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AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient
  Hyper-parameter Tuning

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
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
107
51
0
13 Oct 2022
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