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
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection Jaeyoung Kim Seo Taek Kong Dongbin Na Kyu-Hwan Jung OODD 16 4 0 26 Dec 2022
Detecting Objects with Context-Likelihood Graphs and Graph Refinement Aritra Bhowmik Yu Wang N. Baka Martin R. Oswald Cees G. M. Snoek 24 2 0 23 Dec 2022
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 28 6 0 09 Dec 2022
PROB: Probabilistic Objectness for Open World Object Detection O. Zohar Kuan-Chieh Jackson Wang Serena Yeung 9 58 0 02 Dec 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference Yabin Wang Zhiheng Ma Zhiwu Huang Yaowei Wang Zhou Su Xiaopeng Hong 23 40 0 29 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip H. S. Torr 28 8 0 27 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 21 16 0 25 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 6 0 0 21 Nov 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 24 10 0 16 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection Silvio Galesso Max Argus Thomas Brox UQCV 30 11 0 12 Nov 2022
Self-Adapting Noise-Contrastive Estimation for Energy-Based Models Na Xu 6 2 0 03 Nov 2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness Chaowei Xiao Zhongzhu Chen Kun Jin Jiong Wang Weili Nie Mingyan D. Liu Anima Anandkumar Bo-wen Li D. Song DiffM 38 35 0 01 Nov 2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill Erik Nijkamp Jonathan Mitchell Bo Pang Song-Chun Zhu 91 11 0 29 Oct 2022
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference Pierre Glaser Michael Arbel Samo Hromadka Arnaud Doucet A. Gretton 30 2 0 26 Oct 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Richard I. Hartley Peter Tu AAML 21 5 0 26 Oct 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Yuanmeng Yan Weiran Xu OODD 19 3 0 17 Oct 2022
Maximum entropy exploration in contextual bandits with neural networks and energy based models A. Elwood Marco Leonardi A. Mohamed A. Rozza 16 1 0 12 Oct 2022
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu Haoran Liu Shuiwang Ji 24 5 0 11 Oct 2022
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 78 50 0 09 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 33 117 0 05 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 26 0 0 29 Sep 2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization Jingyang Lin Yu Wang Qi Cai Yingwei Pan Ting Yao Hongyang Chao Tao Mei OODD 28 3 0 26 Sep 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 191 128 0 26 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models Xiulong Yang Qing Su Shihao Ji VLM 8 12 0 16 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu Saman Motamed Shaunak Srivastava Fernando de la Torre VLM DiffM 21 34 0 14 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang FAtt AAML 24 19 0 07 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 28 79 0 31 Aug 2022
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model Lingsheng Kong Bo Hu Xiongchang Liu Jun Lu Jane You Xiaofeng Liu 26 12 0 26 Aug 2022
Combating Mode Collapse in GANs via Manifold Entropy Estimation Haozhe Liu Bing Li Haoqian Wu Hanbang Liang Yawen Huang Yuexiang Li Bernard Ghanem Yefeng Zheng GAN DRL 25 9 0 25 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 29 4 0 23 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 25 56 0 16 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model Xiang-Rong Sheng Jingyue Gao Yueyao Cheng Siran Yang Shuguang Han Hongbo Deng Yuning Jiang Jian Xu Bo Zheng 8 26 0 12 Aug 2022
Composable Text Controls in Latent Space with ODEs Guangyi Liu Zeyu Feng Yuan Gao Zichao Yang Xiaodan Liang Junwei Bao Xiaodong He Shuguang Cui Zhen Li Zhiting Hu AI4CE DiffM 33 32 0 01 Aug 2022
Task Agnostic and Post-hoc Unseen Distribution Detection Radhika Dua Seong-sil Yang Yixuan Li E. Choi OODD 11 10 0 26 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 15 5 0 22 Jul 2022
Adversarial Training Improves Joint Energy-Based Generative Modelling Rostislav Korst Arip Asadulaev GAN 11 1 0 18 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 27 26 0 17 Jul 2022
Neural Stein critics with staged $L^2$ -regularization Matthew Repasky Xiuyuan Cheng Yao Xie 19 3 0 07 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 29 54 0 06 Jul 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering Violetta Shevchenko Ehsan Abbasnejad A. Dick Anton Van Den Hengel Damien Teney 49 0 0 29 Jun 2022
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One Yezhen Wang Tong Che Bo-wen Li Kaitao Song Hengzhi Pei Yoshua Bengio Dongsheng Li 26 3 0 26 Jun 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross G. Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 33 2 0 22 Jun 2022
A Langevin-like Sampler for Discrete Distributions Ruqi Zhang Xingchao Liu Qiang Liu BDL 21 37 0 20 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 15 25 0 20 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 23 11 0 19 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning Z. Yu Yin Li Yong Jae Lee 14 0 0 13 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 18 126 0 13 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 34 81 0 13 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo Sung Ju Hwang OODD 30 75 0 06 Jun 2022