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

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"

16 / 16 papers shown

Title
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 51 4 0 07 Apr 2024
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 47 40 0 30 Dec 2022
Verified Reversible Programming for Verified Lossless Compression James Townsend Jan-Willem van de Meent 27 0 0 02 Nov 2022
Falsehoods that ML researchers believe about OOD detection Andi Zhang Damon J. Wischik OODD 11 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 29 12 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 32 22 0 11 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming Lu Zhan Ma F. Zhu 46 43 0 27 Aug 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 16 27 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 20 17 0 10 Jun 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 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 27 6 0 27 Jan 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 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 40 0 0 01 Dec 2021
Lossless Compression with Probabilistic Circuits Guy Van den Broeck Stephan Mandt Mathias Niepert TPM 11 19 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 54 1,170 0 02 Mar 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016