Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2203.08212
Cited By
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
15 March 2022
Krishnateja Killamsetty
Guttu Sai Abhishek
Aakriti
A. Evfimievski
Lucian Popa
Ganesh Ramakrishnan
Rishabh K. Iyer
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning"
18 / 18 papers shown
Title
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
Zhijing Wan
Zhixiang Wang
Zheng Wang
Xin Xu
Shiníchi Satoh
36
0
0
17 Jun 2025
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation
Ruiyu Mao
Sarthak Kumar Maharana
Xulong Tang
Yunhui Guo
3DPC
86
0
0
06 May 2025
Influential Language Data Selection via Gradient Trajectory Pursuit
Zhiwei Deng
Tao Li
Yang Li
62
1
0
22 Oct 2024
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning
Sofya Dymchenko
Abhishek Purandare
Bruno Raffin
AI4CE
58
0
0
08 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
Ruiyu Mao
Sarthak Kumar Maharana
Rishabh K Iyer
Yunhui Guo
3DPC
59
1
0
04 Oct 2024
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling
Steven Grosz
Rui Zhao
Rajeev Ranjan
Hongcheng Wang
Manoj Aggarwal
Gérard Medioni
Anil Jain
VLM
94
1
0
20 Sep 2024
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
Eeshaan Jain
Tushar Nandy
Gaurav Aggarwal
Ashish Tendulkar
Rishabh K. Iyer
A. De
74
11
0
18 Sep 2024
SMART: Submodular Data Mixture Strategy for Instruction Tuning
Kowndinya Renduchintala
S. Bhatia
Ganesh Ramakrishnan
90
5
0
13 Mar 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection
Zhijing Wan
Zhixiang Wang
Yuran Wang
Zheng Wang
Hongyuan Zhu
Shiníchi Satoh
82
8
0
29 Jan 2024
ASP: Automatic Selection of Proxy dataset for efficient AutoML
Peng Yao
Chao Liao
Jiyuan Jia
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
57
3
0
17 Oct 2023
SCoRe: Submodular Combinatorial Representation Learning
Anay Majee
Suraj Kothawade
Krishnateja Killamsetty
Rishabh K. Iyer
136
1
0
29 Sep 2023
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms
K. Lis
T. Kryjak
3DPC
66
0
0
30 Jun 2023
Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset
Sungduk Yu
M. Pritchard
Po-Lun Ma
Balwinder Singh
S. Silva
82
2
0
08 Feb 2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning
Krishnateja Killamsetty
A. Evfimievski
Tejaswini Pedapati
K. Kate
Lucian Popa
Rishabh K. Iyer
67
8
0
30 Jan 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling
A. Koskela
Tejas D. Kulkarni
114
17
0
27 Jan 2023
Speeding up NAS with Adaptive Subset Selection
Vishak Prasad
Colin White
P. Jain
Sibasis Nayak
Ganesh Ramakrishnan
BDL
90
6
0
02 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
Zhijing Wan
Zhixiang Wang
CheukTing Chung
Zheng Wang
99
10
0
21 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
107
51
0
13 Oct 2022
1