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The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning

The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning

6 November 2023
Artyom Gadetsky
Maria Brbić
ArXivPDFHTML

Papers citing "The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning"

14 / 14 papers shown
Title
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLM
MLLM
LRM
88
0
0
03 Apr 2025
Cross-domain Open-world Discovery
Cross-domain Open-world Discovery
Shuo Wen
Maria Brbic
OOD
71
3
0
17 Jun 2024
Fine-grained Classes and How to Find Them
Fine-grained Classes and How to Find Them
Matej Grcić
Artyom Gadetsky
Maria Brbić
50
1
0
16 Jun 2024
Let Go of Your Labels with Unsupervised Transfer
Let Go of Your Labels with Unsupervised Transfer
Artyom Gadetsky
Yulun Jiang
Maria Brbić
VLM
54
6
0
11 Jun 2024
NP-Match: When Neural Processes meet Semi-Supervised Learning
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
BDL
78
41
0
03 Jul 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
192
265
0
15 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
327
7,544
0
11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
279
872
0
15 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
64
18
0
14 Oct 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
197
691
0
22 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
316
3,387
0
09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
647
11,762
0
09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
318
2,908
0
15 Sep 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
131
581
0
27 Feb 2015
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