Papers
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros, Gesualdo Scutari
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
Xuanwen Huang, Yang Yang, Yang Wang et al.
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee, Jigang Kim, Inkyu Jang et al.
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff, Natalie Harris, Sanmi Koyejo et al.
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta, Albert Gu, Jonathan Berant
Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech
Ziyue Jiang, Zhe Su, Zhou Zhao et al.
Differentiable Analog Quantum Computing for Optimization and Control
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao et al.
Differentiable hierarchical and surrogate gradient search for spiking neural networks
Kaiwei Che, Luziwei Leng, Kaixuan Zhang et al.
Differentially Private Covariance Revisited
Wei Dong, Yuting Liang, Ke Yi
Differentially Private Generalized Linear Models Revisited
Raman Arora, Raef Bassily, Cristóbal Guzmán et al.
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi et al.
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
Jiayuan Ye, Reza Shokri
Differentially Private Learning with Margin Guarantees
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
Differentially Private Linear Sketches: Efficient Implementations and Applications
Fuheng Zhao, Dan Qiao, Rachel Redberg et al.
Differentially Private Model Compression
FatemehSadat Mireshghallah, Arturs Backurs, Huseyin A. Inan et al.
Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang, Hoang Tran, Ashok Cutkosky
Diffusion-based Molecule Generation with Informative Prior Bridges
Lemeng Wu, Chengyue Gong, Xingchao Liu et al.
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina et al.
Diffusion-LM Improves Controllable Text Generation
Xiang Li, John Thickstun, Ishaan Gulrajani et al.
Diffusion Models as Plug-and-Play Priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic et al.
Diffusion Visual Counterfactual Explanations
Maximilian Augustin, Valentyn Boreiko, Francesco Croce et al.
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang, Ruoyu Sun, Alex Schwing
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu, Zhiqing Sun, Yiming Yang
Direct Advantage Estimation
Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz et al.
DiSC: Differential Spectral Clustering of Features
Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe