"large-scale datasets" Papers
19 papers found
Conference
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu, Kaiming He
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin et al.
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
Donglin Di, He Feng, Wenzhang SUN et al.
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
Max Staats, Matthias Thamm, Bernd Rosenow
New Algorithms for the Learning-Augmented k-means Problem
Junyu Huang, Qilong Feng, Ziyun Huang et al.
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.
Scale Efficient Training for Large Datasets
Qing Zhou, Junyu Gao, Qi Wang
Scaling Image Geo-Localization to Continent Level
Philipp Lindenberger, Paul-Edouard Sarlin, Jan Hosang et al.
UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
Chen Zhao, En Ci, Yunzhe Xu et al.
Variational Bayesian Pseudo-Coreset
Hyungi Lee, Seungyoo Lee, Juho Lee
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain et al.
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation
YUE XU, Yong-Lu Li, Kaitong Cui et al.
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
Shitong Shao, Zeyuan Yin, Muxin Zhou et al.
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps
Jordao Bragantini, Merlin Lange, Loïc A Royer
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Abed El Kader Hammoud, Tuhin Das, Fabio Pizzati et al.
Retrieval Robust to Object Motion Blur
Rong Zou, Marc Pollefeys, Denys Rozumnyi
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
Weixuan Liang, En Zhu, Shengju Yu et al.
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
Ruonan Yu, Songhua Liu, Jingwen Ye et al.
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang, Liang Luo, Yuxin Chen et al.