Papers
Data Selection for Language Models via Importance Resampling
Sang Michael Xie, Shibani Santurkar, Tengyu Ma et al.
Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
Quang Nguyen, Truong Vu, Anh Tran et al.
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Weijia Wu, Yuzhong Zhao, Hao Chen et al.
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
Jungtaek Kim, Mingxuan Li, Oliver Hinder et al.
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation
Rui Sun, Huayu Mai, Tianzhu Zhang et al.
D-CIPHER: Discovery of Closed-form Partial Differential Equations
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Ge Zheng, Bin Yang, Jiajin Tang et al.
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
Chenyangguang Zhang, Yan Di, Ruida Zhang et al.
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral et al.
Debiased and Denoised Entity Recognition from Distant Supervision
Haobo Wang, Yiwen Dong, Ruixuan Xiao et al.
Debiasing Conditional Stochastic Optimization
Lie He, Shiva P. Kasiviswanathan
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
Walter Gerych, Kevin Hickey, Luke Buquicchio et al.
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
Susung Hong, Donghoon Ahn, Seungryong Kim
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
Marie Maros, Gesualdo Scutari
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Mengfan Xu, Diego Klabjan
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang, Haomin Wen et al.
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad Harikandeh et al.
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
Siyan Zhao, Aditya Grover
Decision Tree for Locally Private Estimation with Public Data
Yuheng Ma, Han Zhang, Yuchao Cai et al.
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory
Ankur Sikarwar, Mengmi Zhang
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Boxin Wang, Weixin Chen, Hengzhi Pei et al.
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
Zikang Tian, Ruizhi Chen, Xing Hu et al.
Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery
Tingyu Weng, Jun Xiao, Haiyong Jiang
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
Gon Buzaglo, Niv Haim, Gilad Yehudai et al.
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild
Yanhui Guo, Xinxin Zuo, Peng Dai et al.