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

International Conference on Learning Representations (ICLR), 2019

6 December 2019

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

50 / 390 papers shown

Title
MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding Mengchun Zhang Kateryna Shapovalenko Yucheng Shao Eddie Guo Parusha Pradhan DiffM 84 0 0 23 Nov 2025
ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Boshu Lei Wen Jiang Kostas Daniilidis 116 0 0 16 Nov 2025
ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting Xiang Ma Taihua Chen Pengcheng Wang Xuemei Li Caiming Zhang AI4TS 82 0 0 15 Nov 2025
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning Thore Gerlach Michael Schenk Verena Kain 112 0 0 06 Nov 2025
Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation Bingyan Xie Yongpeng Wu Yuxuan Shi Biqian Feng Wenjun Zhang Jihong Park Tony Q. S. Quek DiffM VGen 168 0 0 04 Nov 2025
Energy Loss Functions for Physical Systems Sékou-Oumar Kaba Kusha Sareen Daniel Levy Siamak Ravanbakhsh PINN AI4CE 234 0 0 03 Nov 2025
A Retrospect to Multi-prompt Learning across Vision and LanguageIEEE International Conference on Computer Vision (ICCV), 2023 Ziliang Chen Xin Huang Quanlong Guan Liang Lin Weiqi Luo VPVLM VLM 373 10 0 31 Oct 2025
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems Victoria Hodge Colin Paterson Ibrahim Habli 88 0 0 24 Oct 2025
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection Xin Gao Jiyao Liu Guanghao Li Yueming Lyu Jianxiong Gao ... Ningsheng Xu Liang Wang Caifeng Shan Ziwei Liu Chenyang Si 203 0 0 20 Oct 2025
Particle Dynamics for Latent-Variable Energy-Based Models Shiqin Tang Shuxin Zhuang Rong Feng Runsheng Yu Hongzong Li Youzhi Zhang 171 0 0 17 Oct 2025
Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics Joanna Marks Tim Y. J. Wang O. Deniz Akyildiz 136 1 0 14 Oct 2025
Joint Discriminative-Generative Modeling via Dual Adversarial Training Xuwang Yin Claire Zhang Julie Steele Nir Shavit T. T. Wang GAN 396 0 0 13 Oct 2025
Uniform-in-time convergence bounds for Persistent Contrastive Divergence Algorithms Paul Felix Valsecchi Oliva O.Deniz Akyildiz Andrew Duncan 100 3 0 02 Oct 2025
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models Runqian Wang Yilun Du DiffM 869 3 0 02 Oct 2025
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling Minghui Li Hao Zhang Yechao Zhang Wei Wan Shengshan Hu Pei Xiaobing Jing Wang SILM AAML 136 0 0 09 Sep 2025
Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare Ravi Shankar Sheng Wong Lin Li Magdalena Bachmann Alex Silverthorne Beth Albert Gabriel Davis Jones 149 0 0 31 Aug 2025
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation Chenzhi Liu Mahsa Baktashmotlagh Yanran Tang Zi Huang Ruihong Qiu 100 0 0 27 Aug 2025
GraphTorque: Torque-Driven Rewiring Graph Neural Network Sujia Huang Lele Fu Zhen Cui Tong Zhang Na Song Bo Huang 205 0 0 29 Jul 2025
Test-Time Canonicalization by Foundation Models for Robust Perception Utkarsh Singhal Ryan Feng Stella X. Yu Atul Prakash 237 2 0 14 Jul 2025
EnCoBo: Energy-Guided Concept Bottlenecks for Interpretable Generation Sangwon Kim Kyoungoh Lee Jeyoun Dong Jung Hwan Ahn Kwang-Ju Kim 128 0 0 11 Jul 2025
Time-dependent density estimation using binary classifiers Agnimitra Dasgupta Javier Murgoitio-Esandi Ali Fardisi Assad A. Oberai 163 0 0 18 Jun 2025
Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition KernelsBollettino dell'Unione Matematica Italiana (Boll. Un. Mat. Ital.), 2025 Davide Carbone DiffM 161 1 0 09 Jun 2025
A Certified Unlearning Approach without Access to Source Data Umit Yigit Basaran Sk. Miraj Ahmed Amit K. Roy-Chowdhury Başak Güler MU 219 3 0 06 Jun 2025
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head GenerationComputer Vision and Pattern Recognition (CVPR), 2025 Yuan Gan Jiaxu Miao Yunze Wang Yi Yang AAML DiffM 154 2 0 02 Jun 2025
Understanding Adversarial Training with Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Filippo Bartolucci Senad Beadini G. Lisanti I. Masi AAML 269 0 0 28 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 212 1 0 28 May 2025
BindEnergyCraft: Casting Protein Structure Predictors as Energy-Based Models for Binder Design Divya Nori Anisha Parsan Caroline Uhler Wengong Jin 166 2 0 27 May 2025
Energy-based Preference Optimization for Test-time Adaptation Yewon Han Seoyun Yang Taesup Kim TTA 534 0 0 26 May 2025
Discrete Markov Bridge Hengli Li Yuxuan Wang Song-Chun Zhu Ying Nian Wu Zilong Zheng DiffM 202 0 0 26 May 2025
Learning to Rank Chain-of-Thought: Using a Small Model Eric Hanchen Jiang Haozheng Luo Shengyuan Pang Xiaomin Li Zhenting Qi ... Zongyu Lin Xinfeng Li Hao Xu Kai-Wei Chang Ying Nian Wu LRM 413 2 0 21 May 2025
Generative AI for Autonomous Driving: A Review Katharina Winter Abhishek Vivekanandan Rupert Polley Yinzhe Shen Christian Schlauch ... J. Dietrich Omer Sahin Tas Nadja Klein Fabian B. Flohr Hanno Gottschalk 404 3 0 21 May 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 279 1 0 22 Apr 2025
Energy-Based Reward Models for Robust Language Model Alignment Anamika Lochab Ruqi Zhang 960 1 0 17 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 256 1 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 219 2 0 20 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 556 6 0 04 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problemNeural Information Processing Systems (NeurIPS), 2025 Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 351 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 224 0 0 23 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 305 1 0 18 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 263 1 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 381 17 0 17 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent GenerationInternational Conference on Learning Representations (ICLR), 2025 Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 885 12 0 09 Feb 2025
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 Rini Smita Thakur Vinod K. Kurmi UQCV 299 3 0 03 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban ScenesAAAI Conference on Artificial Intelligence (AAAI), 2023 Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 627 8 0 03 Jan 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time AdaptationNeural Information Processing Systems (NeurIPS), 2025 Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 251 1 0 03 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic InterpretationsInternational Conference on Learning Representations (ICLR), 2024 Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xuelong Li 628 28 0 03 Jan 2025
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct MatchingAAAI Conference on Artificial Intelligence (AAAI), 2024 András Balogh Márk Jelasity 222 2 0 15 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 515 8 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 560 1 0 29 Nov 2024
Vision-Language Navigation with Energy-Based PolicyNeural Information Processing Systems (NeurIPS), 2024 Rui Liu Wenguan Wang Yue Yang 209 16 0 18 Oct 2024