Poster "large-scale datasets" Papers
16 papers found
Conference
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu, Kaiming He
ICLR 2025arXiv:2403.08632
53
citations
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin et al.
CVPR 2025arXiv:2411.19946
11
citations
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
Donglin Di, He Feng, Wenzhang SUN et al.
ICCV 2025arXiv:2410.07151
5
citations
New Algorithms for the Learning-Augmented k-means Problem
Junyu Huang, Qilong Feng, Ziyun Huang et al.
ICLR 2025
1
citations
Scale Efficient Training for Large Datasets
Qing Zhou, Junyu Gao, Qi Wang
CVPR 2025arXiv:2503.13385
3
citations
Scaling Image Geo-Localization to Continent Level
Philipp Lindenberger, Paul-Edouard Sarlin, Jan Hosang et al.
NEURIPS 2025arXiv:2510.26795
2
citations
UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
Chen Zhao, En Ci, Yunzhe Xu et al.
NEURIPS 2025arXiv:2510.20661
9
citations
Variational Bayesian Pseudo-Coreset
Hyungi Lee, Seungyoo Lee, Juho Lee
ICLR 2025arXiv:2502.21143
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain et al.
ICLR 2024arXiv:2309.17425
222
citations
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation
YUE XU, Yong-Lu Li, Kaitong Cui et al.
ECCV 2024arXiv:2305.18381
8
citations
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps
Jordao Bragantini, Merlin Lange, Loïc A Royer
ECCV 2024arXiv:2308.04526
15
citations
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Abed El Kader Hammoud, Tuhin Das, Fabio Pizzati et al.
ECCV 2024arXiv:2403.13808
9
citations
Retrieval Robust to Object Motion Blur
Rong Zou, Marc Pollefeys, Denys Rozumnyi
ECCV 2024arXiv:2404.18025
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
Weixuan Liang, En Zhu, Shengju Yu et al.
ICML 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
Ruonan Yu, Songhua Liu, Jingwen Ye et al.
ECCV 2024arXiv:2410.07579
13
citations
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang, Liang Luo, Yuxin Chen et al.
ICML 2024arXiv:2403.02545
78
citations