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Bad Students Make Great Teachers: Active Learning Accelerates
  Large-Scale Visual Understanding

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding

8 December 2023
Talfan Evans
Shreya Pathak
Hamza Merzic
Jonathan Schwarz
Ryutaro Tanno
Olivier J. Hénaff
ArXivPDFHTML

Papers citing "Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding"

12 / 12 papers shown
Title
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
Xiyuan Wei
Ming Lin
Fanjiang Ye
Fengguang Song
Liangliang Cao
My T. Thai
Tianbao Yang
LLMSV
34
0
0
10 May 2025
Small Vision-Language Models: A Survey on Compact Architectures and Techniques
Nitesh Patnaik
Navdeep Nayak
Himani Bansal Agrawal
Moinak Chinmoy Khamaru
Gourav Bal
Saishree Smaranika Panda
Rishi Raj
Vishal Meena
Kartheek Vadlamani
VLM
58
0
0
09 Mar 2025
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Dilermando Queiroz
Anderson Carlos
André Anjos
Lilian Berton
50
0
0
24 Feb 2025
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
Guanqi Zhan
Yuanpei Liu
Kai Han
Weidi Xie
Andrew Zisserman
VLM
219
0
0
21 Feb 2025
A Bayesian Approach to Data Point Selection
A Bayesian Approach to Data Point Selection
Xinnuo Xu
Minyoung Kim
Royson Lee
Brais Martínez
Timothy M. Hospedales
35
0
0
06 Nov 2024
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
Yiding Jiang
Allan Zhou
Zhili Feng
Sadhika Malladi
J. Zico Kolter
45
15
0
15 Oct 2024
Data curation via joint example selection further accelerates multimodal
  learning
Data curation via joint example selection further accelerates multimodal learning
Talfan Evans
Nikhil Parthasarathy
Hamza Merzic
Olivier J. Hénaff
32
13
0
25 Jun 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language
  Model Pre-training
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
David Brandfonbrener
Hanlin Zhang
Andreas Kirsch
Jonathan Richard Schwarz
Sham Kakade
28
7
0
15 Jun 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Mikayel Samvelyan
Sharath Chandra Raparthy
Andrei Lupu
Eric Hambro
Aram H. Markosyan
...
Minqi Jiang
Jack Parker-Holder
Jakob Foerster
Tim Rocktaschel
Roberta Raileanu
SyDa
83
64
0
26 Feb 2024
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
Sotiris Anagnostidis
Gregor Bachmann
Imanol Schlag
Thomas Hofmann
33
2
0
06 Nov 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
40
9
0
25 Aug 2023
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,505
0
23 Jan 2020
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