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Do Generated Data Always Help Contrastive Learning?

Do Generated Data Always Help Contrastive Learning?

19 March 2024
Yifei Wang
Jizhe Zhang
Yisen Wang
    DiffM
ArXivPDFHTML

Papers citing "Do Generated Data Always Help Contrastive Learning?"

11 / 11 papers shown
Title
MultiConIR: Towards multi-condition Information Retrieval
Xuan Lu
Sifan Liu
Bochao Yin
Y. K. Li
Xinghao Chen
Hui Su
Yaohui Jin
Wenjun Zeng
Xiaoyu Shen
74
0
0
13 Mar 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
178
0
0
10 Feb 2025
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
Mingyang Chen
Haoze Sun
Tianpeng Li
Fan Yang
Hao Liang
Keer Lu
Bin Cui
Wentao Zhang
Zenan Zhou
Weipeng Chen
LRM
46
5
0
16 Oct 2024
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Xinrui Zhou
Yuhao Huang
Haoran Dou
Shijing Chen
Ao Chang
...
Jie Jessie Ren
Ruobing Huang
Jun Cheng
Wufeng Xue
Dong Ni
MedIm
141
0
0
25 Sep 2024
Synth-Empathy: Towards High-Quality Synthetic Empathy Data
Synth-Empathy: Towards High-Quality Synthetic Empathy Data
Hao Liang
Linzhuang Sun
Jingxuan Wei
Xijie Huang
Linkun Sun
Bihui Yu
Conghui He
Wentao Zhang
SyDa
42
4
0
31 Jul 2024
Towards a Unified Theoretical Understanding of Non-contrastive Learning
  via Rank Differential Mechanism
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Zhijian Zhuo
Yifei Wang
Jinwen Ma
Yisen Wang
45
24
0
04 Mar 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive
  Learning
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo
Yifei Wang
Yisen Wang
34
25
0
02 Mar 2023
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
516
0
06 Dec 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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