Papers
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte, Pascal Germain, Benjamin Guedj et al.
Diffeomorphic Temporal Alignment Nets
Ron A Shapira Weber, Matan Eyal, Nicki Skafte et al.
Differentiable Cloth Simulation for Inverse Problems
Junbang Liang, Ming Lin, Vladlen Koltun
Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt et al.
Differentiable Ranking and Sorting using Optimal Transport
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Gautam Kamath, Or Sheffet, Vikrant Singhal et al.
Differentially Private Anonymized Histograms
Ananda Theertha Suresh
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
James Jordon, Jinsung Yoon, Mihaela van der Schaar
Differentially Private Bayesian Linear Regression
Garrett Bernstein, Daniel R. Sheldon
Differentially Private Covariance Estimation
Kareem Amin, Travis Dick, Alex Kulesza et al.
Differentially Private Distributed Data Summarization under Covariate Shift
Kanthi Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu et al.
Differentially Private Markov Chain Monte Carlo
Mikko Heikkilä, Joonas Jälkö, Onur Dikmen et al.
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan, Omid Poursaeed, Vitaly Shmatikov
Diffusion Improves Graph Learning
Johannes Gasteiger, Stefan Weißenberger, Stephan Günnemann
Dimensionality reduction: theoretical perspective on practical measures
Yair Bartal, Nova Fandina, Ofer Neiman
Dimension-Free Bounds for Low-Precision Training
Zheng Li, Christopher M De Sa
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Rixon Crane, Fred Roosta
Direct Estimation of Differential Functional Graphical Models
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder
Guy Lorberbom, Andreea Gane, Tommi Jaakkola et al.
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah, Matteo Hessel, Zhongwen Xu et al.
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran, Keyon Vafa, Kumar Agrawal et al.
Discrete Object Generation with Reversible Inductive Construction
Ari Seff, Wenda Zhou, Farhan Damani et al.
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
Faidra Georgia Monachou, Itai Ashlagi
Discriminative Topic Modeling with Logistic LDA
Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak et al.