Probing the State of the Art: A Critical Look at Visual Representation
Evaluation

Probing the State of the Art: A Critical Look at Visual Representation Evaluation

30 November 2019

Joan Bruna

Papers citing "Probing the State of the Art: A Critical Look at Visual Representation Evaluation"

8 / 8 papers shown

Title
Evaluating Representations with Readout Model Switching Yazhe Li J. Bornschein Marcus Hutter 27 0 0 19 Feb 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 30 20 0 16 Jun 2022
On the Origins of the Block Structure Phenomenon in Neural Network Representations Thao Nguyen M. Raghu Simon Kornblith 25 14 0 15 Feb 2022
Socially Supervised Representation Learning: the Role of Subjectivity in Learning Efficient Representations Julius Taylor Eleni Nisioti Clément Moulin-Frier 19 0 0 20 Sep 2021
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles Jevgenij Gamper Nasir M. Rajpoot 27 62 0 08 Mar 2021
Evaluating representations by the complexity of learning low-loss predictors William F. Whitney M. Song David Brandfonbrener Jaan Altosaar Kyunghyun Cho 25 23 0 15 Sep 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 25 136 0 31 Mar 2020
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation Tianwei Lin Xu Zhao Haisheng Su Chongjing Wang Ming Yang 139 700 0 08 Jun 2018