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On the Out-of-distribution Generalization of Probabilistic Image Modelling

4 September 2021

Papers citing "On the Out-of-distribution Generalization of Probabilistic Image Modelling"

30 / 30 papers shown

Title
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS Seunghoi Kim Henry F. J. Tregidgo Matteo Figini Chen Jin Sarang Joshi Daniel C. Alexander MedIm 88 0 0 03 Mar 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression Daxin Li Yuanchao Bai Kai Wang Junjun Jiang Xianming Liu Wen Gao VLM 96 0 0 23 Dec 2024
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image Kai Wang Yuanchao Bai Daxin Li Deming Zhai Junjun Jiang Xianming Liu 66 2 0 23 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly Warren Morningstar A. Yu Vipin Chaudhary OODD 93 2 0 02 Oct 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects Nazir Nayal Youssef Shoeb Fatma Güney OODD 82 4 0 10 Sep 2024
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics Shishira R. Maiya Anubhav Gupta M. Gwilliam Max Ehrlich Abhinav Shrivastava 82 3 1 05 Aug 2024
Tackling Structural Hallucination in Image Translation with Local Diffusion Seunghoi Kim Chen Jin Tom Diethe Matteo Figini Henry F. J. Tregidgo A. Mullokandov Philip Teare Daniel C. Alexander MedIm 94 7 0 09 Apr 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Andi Zhang Tim Z. Xiao Weiyang Liu Robert Bamler Damon J. Wischik OODD 116 6 0 07 Apr 2024
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 93 16 0 03 Apr 2024
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection Sam Dauncey Chris Holmes Christopher Williams Fabian Falck 103 0 0 03 Mar 2024
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models Joseph Goodier Neill D.F. Campbell DiffM 71 6 0 26 Oct 2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing Ruiyong Sun Andi Zhang Haiming Zhang Jinke Ren Yao Zhu Ruimao Zhang Shuguang Cui Zhen Li OODD 81 1 0 26 May 2023
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling Shishira R. Maiya Sharath Girish Max Ehrlich Hanyu Wang Kwot Sin Lee Patrick Poirson Pengxiang Wu Chen Wang Abhinav Shrivastava VGen 96 43 0 30 Dec 2022
Verified Reversible Programming for Verified Lossless Compression James Townsend Jan-Willem van de Meent 68 0 0 02 Nov 2022
Falsehoods that ML researchers believe about OOD detection Andi Zhang Damon J. Wischik OODD 70 6 0 23 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 87 13 0 19 Oct 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Yuanchao Bai Xianming Liu Kai Wang Xiangyang Ji Xiaoling Wu Wen Gao 83 24 0 11 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming Lu Zhan Ma Fengqing Zhu 91 45 0 27 Aug 2022
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression Yitong Xia Bin Chen Yan Feng Tian-shuo Ge AI4CE 57 0 0 26 Aug 2022
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection Guoxuan Xia C. Bouganis UQCV 78 14 0 15 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 68 29 0 15 Jul 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework Ning Kang Shanzhao Qiu Shifeng Zhang Zhenguo Li Shutao Xia 57 19 0 10 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation Mingtian Zhang Andi Zhang Tim Z. Xiao Yitong Sun Jingyu Sun OODD 54 5 0 08 Jun 2022
Improving VAE-based Representation Learning Mingtian Zhang Tim Z. Xiao Brooks Paige David Barber SSL DRL 78 10 0 28 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 128 14 0 23 May 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities Xin Du Bénédicte Legastelois B. Ganesh A. Rajan Hana Chockler Vaishak Belle Stuart Anderson S. Ramamoorthy AAML 82 6 0 27 Jan 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 71 7 0 13 Jan 2022
A benchmark with decomposed distribution shifts for 360 monocular depth estimation G. Albanis N. Zioulis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras MDE 95 0 0 01 Dec 2021
Lossless Compression with Probabilistic Circuits Hoang Trung-Dung Stephan Mandt Guy Van den Broeck TPM 111 22 0 23 Nov 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 280 1,241 0 02 Mar 2021