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
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 28 3 0 13 Jun 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting Deqian Kong Bo Pang Tian Han Ying Nian Wu DiffM 35 7 0 09 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 32 9 0 08 Jun 2023
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers Alan Wu Michael S. Ryoo 33 3 0 06 Jun 2023
On the Effectiveness of Hybrid Mutual Information Estimation Marco Federici David Ruhe Patrick Forré 13 5 0 01 Jun 2023
Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective Andi Zhang Mingtian Zhang Damon J. Wischik GAN AAML 16 1 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 21 4 0 30 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 25 11 0 30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 32 20 0 29 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 35 10 0 26 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang X. Yang Chen-Dong Duan Hang Su Jun Zhu 74 56 0 24 May 2023
Real time dense anomaly detection by learning on synthetic negative data Anja Delić Matej Grcić Sinivsa vSegvić 16 0 0 24 May 2023
Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition Hong Liu Z. Lv Zhijian Ou Wenbo Zhao Qing Xiao 22 0 0 22 May 2023
Variational Classification S. Dhuliawala Mrinmaya Sachan Carl Allen BDL 17 5 0 17 May 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 57 6 0 16 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 27 2 0 15 May 2023
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer Hideaki Hayashi 38 3 0 10 May 2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion N. Konz Haoyu Dong Maciej Mazurowski 13 2 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 98 31 0 27 Apr 2023
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training Emanuele Sansone Robin Manhaeve BDL FedML GAN 26 5 0 22 Apr 2023
Persistently Trained, Diffusion-assisted Energy-based Models Xinwei Zhang Z. Tan Zhijian Ou DiffM 4 2 0 21 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 29 13 0 10 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 26 1 0 08 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi-Xin Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 17 6 0 04 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 30 0 0 03 Apr 2023
Invertible Convolution with Symmetric Paddings B. Li 17 0 0 30 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 43 224 0 28 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 27 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 24 10 0 13 Mar 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 35 7 0 13 Mar 2023
M-EBM: Towards Understanding the Manifolds of Energy-Based Models Xiulong Yang Shihao Ji 27 2 0 08 Mar 2023
Stabilized training of joint energy-based models and their practical applications Martin Sustek Samik Sadhu L. Burget H. Hermansky Jesus Villalba Laureano Moro Velázquez Najim Dehak AAML VLM 18 1 0 07 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 31 1 0 05 Mar 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators Keane Lucas Matthew Jagielski Florian Tramèr Lujo Bauer Nicholas Carlini AAML 30 9 0 27 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 32 130 0 22 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Tianran Ouyang Cees G. M. Snoek TTA 48 17 0 22 Feb 2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks Ethan Goan Dimitri Perrin Kerrie Mengersen Clinton Fookes 28 0 0 17 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 21 57 0 06 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 21 8 0 02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 17 0 0 01 Feb 2023
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization Omead Brandon Pooladzandi Pasha Khosravi Erik Nijkamp Baharan Mirzasoleiman SyDa 12 2 0 31 Jan 2023
Learning Data Representations with Joint Diffusion Models Kamil Deja Tomasz Trzciñski Jakub M. Tomczak DiffM 24 15 0 31 Jan 2023
A Deep Learning Method for Comparing Bayesian Hierarchical Models Lasse Elsemüller Martin Schnuerch Paul-Christian Burkner Stefan T. Radev BDL 17 9 0 27 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 16 6 0 19 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 11 4 0 15 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 20 9 0 27 Dec 2022
The Forward-Forward Algorithm: Some Preliminary Investigations Geoffrey E. Hinton 11 258 0 27 Dec 2022