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Data-Efficient Contrastive Self-supervised Learning: Most Beneficial
  Examples for Supervised Learning Contribute the Least

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least

18 February 2023
S. Joshi
Baharan Mirzasoleiman
    SSL
ArXivPDFHTML

Papers citing "Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least"

14 / 14 papers shown
Title
When Dynamic Data Selection Meets Data Augmentation
When Dynamic Data Selection Meets Data Augmentation
S. M. I. Simon X. Yang
Peng Ye
F. Shen
Dongzhan Zhou
24
0
0
02 May 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
55
0
0
01 Apr 2025
Geometric Median (GM) Matching for Robust Data Pruning
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya
Inderjit S Dhillon
Sujay Sanghavi
AAML
59
0
0
20 Jan 2025
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
S. Joshi
Besmira Nushi
Vidhisha Balachandran
Varun Chandrasekaran
Vibhav Vineet
Neel Joshi
Baharan Mirzasoleiman
MLLM
VLM
44
0
0
07 Jan 2025
Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning
Yi-Ge Zhang
Jingyi Cui
Qiran Li
Yisen Wang
SSL
41
0
0
03 Jan 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
Sahil Verma
J. Bilmes
29
0
0
23 Dec 2024
From Prototypes to General Distributions: An Efficient Curriculum for
  Masked Image Modeling
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
Jinhong Lin
Cheng-En Wu
Huanran Li
Jifan Zhang
Yu Hen Hu
Pedro Morgado
36
0
0
16 Nov 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
S. Joshi
Jiayi Ni
Baharan Mirzasoleiman
DD
67
2
0
03 Oct 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning
  in Laparoscopic Surgery
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
Yuning Zhou
H. Badgery
Matthew Read
James Bailey
Catherine E. Davey
37
1
0
03 Jun 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data
  Quality over Quantity
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
Siddharth Joshi
Arnav Jain
Ali Payani
Baharan Mirzasoleiman
VLM
CLIP
31
8
0
18 Mar 2024
Investigating the Benefits of Projection Head for Representation
  Learning
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue
Eric Gan
Jiayi Ni
Siddharth Joshi
Baharan Mirzasoleiman
34
10
0
18 Mar 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large
  Language Models by Summarizing Training Trajectories of Small Models
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang
Siddhartha Mishra
Jeffrey N Chiang
Baharan Mirzasoleiman
32
17
0
12 Mar 2024
Learning Contrastive Feature Representations for Facial Action Unit
  Detection
Learning Contrastive Feature Representations for Facial Action Unit Detection
Ziqiao Shang
Bin Liu
Fengmao Lv
Fei Teng
Tian-Jie Li
43
1
0
09 Feb 2024
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
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
86
188
0
27 Feb 2021
1