Papers
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa, David Bellamy, Tom Kolokotrones et al.
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu, Lin Liu, Zhonghua Liu
Deep Model Reassembly
Xingyi Yang, Daquan Zhou, Songhua Liu et al.
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas et al.
Deep Surrogate Assisted Generation of Environments
Varun Bhatt, Bryon Tjanaka, Matthew Fontaine et al.
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs
Khaled Nakhleh, I-Hong Hou
Defending Against Adversarial Attacks via Neural Dynamic System
Xiyuan Li, Zou Xin, Weiwei Liu
Defining and Characterizing Reward Gaming
Joar Skalse, Nikolaus Howe, Dmitrii Krasheninnikov et al.
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
Yuanhao Cai, Jing Lin, Haoqian Wang et al.
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Lin Chen, Zhixiang Wei, Xin Jin et al.
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu et al.
Delving into Sequential Patches for Deepfake Detection
Jiazhi Guan, Hang Zhou, Zhibin Hong et al.
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon et al.
DENSE: Data-Free One-Shot Federated Learning
Jie Zhang, Chen Chen, Bo Li et al.
Dense Interspecies Face Embedding
Sejong Yang, Subin Jeon, Seonghyeon Nam et al.
Density-driven Regularization for Out-of-distribution Detection
Wenjian Huang, Hao Wang, Jiahao Xia et al.
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou
(De-)Randomized Smoothing for Decision Stump Ensembles
Miklós Horváth, Mark Müller, Marc Fischer et al.
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
Hongjoon Ahn, Yongyi Yang, Quan Gan et al.
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Lewei Yao, Jianhua Han, Youpeng Wen et al.
Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li, Alessandro Rinaldo, Daren Wang
Detection and Localization of Changes in Conditional Distributions
Lizhen Nie, Dan Nicolae
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Richard Grumitt, Biwei Dai, Uros Seljak
DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes
Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo et al.
DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes
Jia-Wei Liu, Yan-Pei Cao, Weijia Mao et al.