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Task Discovery: Finding the Tasks that Neural Networks Generalize on

Task Discovery: Finding the Tasks that Neural Networks Generalize on

Neural Information Processing Systems (NeurIPS), 2022
1 December 2022
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
    OOD
ArXiv (abs)PDFHTMLGithub

Papers citing "Task Discovery: Finding the Tasks that Neural Networks Generalize on"

10 / 10 papers shown
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context LearnersInternational Conference on Learning Representations (ICLR), 2025
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLMMLLMLRM
557
5
0
03 Apr 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Louis McConnell
OODCML
340
0
0
06 Mar 2025
Let Go of Your Labels with Unsupervised Transfer
Let Go of Your Labels with Unsupervised Transfer
Artyom Gadetsky
Yulun Jiang
Maria Brbić
VLM
290
16
0
11 Jun 2024
On Transfer in Classification: How Well do Subsets of Classes
  Generalize?
On Transfer in Classification: How Well do Subsets of Classes Generalize?
Raphael Baena
Lucas Drumetz
Vincent Gripon
279
0
0
06 Mar 2024
Semantically-aware Neural Radiance Fields for Visual Scene
  Understanding: A Comprehensive Review
Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review
Thang-Anh-Quan Nguyen
Amine Bourki
Mátyás Macudzinski
Anthony Brunel
M. Bennamoun
406
18
0
17 Feb 2024
Unraveling the Key Components of OOD Generalization via Diversification
Unraveling the Key Components of OOD Generalization via Diversification
Harold Benoit
Liangze Jiang
Andrei Atanov
Ouguzhan Fatih Kar
Mattia Rigotti
Amir Zamir
CML
406
3
0
26 Dec 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised LearningNeural Information Processing Systems (NeurIPS), 2023
Artyom Gadetsky
Maria Brbić
337
9
0
06 Nov 2023
Demystifying Disagreement-on-the-Line in High Dimensions
Demystifying Disagreement-on-the-Line in High DimensionsInternational Conference on Machine Learning (ICML), 2023
Dong-Hwan Lee
Behrad Moniri
Xinmeng Huang
Guang Cheng
Hamed Hassani
400
12
0
31 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword ExplanationComputer Vision and Pattern Recognition (CVPR), 2023
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
590
58
0
26 Jan 2023
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,857
0
17 Jun 2020
1
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