Task Discovery: Finding the Tasks that Neural Networks Generalize on

Task Discovery: Finding the Tasks that Neural Networks Generalize on

1 December 2022

Ajay Sohmshetty

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

15 / 15 papers shown

Title
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 67 0 0 03 Apr 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 40 0 0 06 Mar 2025
Let Go of Your Labels with Unsupervised Transfer Artyom Gadetsky Yulun Jiang Maria Brbić VLM 32 6 0 11 Jun 2024
On Transfer in Classification: How Well do Subsets of Classes Generalize? Raphael Baena Lucas Drumetz Vincent Gripon 29 0 0 06 Mar 2024
Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review Thang-Anh-Quan Nguyen Amine Bourki Mátyás Macudzinski Anthony Brunel M. Bennamoun 25 10 0 17 Feb 2024
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 29 2 0 26 Dec 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 22 6 0 06 Nov 2023
Demystifying Disagreement-on-the-Line in High Dimensions Dong-Hwan Lee Behrad Moniri Xinmeng Huang Edgar Dobriban Hamed Hassani 19 8 0 31 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 26 30 0 26 Jan 2023
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 215 201 0 21 Oct 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 370 0 09 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
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 273 2,886 0 15 Sep 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 114 577 0 27 Feb 2015