoning by Abductive Learning
Wang-Zhou Dai, Qiuling Xu, Yang Yu et al.
Multiway clustering via tensor block models
Miaoyan Wang, Yuchen Zeng
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe, Marco Fraccaro, Valentin Liévin et al.
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Jiong Zhang, Hsiang-Fu Yu, Inderjit S Dhillon
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans, Daniel Moyer, Aram Galstyan et al.
Regret Bounds for Learning State Representations in Reinforcement Learning
Ronald Ortner, Matteo Pirotta, Alessandro Lazaric et al.
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya, Ardhendu Tripathy, Robert Nowak
A Graph Theoretic Additive Approximation of Optimal Transport
Nathaniel Lahn, Deepika Mulchandani, Sharath Raghvendra
A Condition Number for Joint Optimization of Cycle-Consistent Networks
Leonidas Guibas, Qixing Huang, Zhenxiao Liang
Importance Resampling for Off-policy Prediction
Matthew Schlegel, Wesley Chung, Daniel Graves et al.
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li, I Chien, Olgica Milenkovic
Limits of Private Learning with Access to Public Data
Noga Alon, Raef Bassily, Shay Moran
A neurally plausible model for online recognition and postdiction in a dynamical environment
Li Kevin Wenliang, Maneesh Sahani
Recovering Bandits
Ciara Pike-Burke, Steffen Grunewalder