JEM++: Improved Techniques for Training JEM

19 September 2021

Papers citing "JEM++: Improved Techniques for Training JEM"

21 / 21 papers shown

Title
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 37 0 0 03 Jan 2025
MITA: Bridging the Gap between Model and Data for Test-time Adaptation Yige Yuan Bingbing Xu Teng Xiao Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA 41 0 0 12 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 34 0 0 04 Oct 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 23 0 0 23 Sep 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 30 4 0 22 Sep 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 28 1 0 08 Jul 2024
CALICO: Confident Active Learning with Integrated Calibration L. S. Querol Hajime Nagahara Hideaki Hayashi 25 0 0 02 Jul 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 25 0 0 26 Jun 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 29 1 0 26 Jun 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets Yang Ye Shihao Ji PINN 3DPC 41 0 0 19 Apr 2024
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 31 8 0 24 Nov 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 24 1 0 08 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 30 0 0 03 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
M-EBM: Towards Understanding the Manifolds of Energy-Based Models Xiulong Yang Shihao Ji 21 2 0 08 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
Learning Data Representations with Joint Diffusion Models Kamil Deja Tomasz Trzciñski Jakub M. Tomczak DiffM 22 15 0 31 Jan 2023
Towards Bridging the Performance Gaps of Joint Energy-based Models Xiulong Yang Qing Su Shihao Ji VLM 8 12 0 16 Sep 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 25 56 0 16 Aug 2022
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models Beomsu Kim Jong Chul Ye 11 1 0 30 May 2022
Energy-Based Contrastive Learning of Visual Representations Beomsu Kim Jong Chul Ye 13 16 0 10 Feb 2022