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Poster
Fri 16:30 SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong · Junwen Yao · Jonas Mueller · Jane-Ling Wang
Poster
Fri 11:00 Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu · Ling Yang · Jun-Hai Yong · Hongzhi Yin · Jiawei Jiang · Meng Xiao · Wentao Zhang · Bin Wang
Poster
Thu 11:00 Data curation via joint example selection further accelerates multimodal learning
Talfan Evans · Nikhil Parthasarathy · Hamza Merzic · Olivier Henaff
Poster
Thu 16:30 Depth Anything V2
Lihe Yang · Bingyi Kang · Zilong Huang · Zhen Zhao · Xiaogang Xu · Jiashi Feng · Hengshuang Zhao
Poster
Fri 11:00 Deep Submodular Peripteral Networks
Gantavya Bhatt · Arnav Das · Jeff A Bilmes
Workshop
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching
Nabeel Seedat · Mihaela van der Schaar
Poster
Fri 11:00 Boundary Matters: A Bi-Level Active Finetuning Method
Han Lu · Yichen Xie · Xiaokang Yang · Junchi Yan
Poster
Thu 11:00 Elucidating the Design Space of Dataset Condensation
Shitong Shao · Zikai Zhou · Huanran Chen · Zhiqiang Shen
Poster
Wed 11:00 Make Your LLM Fully Utilize the Context
Shengnan An · Zexiong Ma · Zeqi Lin · Nanning Zheng · Jian-Guang Lou · Weizhu Chen
Poster
Fri 16:30 Understanding Bias in Large-Scale Visual Datasets
Boya Zeng · Yida Yin · Zhuang Liu
Poster
Wed 11:00 Data Acquisition via Experimental Design for Data Markets
Charles Lu · Baihe Huang · Sai Praneeth Karimireddy · Praneeth Vepakomma · Michael Jordan · Ramesh Raskar
Poster
Wed 11:00 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Vishaal Udandarao · Ameya Prabhu · Adhiraj Ghosh · Yash Sharma · Philip Torr · Adel Bibi · Samuel Albanie · Matthias Bethge