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
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets Yang Ye Shihao Ji PINN 3DPC 41 0 0 19 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 63 23 0 17 Apr 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 31 0 0 15 Apr 2024
Struggle with Adversarial Defense? Try Diffusion Yujie Li Yanbin Wang Haitao Xu Bin Liu Jianguo Sun Zhenhao Guo Wenrui Ma DiffM 29 1 0 12 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 39 5 0 01 Apr 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan G. Loaiza-Ganem OODD 26 9 0 27 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 33 0 0 15 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 27 2 0 04 Mar 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 29 11 0 14 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 58 22 0 05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 51 20 0 02 Feb 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 29 1 0 09 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 23 3 0 28 Dec 2023
Energy-based learning algorithms for analog computing: a comparative study B. Scellier M. Ernoult Jack D. Kendall Suhas Kumar 25 26 0 22 Dec 2023
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint Wei Xiong Hanze Dong Chen Ye Ziqi Wang Han Zhong Heng Ji Nan Jiang Tong Zhang OffRL 38 157 0 18 Dec 2023
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction Yemin Yu Luotian Yuan Ying Wei Hanyu Gao Xinhai Ye Zhihua Wang Fei Wu OOD 31 3 0 18 Dec 2023
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals Patrick Altmeyer Mojtaba Farmanbar A. V. Deursen Cynthia C. S. Liem 32 2 0 17 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 59 3 0 15 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion Weitao Du Jiujiu Chen Xuecang Zhang Zhiming Ma Shengchao Liu DiffM 27 9 0 06 Dec 2023
Generator Born from Classifier Runpeng Yu Xinchao Wang 32 4 0 05 Dec 2023
Learning Energy-based Model via Dual-MCMC Teaching Jiali Cui Tian Han 24 10 0 05 Dec 2023
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection Feiyi Chen Yingying Zhang Zhen Qin Lunting Fan Renhe Jiang Yuxuan Liang Qingsong Wen Shuiguang Deng AI4TS 25 4 0 26 Nov 2023
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
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function Seonghak Kim Gyeongdo Ham Suin Lee Donggon Jang Daeshik Kim 28 2 0 24 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 24 32 0 10 Nov 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 34 10 0 28 Oct 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 21 12 0 28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang D. Song Bo-wen Li 35 22 0 27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie-jin Yang Xiaolin Huang OODD 54 3 0 26 Oct 2023
Elucidating The Design Space of Classifier-Guided Diffusion Generation Jiajun Ma Tianyang Hu Wenjia Wang Jiacheng Sun 25 9 0 17 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE Marius Arvinte Cory Cornelius Jason Martin N. Himayat DiffM 46 3 0 10 Oct 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection Feiyi Chen Zhen Qin Yingying Zhang Shuiguang Deng Lunting Fan Guansong Pang Qingsong Wen AI4TS 14 6 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 24 6 0 08 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 29 11 0 05 Oct 2023
Online Proactive Multi-Task Assignment with Resource Availability Anticipation Déborah Conforto Nedelmann Jérome Lacan Caroline Ponzoni Carvalho Chanel 24 1 0 03 Oct 2023
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis Nithin Gopalakrishnan Nair A. Cherian Suhas Lohit Ye Wang T. Koike-Akino Vishal M. Patel Tim K. Marks DiffM 30 17 0 30 Sep 2023
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models Sanghwan Kim Hao Tang Fisher Yu VLM CLIP 21 4 0 28 Sep 2023
The Triad of Failure Modes and a Possible Way Out Emanuele Sansone 29 2 0 27 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 35 2 0 19 Sep 2023
Language Guided Adversarial Purification Himanshu Singh A. V. Subramanyam AAML 49 2 0 19 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation Zhitong Gao Shipeng Yan Xuming He OOD OODD 22 10 0 12 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 28 11 0 10 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 23 1 0 05 Sep 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 30 4 0 12 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 29 12 0 10 Jul 2023
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance Paul Kuo-Ming Huang Si-An Chen Hsuan-Tien Lin 30 0 0 09 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Z. Li Zhihua Zhang DiffM 19 8 0 04 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction He-Nan Wang Yunfeng Diao AAML 42 1 0 29 Jun 2023
Learning non-Markovian Decision-Making from State-only Sequences Aoyang Qin Feng Gao Qing Li Song-Chun Zhu Sirui Xie 28 9 0 27 Jun 2023