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Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
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
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
    VLM
ArXiv (abs)PDFHTML

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

50 / 390 papers shown
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsNeural Information Processing Systems (NeurIPS), 2022
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
252
157
0
05 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
255
0
0
29 Sep 2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence
  Optimization
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Jingyang Lin
Yu Wang
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
OODD
140
3
0
26 Sep 2022
Convergence of score-based generative modeling for general data
  distributions
Convergence of score-based generative modeling for general data distributionsInternational Conference on Algorithmic Learning Theory (ALT), 2022
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
544
169
0
26 Sep 2022
Towards Bridging the Performance Gaps of Joint Energy-based Models
Towards Bridging the Performance Gaps of Joint Energy-based ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Xiulong Yang
Qing Su
Shihao Ji
VLM
286
18
0
16 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained
  Generative Models
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative ModelsNeural Information Processing Systems (NeurIPS), 2022
Chen Henry Wu
Saman Motamed
Shaunak Srivastava
Fernando de la Torre
VLMDiffM
275
38
0
14 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency
  Maps
Interpretations Steered Network Pruning via Amortized Inferred Saliency MapsEuropean Conference on Computer Vision (ECCV), 2022
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
FAttAAML
217
23
0
07 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffMMedIm
1.5K
1,882
0
02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative
  Models
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu
Lemeng Wu
Mao Ye
Qiang Liu
DiffM
208
97
0
31 Aug 2022
Constraining Pseudo-label in Self-training Unsupervised Domain
  Adaptation with Energy-based Model
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based ModelInternational Journal of Intelligent Systems (IJIS), 2022
Lingsheng Kong
Bo Hu
Xiongchang Liu
Jun Lu
Jane You
Xiaofeng Liu
231
13
0
26 Aug 2022
Combating Mode Collapse in GANs via Manifold Entropy Estimation
Combating Mode Collapse in GANs via Manifold Entropy Estimation
Haozhe Liu
Bing Li
Haoqian Wu
Hanbang Liang
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GANDRL
513
9
0
25 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection
Semantic Driven Energy based Out-of-Distribution DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Abhishek Joshi
Sathish Chalasani
K. N. Iyer
OODD
133
4
0
23 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang
Sheng-Min Shih
Yinlin Fu
Xiaoting Zhao
Shihao Ji
DiffM
261
62
0
16 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid
  Model
Joint Optimization of Ranking and Calibration with Contextualized Hybrid ModelKnowledge Discovery and Data Mining (KDD), 2022
Xiang-Rong Sheng
Jingyue Gao
Yueyao Cheng
Siran Yang
Shuguang Han
Hongbo Deng
Yuning Jiang
Jian Xu
Bo Zheng
275
37
0
12 Aug 2022
Composable Text Controls in Latent Space with ODEs
Composable Text Controls in Latent Space with ODEsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Guangyi Liu
Zeyu Feng
Yuan Gao
Zichao Yang
Xiaodan Liang
Junwei Bao
Xiaodong He
Shuguang Cui
Zhen Li
Zhiting Hu
AI4CEDiffM
234
42
0
01 Aug 2022
Task Agnostic and Post-hoc Unseen Distribution Detection
Task Agnostic and Post-hoc Unseen Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Radhika Dua
Seong-sil Yang
Shouqing Yang
Edward Choi
OODD
233
11
0
26 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework
  for Model Monitoring
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model MonitoringIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
230
10
0
22 Jul 2022
Adversarial Training Improves Joint Energy-Based Generative Modelling
Adversarial Training Improves Joint Energy-Based Generative Modelling
Rostislav Korst
Arip Asadulaev
GAN
85
2
0
18 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau
Roy Ganz
Bahjat Kawar
Alex M. Bronstein
Michael Elad
AAMLDiffM
216
34
0
17 Jul 2022
Neural Stein critics with staged $L^2$-regularization
Neural Stein critics with staged L2L^2L2-regularizationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Matthew Repasky
Xiuyuan Cheng
Yao Xie
198
3
0
07 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionEuropean Conference on Computer Vision (ECCV), 2022
Matej Grcić
Petra Bevandić
Sinivsa vSegvić
152
65
0
06 Jul 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual
  Question Answering
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering
Violetta Shevchenko
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
Damien Teney
243
0
0
29 Jun 2022
Your Autoregressive Generative Model Can be Better If You Treat It as an
  Energy-Based One
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
Yezhen Wang
Tong Che
Yue Liu
Kaitao Song
Hengzhi Pei
Yoshua Bengio
Dongsheng Li
207
5
0
26 Jun 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation
Neural Implicit Manifold Learning for Topology-Aware Density Estimation
Brendan Leigh Ross
Gabriel Loaiza-Ganem
M. Volkovs
Jesse C. Cresswell
AI4CE
259
5
0
22 Jun 2022
A Langevin-like Sampler for Discrete Distributions
A Langevin-like Sampler for Discrete DistributionsInternational Conference on Machine Learning (ICML), 2022
Ruqi Zhang
Xingchao Liu
Qiang Liu
BDL
160
46
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
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core QuantitiesInternational Conference on Machine Learning (ICML), 2022
Julian Bitterwolf
Alexander Meinke
Maximilian Augustin
Matthias Hein
OODD
206
32
0
20 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain
  Generalization
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
Junchi Yu
Jian Liang
Xiao-Yu Zhang
OOD
200
14
0
19 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Xiaohua Xie
Yin Li
Yong Jae Lee
95
1
0
13 Jun 2022
Convergence for score-based generative modeling with polynomial
  complexity
Convergence for score-based generative modeling with polynomial complexityNeural Information Processing Systems (NeurIPS), 2022
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
237
172
0
13 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Latent Diffusion Energy-Based Model for Interpretable Text ModelingInternational Conference on Machine Learning (ICML), 2022
Peiyu Yu
Sirui Xie
Xiaojian Ma
Baoxiong Jia
Bo Pang
Ruigi Gao
Yixin Zhu
Song-Chun Zhu
Ying Nian Wu
DiffM
266
96
0
13 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation
Exploring Chemical Space with Score-based Out-of-distribution GenerationInternational Conference on Machine Learning (ICML), 2022
Seul Lee
Jaehyeong Jo
Sung Ju Hwang
OODD
427
98
0
06 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
Adversarial Unlearning: Reducing Confidence Along Adversarial DirectionsNeural Information Processing Systems (NeurIPS), 2022
Amrith Rajagopal Setlur
Benjamin Eysenbach
Virginia Smith
Sergey Levine
195
24
0
03 Jun 2022
Guided Diffusion Model for Adversarial Purification
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
508
114
0
30 May 2022
Mitigating Out-of-Distribution Data Density Overestimation in
  Energy-Based Models
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models
Beomsu Kim
Jong Chul Ye
117
1
0
30 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density
  Modeling
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Mitch Hill
Jonathan Mitchell
Chu Chen
Yuan Du
M. Shah
Song-Chun Zhu
200
0
0
24 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial PurificationInternational Conference on Machine Learning (ICML), 2022
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
498
589
0
16 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and
  Normalizing Flow Toward Energy-Based Model
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based ModelInternational Conference on Learning Representations (ICLR), 2022
Jianwen Xie
Y. Zhu
Jilong Li
Ping Li
225
52
0
13 May 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
283
55
0
28 Mar 2022
A Unified Contrastive Energy-based Model for Understanding the
  Generative Ability of Adversarial Training
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2022
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
AAML
228
17
0
25 Mar 2022
Mix and Match: Learning-free Controllable Text Generation using Energy
  Language Models
Mix and Match: Learning-free Controllable Text Generation using Energy Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Fatemehsadat Mireshghallah
Kartik Goyal
Taylor Berg-Kirkpatrick
197
87
0
24 Mar 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
222
8
0
24 Mar 2022
Out of Distribution Detection, Generalization, and Robustness Triangle
  with Maximum Probability Theorem
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem
Amir Emad Marvasti
Ehsan Emad Marvasti
Ulas Bagci
OOD
173
0
0
23 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODDOOD
191
3
0
19 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers
Defending Black-box Skeleton-based Human Activity ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022
He Wang
Yunfeng Diao
Zichang Tan
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389
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09 Mar 2022
Diffusion Causal Models for Counterfactual Estimation
Diffusion Causal Models for Counterfactual EstimationCLEaR (CLEaR), 2022
Pedro Sanchez
Sotirios A. Tsaftaris
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296
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Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Robustness and Accuracy Could Be Reconcilable by (Proper) DefinitionInternational Conference on Machine Learning (ICML), 2022
Tianyu Pang
Min Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
411
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Energy-Based Contrastive Learning of Visual Representations
Energy-Based Contrastive Learning of Visual RepresentationsNeural Information Processing Systems (NeurIPS), 2022
Beomsu Kim
Jong Chul Ye
238
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Modeling Structure with Undirected Neural Networks
Modeling Structure with Undirected Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Tsvetomila Mihaylova
Vlad Niculae
André F. T. Martins
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108
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Learning Representation from Neural Fisher Kernel with Low-rank
  Approximation
Learning Representation from Neural Fisher Kernel with Low-rank ApproximationInternational Conference on Learning Representations (ICLR), 2022
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Shuangfei Zhai
Etai Littwin
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180
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OODD
217
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