Large Scale Adversarial Representation Learning

4 July 2019

Papers citing "Large Scale Adversarial Representation Learning"

50 / 339 papers shown

Title
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis Imanol G. Estepa Jesús M. Rodríguez-de-Vera Ignacio Sarasúa Bhalaji Nagarajan P. Radeva 54 0 0 19 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 60 0 0 08 Mar 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 72 0 0 29 Nov 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Shaozhe Hao Xuantong Liu Xianbiao Qi Shihao Zhao Bojia Zi Rong Xiao Kai Han Kwan-Yee K. Wong 43 3 0 18 Oct 2024
PhotoReg: Photometrically Registering 3D Gaussian Splatting Models Ziwen Yuan Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi 3DGS 24 2 0 07 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 50 2 0 02 Oct 2024
Towards Kinetic Manipulation of the Latent Space Diego Porres 23 0 0 15 Sep 2024
Leveraging Superfluous Information in Contrastive Representation Learning Xuechu Yu SSL 19 1 0 19 Aug 2024
PEEKABOO: Hiding parts of an image for unsupervised object localization Hasib Zunair u 24 A.BenHamza SSL 36 0 0 24 Jul 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 30 19 0 30 Jun 2024
Visual Representation Learning with Stochastic Frame Prediction Huiwon Jang Dongyoung Kim Junsu Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 34 2 0 11 Jun 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks Chenxin Tao Xizhou Zhu Shiqian Su Lewei Lu Changyao Tian ... Gao Huang Hongsheng Li Yu Qiao Jie Zhou Jifeng Dai 65 1 0 06 Jun 2024
The Power of Next-Frame Prediction for Learning Physical Laws T. Winterbottom G. Hudson Daniel Kluvanec Dean L. Slack Jamie Sterling Junjie Shentu Chenghao Xiao Zheming Zhou Noura Al Moubayed 29 1 0 21 May 2024
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity Boujemaa Guermazi Naimul Khan 30 2 0 09 May 2024
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning Yunhao Cao Jianxin Wu 33 0 0 30 Apr 2024
FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework Jiawei Chen Xiao Yang Yinpeng Dong Hang Su Jianteng Peng Zhaoxia Yin CVBM 43 0 0 14 Apr 2024
Can Generative Models Improve Self-Supervised Representation Learning? Sana Ayromlou Arash Afkanpour Vahid Reza Khazaie Fereshteh Forghani 24 3 0 09 Mar 2024
Denoising Autoregressive Representation Learning Yazhe Li J. Bornschein Ting Chen DiffM 30 3 0 08 Mar 2024
Intriguing Properties of Modern GANs Roy Friedman Yair Weiss 36 0 0 21 Feb 2024
A Single Simple Patch is All You Need for AI-generated Image Detection Jiaxuan Chen Jieteng Yao Li Niu 18 22 0 02 Feb 2024
Geometry aware 3D generation from in-the-wild images in ImageNet Qijia Shen Guangrun Wang 3DV 17 0 0 31 Jan 2024
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors Shiyin Dong Mingrui Zhu Kun Cheng Nannan Wang Xinbo Gao DiffM 17 3 0 29 Jan 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 30 53 0 25 Jan 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration Yifan Zhang Siyu Ren Junhui Hou Jinjian Wu Guangming Shi Guangming Shi SSL 3DPC 76 3 0 23 Jan 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 15 0 0 15 Jan 2024
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy Weijian Mai Jian Zhang Pengfei Fang Zhijun Zhang 42 9 0 31 Dec 2023
Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 27 45 0 28 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need Tianjin Huang Tianlong Chen Zhangyang Wang Shiwei Liu 32 1 0 09 Dec 2023
GIVT: Generative Infinite-Vocabulary Transformers Michael Tschannen Cian Eastwood Fabian Mentzer 12 34 0 04 Dec 2023
Exploiting Diffusion Prior for Generalizable Dense Prediction Hsin-Ying Lee Hung-Yu Tseng Hsin-Ying Lee Ming-Hsuan Yang DiffM MDE 30 18 0 30 Nov 2023
Do text-free diffusion models learn discriminative visual representations? Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Tianyi Zhou Abhinav Shrivastava DiffM 24 11 1 29 Nov 2023
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 25 47 0 29 Nov 2023
Human Machine Co-Creation. A Complementary Cognitive Approach to Creative Character Design Process Using GANs Mohammad Lataifeh Xavier A Carrascoa Ashraf M Elnagara Naveed Ahmeda Imran N. Junejo GAN 10 0 0 23 Nov 2023
Siamese Representation Learning for Unsupervised Relation Extraction Guangxin Zhang Shu Chen SSL 15 2 0 01 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 11 0 0 30 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 22 3 0 29 Sep 2023
In-Domain GAN Inversion for Faithful Reconstruction and Editability Jiapeng Zhu Yujun Shen Yinghao Xu Deli Zhao Qifeng Chen Bolei Zhou DiffM 28 4 0 25 Sep 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning B. U. Demirel Christian Holz AI4TS 24 18 0 23 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images Zhiyun Song Penghui Du Junpeng Yan K. Li Jianzhong Shou Maode Lai Yubo Fan Yan Xu 26 7 0 14 Sep 2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference Songyu Ke Ting Li Li Song Yanping Sun Qintian Sun Junbo Zhang Yu Zheng SSL 21 2 0 06 Sep 2023
A General-Purpose Self-Supervised Model for Computational Pathology Richard J. Chen Tong Ding Ming Y. Lu Drew F. K. Williamson Guillaume Jaume ... Judy J. Wang Walt Williams L. Le Georg Gerber Faisal Mahmood MedIm 20 42 0 29 Aug 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection Oren Shrout Ori Nitzan Yizhak Ben-Shabat A. Tal 3DPC 50 2 0 14 Aug 2023
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition L. Bicsi B. Alexe Radu Tudor Ionescu Marius Leordeanu 22 2 0 09 Aug 2023
Learning beyond sensations: how dreams organize neuronal representations Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan SSL CLL 11 6 0 03 Aug 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 30 17 0 03 Aug 2023
Through their eyes: multi-subject Brain Decoding with simple alignment techniques Matteo Ferrante T. Boccato N. Toschi 30 14 0 01 Aug 2023
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography Yidong Gu Yoshito Otake Keisuke Uemura Mazen Soufi Masaki Takao Hugues Talbot S. Okada Nobuhiko Sugano Yoshinobu Sato OOD 16 10 0 21 Jul 2023
Diffusion Models Beat GANs on Image Classification Soumik Mukhopadhyay M. Gwilliam Vatsal Agarwal Namitha Padmanabhan A. Swaminathan Srinidhi Hegde Tianyi Zhou Abhinav Shrivastava DiffM 24 45 1 17 Jul 2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models Daiqing Li Huan Ling Amlan Kar David Acuna Seung Wook Kim Karsten Kreis Antonio Torralba Sanja Fidler VLM DiffM 17 26 0 14 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023