Papers
Differentially Private Heatmaps
Badih Ghazi, Junfeng He, Kai Kohlhoff et al.
Differentially Private Learning with Per-Sample Adaptive Clipping
Tianyu Xia, Shuheng Shen, Su Yao et al.
Differentially Private Nonlinear Causal Discovery from Numerical Data
Hao Zhang, Yewei Xia, Yixin Ren et al.
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations
Fang Wu, Stan Z. Li
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences
Aosong Feng, Irene Li, Yuang Jiang et al.
Diffusing Gaussian Mixtures for Generating Categorical Data
Florence Regol, Mark Coates
Diffusion Models Beat GANs on Topology Optimization
François Mazé, Faez Ahmed
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
Zhimeng Zhang, Zhipeng Hu, Wenjin Deng et al.
Directed Acyclic Graph Structure Learning from Dynamic Graphs
Shaohua Fan, Shuyang Zhang, Xiao Wang et al.
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
Hao Zhou, Shaoming Li, Guibin Jiang et al.
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation
Zhongyi Han, Zhiyan Zhang, Fan Wang et al.
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective
Jiangmeng Li, Yanan Zhang, Wenwen Qiang et al.
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation
Linlin Wang, Zefeng Cai, Gerard de Melo et al.
Disentangled Representation for Causal Mediation Analysis
Ziqi Xu, Debo Cheng, Jiuyong Li et al.
Disentangling Reafferent Effects by Doing Nothing
Benedict Wilkins, Kostas Stathis
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)
Zhuo Deng, Yibing Wei, Mingye Zhu et al.
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
Jonathan Rosenthal, Eric Enouen, Hung Viet Pham et al.
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
Wei Fan, Pengyang Wang, Dongkun Wang et al.
DISPUTool 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Political Debates
Pierpaolo Goffredo, Elena Cabrio, Serena Villata et al.
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble
Xiaoye Qu, Jun Zeng, Daizong Liu et al.
Distributed Projection-Free Online Learning for Smooth and Convex Losses
Yibo Wang, Yuanyu Wan, Shimao Zhang et al.
Distributed Spectrum-Based Fault Localization
Avraham Natan, Roni Stern, Meir Kalech
Distributionally Robust Optimization with Probabilistic Group
Soumya Suvra Ghosal, Yixuan Li
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
Jungwook Shin, Jaeill Kim, Kyungeun Lee et al.