Papers
Deep Transformation-Invariant Clustering
Tom Monnier, Thibault Groueix, Mathieu Aubry
Deep Transformers with Latent Depth
Xian Li, Asa Cooper Stickland, Yuqing Tang et al.
Deep Variational Instance Segmentation
Jialin Yuan, Chao Chen, Fuxin Li
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
Jiangxin Dong, Stefan Roth, Bernt Schiele
Delay and Cooperation in Nonstochastic Linear Bandits
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
Juhan Bae, Roger B Grosse
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
Yuxi Li, Ning Xu, Jinlong Peng et al.
Demixed shared component analysis of neural population data from multiple brain areas
Yu Takagi, Steven Kennerley, Jun-ichiro Hirayama et al.
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam, Abhinav Gupta
Demystifying Orthogonal Monte Carlo and Beyond
Han Lin, Haoxian Chen, Krzysztof M Choromanski et al.
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman, Mingjie Sun, Greg Yang et al.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay N. Jain, Pieter Abbeel
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
Xiangru Huang, Haitao Yang, Etienne Vouga et al.
Depth Uncertainty in Neural Networks
Javier Antoran, James Allingham, José Miguel Hernández-Lobato
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Alexander Levine, Soheil Feizi
Design Space for Graph Neural Networks
Jiaxuan You, Zhitao Ying, Jure Leskovec
Detecting Hands and Recognizing Physical Contact in the Wild
Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai Nguyen
Detecting Interactions from Neural Networks via Topological Analysis
Zirui Liu, Qingquan Song, Kaixiong Zhou et al.
Detection as Regression: Certified Object Detection with Median Smoothing
Ping-yeh Chiang, Michael Curry, Ahmed Abdelkader et al.
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
Kai Han, zongmai Cao, Shuang Cui et al.
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
Michael Cogswell, Jiasen Lu, Rishabh Jain et al.
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao, Zhijian Liu, Ji Lin et al.
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste et al.
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Differentiable Meta-Learning of Bandit Policies
Craig Boutilier, Chih-wei Hsu, Branislav Kveton et al.