ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.12168
  4. Cited By
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning

Hallucination Improves the Performance of Unsupervised Visual Representation Learning

22 July 2023
Jing Wu
Jennifer Hobbs
N. Hovakimyan
    SSL
ArXivPDFHTML

Papers citing "Hallucination Improves the Performance of Unsupervised Visual Representation Learning"

22 / 22 papers shown
Title
CROPS: A Deployable Crop Management System Over All Possible State
  Availabilities
CROPS: A Deployable Crop Management System Over All Possible State Availabilities
Jing Wu
Zhixin Lai
Shengjie Liu
Suiyao Chen
Ran Tao
Pan Zhao
Chuyuan Tao
Yikun Cheng
N. Hovakimyan
OffRL
47
0
0
09 Nov 2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer
  Look
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Yong Zhang
Rui Zhu
Shifeng Zhang
Xu Zhou
Shifeng Chen
Xiaofan Chen
SSL
38
0
0
16 Oct 2024
Confabulation: The Surprising Value of Large Language Model
  Hallucinations
Confabulation: The Surprising Value of Large Language Model Hallucinations
Peiqi Sui
Eamon Duede
Sophie Wu
Richard Jean So
HILM
LLMAG
27
18
0
06 Jun 2024
Deep Representation Learning for Multi-functional Degradation Modeling
  of Community-dwelling Aging Population
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
Suiyao Chen
Xinyi Liu
Yulei Li
Jing Wu
Handong Yao
39
5
0
08 Apr 2024
The New Agronomists: Language Models are Experts in Crop Management
The New Agronomists: Language Models are Experts in Crop Management
Jing Wu
Zhixin Lai
Suiyao Chen
Ran Tao
Pan Zhao
N. Hovakimyan
26
19
0
28 Mar 2024
Residual-based Language Models are Free Boosters for Biomedical Imaging
Residual-based Language Models are Free Boosters for Biomedical Imaging
Zhixin Lai
Jing Wu
Suiyao Chen
Yucheng Zhou
N. Hovakimyan
MedIm
38
29
0
26 Mar 2024
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive
  Learning
Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
Qiao Sun
Liujia Yang
Minghao Ma
Nanyang Ye
Qinying Gu
24
1
0
12 Mar 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
22
13
0
16 Feb 2024
LightHouse: A Survey of AGI Hallucination
LightHouse: A Survey of AGI Hallucination
Feng Wang
LRM
HILM
VLM
32
3
0
08 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
Jing Wu
Suiyao Chen
Qi Zhao
Renat Sergazinov
Chen Li
...
Tianpei Xie
Hanqing Guo
Cheng Ji
Daniel Cociorva
Hakan Brunzel
SSL
54
37
0
04 Jan 2024
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
61
0
0
16 Nov 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular
  Data
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen
Jing Wu
N. Hovakimyan
Handong Yao
33
33
0
28 Oct 2023
LEMON: Lossless model expansion
LEMON: Lossless model expansion
Yite Wang
Jiahao Su
Hanlin Lu
Cong Xie
Tianyi Liu
Jianbo Yuan
Haibin Lin
Ruoyu Sun
Hongxia Yang
17
12
0
12 Oct 2023
A Survey of Hallucination in Large Foundation Models
A Survey of Hallucination in Large Foundation Models
Vipula Rawte
A. Sheth
Amitava Das
HILM
LRM
23
345
0
12 Sep 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
32
14
0
27 Jul 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
43
9
0
28 Feb 2023
Improving Contrastive Learning by Visualizing Feature Transformation
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu
Bingchen Zhao
Jingen Liu
Zhenglong Sun
C. L. P. Chen
SSL
96
78
0
06 Aug 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
55
110
0
04 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
188
453
0
29 Apr 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
5,775
0
29 Apr 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
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
186
351
0
12 Jun 2018
1