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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
Learning Energy-based Model via Dual-MCMC TeachingNeural Information Processing Systems (NeurIPS), 2023 Jiali Cui Tian Han 220 12 0 05 Dec 2023
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly DetectionIEEE International Conference on Data Engineering (ICDE), 2023 Feiyi Chen Yingying Zhang Zhen Qin Lunting Fan Renhe Jiang Yuxuan Liang Qingsong Wen Shuiguang Deng AI4TS 259 9 0 26 Nov 2023
TEA: Test-time Energy AdaptationComputer Vision and Pattern Recognition (CVPR), 2023 Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 271 26 0 24 Nov 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy FunctionKnowledge-Based Systems (KBS), 2023 Seonghak Kim Gyeongdo Ham Suin Lee Donggon Jang Daeshik Kim 589 9 0 24 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road AutonomyIEEE Transactions on robotics (TRO), 2023 Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 279 54 0 10 Nov 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 190 16 0 28 Oct 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery ApproachNeural Information Processing Systems (NeurIPS), 2023 Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 259 17 0 28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial PurificationNeural Information Processing Systems (NeurIPS), 2023 Mintong Kang Basel Alomair Yue Liu 284 47 0 27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yingwen Wu Tao Li Xinwen Cheng Jie Yang Xiaolin Huang OODD 198 8 0 26 Oct 2023
Elucidating The Design Space of Classifier-Guided Diffusion GenerationInternational Conference on Learning Representations (ICLR), 2023 Jiajun Ma Tianyang Hu Wei Cao Jiacheng Sun 248 19 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 266 5 0 10 Oct 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly DetectionThe Web Conference (WWW), 2023 Feiyi Chen Zhen Qin Yingying Zhang Shuiguang Deng Lunting Fan Guansong Pang Qingsong Wen AI4TS 240 14 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2023 Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 254 18 0 09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio ScoreConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Haowei Lin Yuntian Gu OODD 204 9 0 08 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMCNeural Information Processing Systems (NeurIPS), 2023 Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 188 14 0 05 Oct 2023
Online Proactive Multi-Task Assignment with Resource Availability Anticipation Déborah Conforto Nedelmann Jérome Lacan Caroline Ponzoni Carvalho Chanel 81 1 0 03 Oct 2023
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisIEEE International Conference on Computer Vision (ICCV), 2023 Nithin Gopalakrishnan Nair A. Cherian Suhas Lohit Ye Wang T. Koike-Akino Vishal M. Patel Tim K. Marks DiffM 238 22 0 30 Sep 2023
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models Sanghwan Kim Hao Tang Fisher Yu VLM CLIP 227 5 0 28 Sep 2023
The Triad of Failure Modes and a Possible Way Out Emanuele Sansone 198 2 0 27 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 354 3 0 19 Sep 2023
Language Guided Adversarial PurificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Himanshu Singh A. V. Subramanyam AAML 154 2 0 19 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in SegmentationNeural Information Processing Systems (NeurIPS), 2023 Zhitong Gao Shipeng Yan Xuming He OOD OODD 267 15 0 12 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodInternational Conference on Learning Representations (ICLR), 2023 Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 674 16 0 10 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 296 1 0 05 Sep 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based ModelsNeural Information Processing Systems (NeurIPS), 2023 Tobias Schröder Chinmay Pani Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 329 12 0 12 Jul 2023
Enhancing Adversarial Robustness via Score-Based OptimizationNeural Information Processing Systems (NeurIPS), 2023 Boya Zhang Weijian Luo Zhihua Zhang DiffM 322 16 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 223 1 0 09 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Hao Sun Zhihua Zhang DiffM 279 8 0 04 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 339 1 0 29 Jun 2023
Learning non-Markovian Decision-Making from State-only SequencesNeural Information Processing Systems (NeurIPS), 2023 Aoyang Qin Feng Gao Qing Li Song-Chun Zhu Sirui Xie 257 12 0 27 Jun 2023
Learning Unnormalized Statistical Models via Compositional OptimizationInternational Conference on Machine Learning (ICML), 2023 Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 328 6 0 13 Jun 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution ShiftingConference on Uncertainty in Artificial Intelligence (UAI), 2023 Deqian Kong Bo Pang Tian Han Ying Nian Wu DiffM 190 6 0 09 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 189 12 0 08 Jun 2023
Energy-Based Models for Cross-Modal Localization using Convolutional TransformersIEEE International Conference on Robotics and Automation (ICRA), 2023 Alan Wu Michael S. Ryoo 296 3 0 06 Jun 2023
On the Effectiveness of Hybrid Mutual Information Estimation Marco Federici David Ruhe Patrick Forré 289 7 0 01 Jun 2023
Constructing Semantics-Aware Adversarial Examples with Probabilistic PerspectiveNeural Information Processing Systems (NeurIPS), 2023 Andi Zhang Mingtian Zhang Damon J. Wischik GAN AAML 205 1 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski EqualityNeural Information Processing Systems (NeurIPS), 2023 D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 276 13 0 30 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold RobustnessNeural Information Processing Systems (NeurIPS), 2023 Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 333 16 0 30 May 2023
Beyond Confidence: Reliable Models Should Also Consider AtypicalityNeural Information Processing Systems (NeurIPS), 2023 Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 229 27 0 29 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionInternational Conference on Machine Learning (ICML), 2023 Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 443 12 0 26 May 2023
Robust Classification via a Single Diffusion ModelInternational Conference on Machine Learning (ICML), 2023 Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 326 79 0 24 May 2023
Real time dense anomaly detection by learning on synthetic negative data Anja Delić Matej Grcić Sinivsa vSegvić 109 0 0 24 May 2023
Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech RecognitionInterspeech (Interspeech), 2023 Hong Liu Z. Lv Zhijian Ou Wenbo Zhao Qing Xiao 163 1 0 22 May 2023
Variational Classification Shehzaad Dhuliawala Mrinmaya Sachan Carl Allen BDL 301 8 0 17 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowConference on Uncertainty in Artificial Intelligence (UAI), 2023 Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 226 10 0 16 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 153 2 0 15 May 2023
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax LayerIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Hideaki Hayashi 212 6 0 10 May 2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion Nicholas Konz Haoyu Dong Maciej A. Mazurowski 199 4 0 04 May 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement N. Gkanatsios Ayush Jain Zhou Xian Yunchu Zhang C. Atkeson Katerina Fragkiadaki LM&Ro 394 43 0 27 Apr 2023
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training Emanuele Sansone Robin Manhaeve BDL FedML GAN 277 6 0 22 Apr 2023