TED: Accelerate Model Training by Internal Generalization

TED: Accelerate Model Training by Internal Generalization

6 May 2024

Jinying Xiao

Ping Li

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Papers citing "TED: Accelerate Model Training by Internal Generalization"

14 / 14 papers shown

Title
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning Ziheng Qin Kaidi Wang Zangwei Zheng Jianyang Gu Xiang Peng ... Daquan Zhou Lei Shang Baigui Sun Xuansong Xie Yang You 175 52 0 08 Mar 2023
Understanding and Improving Visual Prompting: A Label-Mapping Perspective Aochuan Chen Yuguang Yao Pin-Yu Chen Yihua Zhang Sijia Liu VPVLM VLM 120 81 0 21 Nov 2022
GradViT: Gradient Inversion of Vision Transformers Ali Hatamizadeh Hongxu Yin H. Roth Wenqi Li Jan Kautz Daguang Xu Pavlo Molchanov ViT 157 64 0 22 Mar 2022
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 119 461 0 15 Jul 2021
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering Siddharth Karamcheti Ranjay Krishna Li Fei-Fei Christopher D. Manning 85 92 0 06 Jul 2021
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 136 171 0 13 Aug 2020
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks Umut Simsekli Levent Sagun Mert Gurbuzbalaban 102 252 0 18 Jan 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 128 741 0 12 Dec 2018
Theory of Curriculum Learning, with Convex Loss Functions D. Weinshall D. Amir 61 41 0 09 Dec 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 269 1,207 0 04 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,200 0 20 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 263 3,485 0 09 Mar 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 141 276 0 27 Feb 2018
Qualitatively characterizing neural network optimization problems Ian Goodfellow Oriol Vinyals Andrew M. Saxe ODL 112 523 0 19 Dec 2014

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