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Similarity Search for Efficient Active Learning and Search of Rare
  Concepts

Similarity Search for Efficient Active Learning and Search of Rare Concepts

30 June 2020
Cody Coleman
Edward Chou
Julian Katz-Samuels
Sean Culatana
Peter Bailis
Alexander C. Berg
Robert Nowak
Roshan Sumbaly
Matei A. Zaharia
I. Z. Yalniz
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Papers citing "Similarity Search for Efficient Active Learning and Search of Rare Concepts"

11 / 11 papers shown
Title
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
143
1
0
10 Nov 2024
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
33
2
0
08 Apr 2024
Active Few-Shot Fine-Tuning
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
39
1
0
13 Feb 2024
DeDrift: Robust Similarity Search under Content Drift
DeDrift: Robust Similarity Search under Content Drift
Dmitry Baranchuk
Matthijs Douze
Yash Upadhyay
I. Z. Yalniz
22
8
0
05 Aug 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive
  Label-Efficient Learning
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang
Yifang Chen
Gregory H. Canal
Stephen Mussmann
Arnav M. Das
...
Yinglun Zhu
Jeffrey Bilmes
S. Du
Kevin G. Jamieson
Robert D. Nowak
VLM
33
10
0
16 Jun 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Jifan Zhang
Shuai Shao
Saurabh Verma
Robert D. Nowak
20
20
0
14 Feb 2023
Semi-Automated Construction of Food Composition Knowledge Base
Semi-Automated Construction of Food Composition Knowledge Base
Jason Youn
Fangzhou Li
I. Tagkopoulos
37
0
0
24 Jan 2023
GALAXY: Graph-based Active Learning at the Extreme
GALAXY: Graph-based Active Learning at the Extreme
Jifan Zhang
Julian Katz-Samuels
Robert D. Nowak
19
31
0
03 Feb 2022
Small-Text: Active Learning for Text Classification in Python
Small-Text: Active Learning for Text Classification in Python
Christopher Schröder
Lydia Muller
A. Niekler
Martin Potthast
CLIP
VLM
AI4CE
36
23
0
21 Jul 2021
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
237
446
0
28 Nov 2016
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