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Sampling Bias in Deep Active Classification: An Empirical Study

Sampling Bias in Deep Active Classification: An Empirical Study

20 September 2019
Ameya Prabhu
Charles Dognin
M. Singh
ArXivPDFHTML

Papers citing "Sampling Bias in Deep Active Classification: An Empirical Study"

17 / 17 papers shown
Title
Self-Training for Sample-Efficient Active Learning for Text
  Classification with Pre-Trained Language Models
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder
Gerhard Heyer
VLM
44
0
0
13 Jun 2024
Semi-supervised Active Learning for Video Action Detection
Semi-supervised Active Learning for Video Action Detection
Aayush Singh
A. J. Rana
Akash Kumar
Shruti Vyas
Y. S. Rawat
33
7
0
12 Dec 2023
Bad Students Make Great Teachers: Active Learning Accelerates
  Large-Scale Visual Understanding
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
Talfan Evans
Shreya Pathak
Hamza Merzic
Jonathan Schwarz
Ryutaro Tanno
Olivier J. Hénaff
18
16
0
08 Dec 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
45
13
0
16 Nov 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
31
11
0
21 May 2023
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning
  and Coding with LLMs
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Pranjal Aggarwal
Aman Madaan
Yiming Yang
Mausam
LRM
28
36
0
19 May 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
24
7
0
14 Feb 2023
MEAL: Stable and Active Learning for Few-Shot Prompting
MEAL: Stable and Active Learning for Few-Shot Prompting
Abdullatif Köksal
Timo Schick
Hinrich Schütze
24
25
0
15 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document
  Extraction Models
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Yichao Zhou
James Bradley Wendt
Navneet Potti
Jing Xie
Sandeep Tata
VLM
32
1
0
28 Oct 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
33
65
0
18 Oct 2022
Towards Computationally Feasible Deep Active Learning
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun
Artem Shelmanov
Gleb Kuzmin
Leonid Sanochkin
Daniil Larionov
Gleb Gusev
Manvel Avetisian
L. Zhukov
32
15
0
07 May 2022
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic Perception
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
52
13
0
23 Sep 2021
Deep Active Learning for Text Classification with Diverse
  Interpretations
Deep Active Learning for Text Classification with Diverse Interpretations
Qiang Liu
Yanqiao Zhu
Zhaocheng Liu
Yufeng Zhang
Shu Wu
AI4CE
19
14
0
15 Aug 2021
Multi-class Text Classification using BERT-based Active Learning
Multi-class Text Classification using BERT-based Active Learning
Sumanth Prabhu
Moosa Mohamed
Hemant Misra
27
38
0
27 Apr 2021
On the Importance of Effectively Adapting Pretrained Language Models for
  Active Learning
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
Katerina Margatina
Loïc Barrault
Nikolaos Aletras
27
36
0
16 Apr 2021
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Benjamin Schiller
Johannes Daxenberger
Iryna Gurevych
11
95
0
06 Jan 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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