Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data

9 January 2020

Sanja Fidler

Papers citing "Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data"

26 / 26 papers shown

Title
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 31 14 0 02 Nov 2023
Too Large; Data Reduction for Vision-Language Pre-Training Alex Jinpeng Wang Kevin Qinghong Lin David Junhao Zhang Stan Weixian Lei Mike Zheng Shou VLM 21 24 0 31 May 2023
Large-scale Training Data Search for Object Re-identification Yue Yao Huan Lei Tom Gedeon Liang Zheng 23 10 0 28 Mar 2023
Train/Test-Time Adaptation with Retrieval L. Zancato Alessandro Achille Tian Yu Liu Matthew Trager Pramuditha Perera Stefano Soatto TTA OOD 16 12 0 25 Mar 2023
SEPT: Towards Scalable and Efficient Visual Pre-Training Yiqi Lin Huabin Zheng Huaping Zhong Jinjing Zhu Weijia Li Conghui He Lin Wang 17 2 0 11 Dec 2022
tf.data service: A Case for Disaggregating ML Input Data Processing Andrew Audibert Yangrui Chen D. Graur Ana Klimovic Jiří Šimša C. A. Thekkath 42 16 0 26 Oct 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling Junyuan Hong Lingjuan Lyu Jiayu Zhou Michael Spranger SyDa 37 6 0 23 Oct 2022
Scalable Neural Data Server: A Data Recommender for Transfer Learning Tianshi Cao Sasha Doubov David Acuna Sanja Fidler 15 6 0 19 Jun 2022
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 15 97 0 09 Apr 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 17 4 0 04 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 25 22 0 04 Apr 2022
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 13 11 0 01 Dec 2021
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 11 23 0 25 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 11 57 0 24 Nov 2021
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification Haowen Luo Pichao Wang Yi Tian Xu Feng Ding Yanxin Zhou Fan Wang Hao Li Rong Jin ViT 16 59 0 23 Nov 2021
DIVA: Dataset Derivative of a Learning Task Yonatan Dukler Alessandro Achille Giovanni Paolini Avinash Ravichandran M. Polito Stefano Soatto 14 5 0 18 Nov 2021
Scalable Diverse Model Selection for Accessible Transfer Learning Daniel Bolya Rohit Mittapalli Judy Hoffman OODD 25 41 0 12 Nov 2021
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data Wasu Top Piriyakulkij Cristina Menghini Ross Briden Nihal V. Nayak Jeffrey Zhu Elaheh Raisi Stephen H. Bach VLM 12 1 0 08 Nov 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 137 277 0 15 Oct 2021
Ranking Models in Unlabeled New Environments Xiaoxiao Sun Yunzhong Hou Weijian Deng Hongdong Li Liang Zheng OOD 8 9 0 23 Aug 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs Xingyuan Bu Junran Peng Junjie Yan T. Tan Zhaoxiang Zhang ObjD VLM 15 53 0 21 Jun 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 8 4 0 01 Apr 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 13 80 0 24 Mar 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 13 12 0 26 Jan 2021
Efficient Conditional Pre-training for Transfer Learning Shuvam Chakraborty Burak Uzkent Kumar Ayush Kumar Tanmay Evan Sheehan Stefano Ermon VLM 11 17 0 20 Nov 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 16 62 0 28 Sep 2020