GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

19 December 2020

Krishnateja Killamsetty

D. Sivasubramanian

Ganesh Ramakrishnan

Rishabh Iyer University of Texas at Dallas

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Papers citing "GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning"

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Title
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 29 47 0 13 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 22 1 0 04 Oct 2022
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification Suraj Kothawade Atharv Savarkar V. Iyer Lakshman Tamil Ganesh Ramakrishnan Rishabh K. Iyer 17 8 0 04 Oct 2022
Adversarial Coreset Selection for Efficient Robust Training H. M. Dolatabadi S. Erfani C. Leckie AAML 6 7 0 13 Sep 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning Omead Brandon Pooladzandi David Davini Baharan Mirzasoleiman 6 62 0 28 Jul 2022
Deep reinforced active learning for multi-class image classification E. Slade K. Branson VLM 21 6 0 20 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan N. Gomez Adrien Morisot Sebastian Farquhar Y. Gal 41 148 0 14 Jun 2022
CVNets: High Performance Library for Computer Vision Sachin Mehta Farzad Abdolhosseini Mohammad Rastegari 21 18 0 04 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 43 20 0 31 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 24 2 0 20 May 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 28 131 0 18 Apr 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 22 105 0 25 Mar 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning Krishnateja Killamsetty Guttu Sai Abhishek Aakriti A. Evfimievski Lucian Popa Ganesh Ramakrishnan Rishabh K. Iyer 12 24 0 15 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 16 9 0 03 Mar 2022
Fast Rates in Pool-Based Batch Active Learning Claudio Gentile Zhilei Wang Tong Zhang 24 14 0 11 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 21 5 0 07 Feb 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 8 52 0 31 Jan 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 26 4 0 30 Jan 2022
$$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training$ $\ell_\infty$ -Robustness and Beyond: Unleashing Efficient Adversarial Training H. M. Dolatabadi S. Erfani C. Leckie OOD AAML 16 11 0 01 Dec 2021
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information Suraj Kothawade Saikat Ghosh Sumit Shekhar Yu Xiang Rishabh K. Iyer 28 27 0 30 Nov 2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning Rishabh Tiwari Krishnateja Killamsetty Rishabh K. Iyer Pradeep Shenoy BDL CLL 21 127 0 18 Nov 2021
MERCURY: Accelerating DNN Training By Exploiting Input Similarity Vahid Janfaza Kevin Weston Moein Razavi Shantanu Mandal Farabi Mahmud Alex Hilty A. Muzahid 39 5 0 28 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming Ayush Maheshwari Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer Marina Danilevsky Lucian Popa 32 16 0 23 Sep 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 7 150 0 29 Jul 2021
A Tale Of Two Long Tails Daniel D'souza Zach Nussbaum Chirag Agarwal Sara Hooker 16 22 0 27 Jul 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 11 432 0 15 Jul 2021
Zero-Round Active Learning Si-An Chen Tianhao Wang R. Jia 59 4 0 14 Jul 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios Suraj Kothawade Nathan Beck Krishnateja Killamsetty Rishabh K. Iyer 11 101 0 01 Jul 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 16 78 0 14 Jun 2021
Submodular Mutual Information for Targeted Data Subset Selection Suraj Kothawade Vishal Kaushal Ganesh Ramakrishnan J. Bilmes Rishabh K. Iyer 19 6 0 30 Apr 2021
One-Round Active Learning Tianhao Wang Si-An Chen R. Jia 112 7 0 23 Apr 2021
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection Suraj Kothawade Vishal Kaushal Ganesh Ramakrishnan J. Bilmes Rishabh K. Iyer 9 46 0 27 Feb 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 88 188 0 27 Feb 2021
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 8 10 0 13 Nov 2020
Semi-Supervised Data Programming with Subset Selection Ayush Maheshwari Oishik Chatterjee Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer 12 21 0 22 Aug 2020