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Large Scale Adversarial Representation Learning

4 July 2019

Papers citing "Large Scale Adversarial Representation Learning"

50 / 344 papers shown

Title
Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal TransformersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Dean L. Slack G. Hudson T. Winterbottom Noura Al Moubayed 118 0 0 23 Oct 2025
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Zinan Lin Enshu Liu Xuefei Ning Junyi Zhu Wenyu Wang Sergey Yekhanin AI4CE 213 0 0 19 Sep 2025
From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios Changliang Xia Chengyou Jia Zhuohang Dang Minnan Luo Zhihui Li Xiaojun Chang DiffM OffRL 233 1 0 25 Jun 2025
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D GenerationComputer Vision and Pattern Recognition (CVPR), 2025 Dekai Zhu Yan Di Stefan Gavranovic Slobodan Ilic DiffM 1.1K 3 0 23 May 2025
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis Imanol G. Estepa Jesús M. Rodríguez-de-Vera Ignacio Sarasúa Bhalaji Nagarajan Petia Radeva 405 0 0 19 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 486 14 0 08 Mar 2025
Visual Lexicon: Rich Image Features in Language SpaceComputer Vision and Pattern Recognition (CVPR), 2024 Xudong Wang Xingyi Zhou Alireza Fathi Trevor Darrell Cordelia Schmid VLM 179 6 0 09 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 520 1 0 29 Nov 2024
Dissecting Representation Misalignment in Contrastive Learning via Influence Function Lijie Hu Chenyang Ren Huanyi Xie Khouloud Saadi Shu Yang Jing Zhang Di Wang Di Wang 229 4 0 18 Nov 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation CapabilitiesInternational Conference on Learning Representations (ICLR), 2024 Shaozhe Hao Xuantong Liu Xianbiao Qi Shihao Zhao Bojia Zi Rong Xiao Kai Han Kwan-Yee K. Wong 480 4 0 18 Oct 2024
PhotoReg: Photometrically Registering 3D Gaussian Splatting Models Ziwen Yuan Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi 3DGS 178 6 0 07 Oct 2024
Denoising with a Joint-Embedding Predictive ArchitectureInternational Conference on Learning Representations (ICLR), 2024 Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 445 5 0 02 Oct 2024
Towards Kinetic Manipulation of the Latent Space Diego Porres 183 0 0 15 Sep 2024
Leveraging Superfluous Information in Contrastive Representation Learning Xuechu Yu SSL 159 3 0 19 Aug 2024
PEEKABOO: Hiding parts of an image for unsupervised object localization Hasib Zunair u 24 A.BenHamza SSL 262 1 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 314 37 0 30 Jun 2024
Visual Representation Learning with Stochastic Frame Prediction Huiwon Jang Dongyoung Kim Junsu Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 317 7 0 11 Jun 2024
Learning 1D Causal Visual Representation with De-focus Attention NetworksNeural Information Processing Systems (NeurIPS), 2024 Chenxin Tao Xizhou Zhu Shiqian Su Lewei Lu Changyao Tian ... Gao Huang Hongsheng Li Ping Luo Jie Zhou Jifeng Dai 212 2 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 183 3 0 21 May 2024
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial ContinuityImage and Vision Computing (IVC), 2024 Boujemaa Guermazi Naimul Khan 236 8 0 09 May 2024
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning Yunhao Cao Jianxin Wu 157 1 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 122 1 0 14 Apr 2024
Can Generative Models Improve Self-Supervised Representation Learning?AAAI Conference on Artificial Intelligence (AAAI), 2024 Sana Ayromlou Arash Afkanpour Vahid Reza Khazaie Fereshteh Forghani 221 3 0 09 Mar 2024
Denoising Autoregressive Representation LearningInternational Conference on Machine Learning (ICML), 2024 Yazhe Li J. Bornschein Ting Chen DiffM 208 7 0 08 Mar 2024
Intriguing Properties of Modern GANs Roy Friedman Yair Weiss 215 0 0 21 Feb 2024
A Single Simple Patch is All You Need for AI-generated Image Detection Jiaxuan Chen Jieteng Yao Li Niu 196 39 0 02 Feb 2024
Geometry aware 3D generation from in-the-wild images in ImageNet Qijia Shen Guangrun Wang 3DV 220 0 0 31 Jan 2024
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion PriorsInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Shiyin Dong Mingrui Zhu Kun Cheng Nannan Wang Xinbo Gao DiffM 129 4 0 29 Jan 2024
Deconstructing Denoising Diffusion Models for Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2024 Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 256 86 0 25 Jan 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural CalibrationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Yifan Zhang Siyu Ren Xianqiang Lyu Jinjian Wu Guangming Shi Guangming Shi SSL 3DPC 600 7 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 142 1 0 15 Jan 2024
Brain-Conditional Multimodal Synthesis: A Survey and TaxonomyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Weijian Mai Jian Zhang Pengfei Fang Zhijun Zhang 408 14 0 31 Dec 2023
Learning Vision from Models Rivals Learning Vision from DataComputer Vision and Pattern Recognition (CVPR), 2023 Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 237 72 0 28 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need Tianjin Huang Tianlong Chen Zinan Lin Shiwei Liu 278 1 0 09 Dec 2023
GIVT: Generative Infinite-Vocabulary TransformersEuropean Conference on Computer Vision (ECCV), 2023 Michael Tschannen Cian Eastwood Fabian Mentzer 314 62 0 04 Dec 2023
Exploiting Diffusion Prior for Generalizable Dense PredictionComputer Vision and Pattern Recognition (CVPR), 2023 Hsin-Ying Lee Hung-Yu Tseng Hsin-Ying Lee Ming-Hsuan Yang DiffM MDE 227 37 0 30 Nov 2023
Do text-free diffusion models learn discriminative visual representations?European Conference on Computer Vision (ECCV), 2023 Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Wanrong Zhu Abhinav Shrivastava DiffM 362 23 1 29 Nov 2023
SODA: Bottleneck Diffusion Models for Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023 Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 301 77 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 196 5 0 23 Nov 2023
Siamese Representation Learning for Unsupervised Relation ExtractionEuropean Conference on Artificial Intelligence (ECAI), 2023 Guangxin Zhang Shu Chen SSL 147 2 0 01 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 374 2 0 30 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCell Reports Medicine (Cell Rep Med), 2023 T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 202 4 0 29 Sep 2023
In-Domain GAN Inversion for Faithful Reconstruction and EditabilityIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Jiapeng Zhu Yujun Shen Yinghao Xu Deli Zhao Qifeng Chen Bolei Zhou DiffM 234 9 0 25 Sep 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023 B. U. Demirel Christian Holz AI4TS 217 33 0 23 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology ImagesIEEE Transactions on Medical Imaging (TMI), 2023 Zhiyun Song Penghui Du Junpeng Yan Keqin Li Jianzhong Shou Maode Lai Yubo Fan Yan Xu 236 16 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 250 3 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 295 54 0 29 Aug 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection Oren Shrout Ori Nitzan Yizhak Ben-Shabat A. Tal 3DPC 192 3 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 221 2 0 09 Aug 2023
Learning beyond sensations: how dreams organize neuronal representationsNeuroscience and Biobehavioral Reviews (Neurosci Biobehav Rev), 2023 Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan SSL CLL 187 7 0 03 Aug 2023