Papers
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen, Tiancong Chen, Haoran Sun et al.
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park et al.
Distributionally Robust Federated Averaging
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
Distributionally Robust Local Non-parametric Conditional Estimation
Viet Anh Nguyen, Fan Zhang, Jose Blanchet et al.
Distributionally Robust Parametric Maximum Likelihood Estimation
Viet Anh Nguyen, Xuhui Zhang, Jose Blanchet et al.
Distribution-free binary classification: prediction sets, confidence intervals and calibration
Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas
Distribution Matching for Crowd Counting
Boyu Wang, Huidong Liu, Dimitris Samaras et al.
Diverse Image Captioning with Context-Object Split Latent Spaces
Shweta Mahajan, Stefan Roth
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
Yusuke Tashiro, Yang Song, Stefano Ermon
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
Mina Konakovic Lukovic, Yunsheng Tian, Wojciech Matusik
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman, Andrew Ilyas, Logan Engstrom et al.
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan, Yu Zheng, Wei Ao et al.
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang, Mingming Gong, Petar Stojanov et al.
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang et al.
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, Yufei Wang, Renjie Wan et al.
Domain Generalization via Entropy Regularization
Shanshan Zhao, Mingming Gong, Tongliang Liu et al.
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
Nathan Kallus, Masatoshi Uehara
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Dual Instrumental Variable Regression
Krikamol Muandet, Arash Mehrjou, Si Kai Lee et al.
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
Zhanqiu Zhang, Jianyu Cai, Jie Wang
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin, Chun Pong Lau, Alexander Levine et al.
Dual-Resolution Correspondence Networks
Xinghui Li, Kai Han, Shuda Li et al.
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Yu Yao, Tongliang Liu, Bo Han et al.