Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One

6 December 2019

Will Grathwohl

Kuan-Chieh Jackson Wang

Papers citing "Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One"

50 / 360 papers shown

Title
Unified Molecule Generation and Property Prediction Adam Izdebski Jan Olszewski Pankhil Gawade Krzysztof Koras Serra Korkmaz Valentin Rauscher Jakub M. Tomczak E. Szczurek 33 0 0 23 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 66 0 0 22 Apr 2025
Energy-Based Reward Models for Robust Language Model Alignment Anamika Lochab Ruqi Zhang 135 0 0 17 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 33 0 0 15 Apr 2025
Progressive Test Time Energy Adaptation for Medical Image Segmentation Xiaoran Zhang Byung-Woo Hong Hyoungseob Park Daniel H. Pak Anne-Marie Rickmann Lawrence H. Staib James S. Duncan Alex Wong OOD MedIm 57 0 0 20 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 85 2 0 04 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 75 1 0 27 Feb 2025
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories Hongzhe Cheng Tianyou Zheng Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi DiffM 55 0 0 23 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 68 0 0 18 Feb 2025
A Survey of Text Classification Under Class Distribution Shift Adriana Valentina Costache Silviu Florin Gheorghe Eduard Poesina Paul Irofti Radu Tudor Ionescu OOD VLM 60 0 0 18 Feb 2025
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 127 5 0 17 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 110 0 0 09 Feb 2025
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Rini Smita Thakur Vinod K. Kurmi UQCV 31 1 0 03 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xiaomeng Li 74 9 0 03 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yiru Wang C. Zhao 61 3 0 03 Jan 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 39 0 0 03 Jan 2025
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching András Balogh Márk Jelasity 85 0 0 15 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 137 2 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 77 0 0 29 Nov 2024
Vision-Language Navigation with Energy-Based Policy Rui Liu Wenguan Wang Y. Yang 40 3 0 18 Oct 2024
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 75 6 0 17 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 19 0 0 14 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 35 2 0 13 Oct 2024
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
LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection Mingjia Li Hao Zhao Xiaojie Guo ObjD 32 2 0 11 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 34 0 0 04 Oct 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models Andrei Margeloiu Xiangjian Jiang Nikola Simidjievski M. Jamnik 35 5 0 24 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
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 30 0 0 13 Sep 2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? Christiaan G. A. Viviers Amaan Valiuddin Francisco Caetano Lemar Abdi Lena Filatova Peter H. N. de With Fons van der Sommen OOD OODD 29 1 0 04 Sep 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 51 0 0 16 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 37 6 0 12 Aug 2024
Cluster-Wide Task Slowdown Detection in Cloud System Feiyi Chen Yingying Zhang Lunting Fan Yuxuan Liang Guansong Pang Qingsong Wen Shuiguang Deng 34 1 0 08 Aug 2024
Source-Free Domain-Invariant Performance Prediction Ekaterina Khramtsova Mahsa Baktashmotlagh Guido Zuccon Xi Wang Mathieu Salzmann UQCV 40 1 0 05 Aug 2024
Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model Yuanbo Wen Tao Gao Ting Chen DiffM 32 2 0 24 Jul 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Junn Yong Loo Michelle Adeline Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan DiffM 38 0 0 21 Jul 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
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 31 1 0 05 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 Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies Md Mirajul Islam Xi Yang J. Hostetter Adittya Soukarjya Saha Min Chi 29 1 0 04 Jun 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 48 5 0 27 May 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination Shelly Golan Roy Ganz Michael Elad 21 0 0 25 May 2024
Learning Latent Space Hierarchical EBM Diffusion Models Jiali Cui Tian Han DiffM 45 1 0 22 May 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao Chien Feng Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee 41 1 0 22 May 2024
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory Xueyan Niu Bo Bai Lei Deng Wei Han 36 6 0 14 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 29 0 0 05 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 43 10 0 02 May 2024