v1v2v3 (latest)

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
Artificial Kuramoto Oscillatory NeuronsInternational Conference on Learning Representations (ICLR), 2024 Takeru Miyato Sindy Löwe Andreas Geiger Max Welling AI4CE 636 20 0 17 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Minyoung Kim Timothy M. Hospedales BDL 272 1 0 14 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin DynamicsInternational Conference on Learning Representations (ICLR), 2024 Omar Chehab Anna Korba Austin Stromme Adrien Vacher 458 9 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 307 1 0 12 Oct 2024
LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection Mingjia Li Hao Zhao Xiaojie Guo ObjD 373 3 0 11 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 296 1 0 04 Oct 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based ModelsNeural Information Processing Systems (NeurIPS), 2024 Andrei Margeloiu Xiangjian Jiang Nikola Simidjievski M. Jamnik 333 9 0 24 Sep 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized VectorsAsian Conference on Computer Vision (ACCV), 2024 Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 291 6 0 22 Sep 2024
Sub-graph Based Diffusion Model for Link PredictionLOG IN (LOG IN), 2024 Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Shucheng Zhou DiffM 219 1 0 13 Sep 2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? Christiaan Viviers Amaan Valiuddin Francisco Caetano Lemar Abdi Lena Filatova Peter H. N. de With Fons van der Sommen OOD OODD 228 5 0 04 Sep 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2024 Hefei Mei Minjing Dong Chang Xu AAML 432 1 0 16 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive InformationEuropean Conference on Artificial Intelligence (ECAI), 2024 Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 257 10 0 12 Aug 2024
Cluster-Wide Task Slowdown Detection in Cloud SystemKnowledge Discovery and Data Mining (KDD), 2024 Feiyi Chen Yingying Zhang Lunting Fan Yuxuan Liang Guansong Pang Qingsong Wen Shuiguang Deng 253 3 0 08 Aug 2024
Source-Free Domain-Invariant Performance PredictionEuropean Conference on Computer Vision (ECCV), 2024 Ekaterina Khramtsova Mahsa Baktashmotlagh Guido Zuccon Xi Wang Mathieu Salzmann UQCV 238 1 0 05 Aug 2024
Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model Yuanbo Wen Tao Gao Ting Chen DiffM 164 10 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 258 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 404 7 0 08 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Lin Wang AAML 215 3 0 05 Jul 2024
CALICO: Confident Active Learning with Integrated Calibration L. S. Querol Hajime Nagahara Hideaki Hayashi 245 2 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 199 1 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 167 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 207 2 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 316 9 0 27 May 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination Shelly Golan Roy Ganz Michael Elad 181 2 0 25 May 2024
Learning Latent Space Hierarchical EBM Diffusion Models Jiali Cui Tian Han DiffM 297 5 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 252 13 0 22 May 2024
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory Xueyan Niu Bo Bai Lei Deng Wei Han 209 14 0 14 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of ClassifiersInternational Conference on Machine Learning (ICML), 2024 Johann Schmidt Sebastian Stober 260 4 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 144 1 0 05 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 668 17 0 02 May 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets Yang Ye Shihao Ji PINN 3DPC 217 1 0 19 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 319 56 0 17 Apr 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 144 0 0 15 Apr 2024
Struggle with Adversarial Defense? Try Diffusion Yujie Li Yanbin Wang Peiyue Li Bin Liu Jianguo Sun Yifan Jia Wenrui Ma DiffM 242 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 173 12 0 01 Apr 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell M. Volkovs Rahul G. Krishnan Gabriel Loaiza-Ganem OODD 343 14 0 27 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 194 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 Yue Liu DiffM 426 5 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 223 27 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 272 44 0 05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 396 41 0 02 Feb 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 188 3 0 09 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 257 7 0 28 Dec 2023
Energy-based learning algorithms for analog computing: a comparative study B. Scellier M. Ernoult Jack D. Kendall Suhas Kumar 267 43 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 343 290 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 Leilei Gan OOD 220 5 0 18 Dec 2023
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals Patrick Altmeyer Mojtaba Farmanbar A. V. Deursen Cynthia C. S. Liem 152 6 0 17 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 676 5 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 251 11 0 06 Dec 2023
Generator Born from ClassifierNeural Information Processing Systems (NeurIPS), 2023 Runpeng Yu Xinchao Wang 163 4 0 05 Dec 2023