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1901.01151
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Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
3 January 2019
Vishal Kaushal
Rishabh K. Iyer
Suraj Kothawade
Rohan Mahadev
Khoshrav Doctor
Ganesh Ramakrishnan
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Papers citing
"Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision"
21 / 21 papers shown
Title
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
Maximilian Böther
Abraham Sebastian
Pranjal Awasthi
Ana Klimovic
Srikumar Ramalingam
49
0
0
26 Feb 2024
Soft Random Sampling: A Theoretical and Empirical Analysis
Xiaodong Cui
Ashish R. Mittal
Songtao Lu
Wei Zhang
G. Saon
Brian Kingsbury
50
1
0
21 Nov 2023
Farzi Data: Autoregressive Data Distillation
Noveen Sachdeva
Zexue He
Wang-Cheng Kang
Jianmo Ni
D. Cheng
Julian McAuley
DD
35
3
0
15 Oct 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Sang Michael Xie
Hieu H. Pham
Xuanyi Dong
Nan Du
Hanxiao Liu
Yifeng Lu
Percy Liang
Quoc V. Le
Tengyu Ma
Adams Wei Yu
MoMe
MoE
58
180
0
17 May 2023
Provable Data Subset Selection For Efficient Neural Network Training
M. Tukan
Samson Zhou
Alaa Maalouf
Daniela Rus
Vladimir Braverman
Dan Feldman
MLT
33
9
0
09 Mar 2023
Less is More: Data Pruning for Faster Adversarial Training
Yize Li
Pu Zhao
Xinyu Lin
B. Kailkhura
Ryan Goldh
AAML
22
9
0
23 Feb 2023
Data Selection for Language Models via Importance Resampling
Sang Michael Xie
Shibani Santurkar
Tengyu Ma
Percy Liang
48
173
0
06 Feb 2023
Leveraging Importance Weights in Subset Selection
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
45
3
0
28 Jan 2023
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
N. Durasov
Nik Dorndorf
Pascal Fua
VLM
26
5
0
21 Nov 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
Ashish R. Mittal
D. Sivasubramanian
Rishabh K. Iyer
Preethi Jyothi
Ganesh Ramakrishnan
26
3
0
30 Oct 2022
Submodlib: A Submodular Optimization Library
Vishal Kaushal
Ganesh Ramakrishnan
Rishabh K. Iyer
50
12
0
22 Feb 2022
On Sampling Collaborative Filtering Datasets
Noveen Sachdeva
Carole-Jean Wu
Julian McAuley
34
16
0
13 Jan 2022
Active Learning for Deep Neural Networks on Edge Devices
Yuya Senzaki
Christian Hamelain
34
7
0
21 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks
Nathan Beck
D. Sivasubramanian
Apurva Dani
Ganesh Ramakrishnan
Rishabh K. Iyer
VLM
25
38
0
16 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty
Xujiang Zhao
F. Chen
Rishabh K. Iyer
24
78
0
14 Jun 2021
Submodular Mutual Information for Targeted Data Subset Selection
Suraj Kothawade
Vishal Kaushal
Ganesh Ramakrishnan
J. Bilmes
Rishabh K. Iyer
24
6
0
30 Apr 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
94
191
0
27 Feb 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
Rishabh Iyer University of Texas at Dallas
27
201
0
19 Dec 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Abdulelah S. Alshehri
R. Gani
Fengqi You
AI4CE
35
83
0
18 May 2020
A Unified Framework of Constrained Robust Submodular Optimization with Applications
Rishabh K. Iyer
19
8
0
14 Jun 2019
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,125
0
25 Jul 2012
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