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SIMILAR: Submodular Information Measures Based Active Learning In
  Realistic Scenarios

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios

1 July 2021
Suraj Kothawade
Nathan Beck
Krishnateja Killamsetty
Rishabh K. Iyer
ArXivPDFHTML

Papers citing "SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios"

19 / 69 papers shown
Title
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
11
3
0
04 Jul 2022
Active Data Discovery: Mining Unknown Data using Submodular Information
  Measures
Active Data Discovery: Mining Unknown Data using Submodular Information Measures
Suraj Kothawade
Shivang Chopra
Saikat Ghosh
Rishabh K. Iyer
11
4
0
17 Jun 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning
Chengcheng Guo
B. Zhao
Yanbing Bai
OOD
39
132
0
18 Apr 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
24
105
0
25 Mar 2022
Representative Subset Selection for Efficient Fine-Tuning in
  Self-Supervised Speech Recognition
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition
Abdul Hameed Azeemi
I. Qazi
Agha Ali Raza
34
0
0
18 Mar 2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced
  Datasets
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets
Suraj Kothawade
P. Reddy
Ganesh Ramakrishnan
Rishabh K. Iyer
6
0
0
10 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou
Tingyang Xu
Qinliang Su
Yingzhen Li
P. Zhao
Yatao Bian
BDL
18
9
0
03 Mar 2022
Fast Rates in Pool-Based Batch Active Learning
Fast Rates in Pool-Based Batch Active Learning
Claudio Gentile
Zhilei Wang
Tong Zhang
24
14
0
11 Feb 2022
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse
  Discovery
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
Quan Nguyen
Roman Garnett
12
5
0
08 Feb 2022
GALAXY: Graph-based Active Learning at the Extreme
GALAXY: Graph-based Active Learning at the Extreme
Jifan Zhang
Julian Katz-Samuels
Robert D. Nowak
24
31
0
03 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular
  Mutual Information
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
34
4
0
30 Jan 2022
Optimal Data Selection: An Online Distributed View
Optimal Data Selection: An Online Distributed View
Mariel A. Werner
Anastasios Nikolas Angelopoulos
Stephen Bates
Michael I. Jordan
12
1
0
25 Jan 2022
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class
  Annealing
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
Renyu Zhang
Aly A. Khan
Robert L. Grossman
Yuxin Chen
BDL
21
2
0
27 Dec 2021
TALISMAN: Targeted Active Learning for Object Detection with Rare
  Classes and Slices using Submodular Mutual Information
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
33
28
0
30 Nov 2021
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent
  Adaptation
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
Suraj Kothawade
Anmol Reddy Mekala
D. ChandraSekhara
Mayank Kothyari
Rishabh K. Iyer
Ganesh Ramakrishnan
P. Jyothi
25
5
0
10 Oct 2021
Test Distribution-Aware Active Learning: A Principled Approach Against
  Distribution Shift and Outliers
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Andreas Kirsch
Tom Rainforth
Y. Gal
OOD
TTA
39
22
0
22 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy
  Learning Principle
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
J. Woo
42
11
0
30 May 2021
Less is more: Selecting informative and diverse subsets with balancing
  constraints
Less is more: Selecting informative and diverse subsets with balancing constraints
Srikumar Ramalingam
Daniel Glasner
Kaushal Patel
R. Vemulapalli
Sadeep Jayasumana
Sanjiv Kumar
13
6
0
26 Apr 2021
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
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