High Fidelity Visualization of What Your Self-Supervised Representation Knows About

16 December 2021

Pascal Vincent

Papers citing "High Fidelity Visualization of What Your Self-Supervised Representation Knows About"

21 / 21 papers shown

Title
Image Classification Using a Diffusion Model as a Pre-Training Model Kosuke Ukita Ye Xiaolong Tsuyoshi Okita DiffM MedIm VLM 34 0 0 11 May 2025
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis Haroui Ma Francesco Quinzan Theresa Willem Stefan Bauer 76 0 0 28 Apr 2025
Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval Yuanmin Tang Jing Yu Keke Gai Jiamin Zhuang Gang Xiong Gaopeng Gou Qi Wu VGen 47 1 0 21 Mar 2025
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture Donghee Kim Sungduk Cho Hyeonwoo Cho Chanmin Park Jinyoung Kim Won Hwa Kim 44 0 0 15 Jul 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries Yu-Hsiang Huang Yuche Tsai Hsiang Hsiao Hong-Yi Lin Shou-De Lin SILM 35 8 0 12 Jun 2024
A-JEPA: Joint-Embedding Predictive Architecture Can Listen Zhengcong Fei Mingyuan Fan Junshi Huang 25 17 0 27 Nov 2023
Text Embeddings Reveal (Almost) As Much As Text John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 26 94 0 10 Oct 2023
Identifying Interpretable Subspaces in Image Representations N. Kalibhat S. Bhardwaj Bayan Bruss Hamed Firooz Maziar Sanjabi S. Feizi FAtt 32 26 0 20 Jul 2023
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation Florian Bordes Samuel Lavoie Randall Balestriero Nicolas Ballas Pascal Vincent SSL 32 5 0 11 Apr 2023
Towards Democratizing Joint-Embedding Self-Supervised Learning Florian Bordes Randall Balestriero Pascal Vincent 19 20 0 03 Mar 2023
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 38 16 0 24 Oct 2022
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 46 72 0 05 Oct 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform Yubei Chen Zeyu Yun Y. Ma Bruno A. Olshausen Yann LeCun 45 8 0 30 Sep 2022
Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 28 311 0 14 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 69 6,627 0 13 Apr 2022
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features N. Kalibhat Kanika Narang Hamed Firooz Maziar Sanjabi S. Feizi SSL 31 7 0 03 Mar 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 74 80 0 13 Jan 2022
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 204 132 0 10 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016