Papers
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien Siems, Konstantin Ditschuneit, Winfried Ripken et al.
Customizable Image Synthesis with Multiple Subjects
Zhiheng Liu, Yifei Zhang, Yujun Shen et al.
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang et al.
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Sihan Xu, Ziqiao Ma, Yidong Huang et al.
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
Fenggen Yu, Qimin Chen, Maham Tanveer et al.
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
Jialin Chen, Shirley Wu, Abhijit Gupta et al.
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
Kushal Tirumala, Daniel Simig, Armen Aghajanyan et al.
DAC-DETR: Divide the Attention Layers and Conquer
Zhengdong Hu, Yifan Sun, Jingdong Wang et al.
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Yash Jain, Harkirat Behl, Zsolt Kira et al.
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
Jiuhn Song, Seonghoon Park, Honggyu An et al.
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
Qingkai Fang, Yan Zhou, Yang Feng
Data Augmentations for Improved (Large) Language Model Generalization
Amir Feder, Yoav Wald, Claudia Shi et al.
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Gang Liu, Eric Inae, Tong Zhao et al.
DataComp: In search of the next generation of multimodal datasets
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang et al.
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li
Data-Driven Network Neuroscience: On Data Collection and Benchmark
Jiaxing Xu, Yunhan Yang, David Huang et al.
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Data-Informed Geometric Space Selection
Shuai Zhang, Wenqi Jiang
Data Market Design through Deep Learning
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
Data Minimization at Inference Time
Cuong Tran, Ferdinando Fioretto
DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder, Colby Banbury, Xiaozhe Yao et al.
Data Portraits: Recording Foundation Model Training Data
Marc Marone, Benjamin Van Durme
Data Pruning via Moving-one-Sample-out
Haoru Tan, Sitong Wu, Fei Du et al.
Data Quality in Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Xiuye Gu, Yin Cui, Jonathan Huang et al.