Semi-Supervised Learning with Normalizing Flows

30 December 2019

Papers citing "Semi-Supervised Learning with Normalizing Flows"

50 / 76 papers shown

Title
Hierarchical clustering with maximum density paths and mixture models Martin Ritzert Polina Turishcheva Laura Hansel Paul Wollenhaupt Marissa A. Weis Alexander S. Ecker 36 0 0 19 Mar 2025
Designing a Conditional Prior Distribution for Flow-Based Generative Models Noam Issachar Mohammad Salama Raanan Fattal Sagie Benaim 89 0 0 13 Feb 2025
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization Mikhail Persiianov Arip Asadulaev Nikita Andreev Nikita Starodubcev Dmitry Baranchuk Anastasis Kratsios Evgeny Burnaev Alexander Korotin 15 0 0 03 Oct 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network Zachariah Carmichael Timothy Redgrave Daniel Gonzalez Cedre Walter J. Scheirer BDL 39 2 0 16 Jul 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 26 1 0 13 Jun 2024
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees Nicolas Beltran-Velez Alessandro Antonio Grande Achille Nazaret A. Kucukelbir David M. Blei 36 3 0 11 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 36 2 0 02 Jun 2024
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data Yuta Sumiya Hayaru Shouno AAML OOD 30 0 0 20 Apr 2024
Learning from Reduced Labels for Long-Tailed Data Meng Wei Zhongnian Li Yong Zhou Xinzheng Xu 21 0 0 25 Mar 2024
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation Xiaoyang Wang H. Bai Limin Yu Yao-Min Zhao Jimin Xiao AAML 40 6 0 11 Mar 2024
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 19 10 0 17 Dec 2023
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference Kaiwen Hou 37 0 0 30 Nov 2023
VoiceLens: Controllable Speaker Generation and Editing with Flow Yao Shi Ming Li BDL 25 1 0 25 Sep 2023
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks Bangti Jin Zehui Zhou Jun Zou 26 3 0 18 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 11 4 0 05 Jun 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 40 7 0 26 May 2023
Normalizing flow sampling with Langevin dynamics in the latent space Florentin Coeurdoux N. Dobigeon P. Chainais DRL 15 7 0 20 May 2023
Piecewise Normalizing Flows H. Bevins Will Handley Thomas Gessey-Jones 24 0 0 04 May 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 32 7 0 26 Mar 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 18 0 0 19 Feb 2023
On Sampling with Approximate Transport Maps Louis Grenioux Alain Durmus Eric Moulines Marylou Gabrié OT 22 15 0 09 Feb 2023
Learning from Stochastic Labels Menglong Wei Zhongnian Li Yong Zhou Qiaoyu Guo Xinzheng Xu 11 0 0 01 Feb 2023
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer Kangchen Zhu Zhiliang Tian Ruifeng Luo Xiaoguang Mao OOD 18 3 0 19 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 17 10 0 28 Nov 2022
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 14 46 0 20 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning Zhongying Deng Rihuan Ke Carola-Bibiane Schonlieb Angelica I Aviles-Rivero 17 0 0 17 Nov 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 28 117 0 05 Oct 2022
Training Normalizing Flows from Dependent Data Matthias Kirchler C. Lippert Marius Kloft TPM 16 2 0 29 Sep 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 11 13 0 28 Sep 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 53 15 0 19 Sep 2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction Yidong Wang Hao Wu Ao Liu Wenxin Hou Zhen Wu Jindong Wang T. Shinozaki Manabu Okumura Yue Zhang 25 3 0 17 Aug 2022
A biology-driven deep generative model for cell-type annotation in cytometry Quentin Blampey N. Bercovici C. Dutertre I. Pic F. André J. M. Ribeiro P. Cournède 16 3 0 11 Aug 2022
Constructing Balance from Imbalance for Long-tailed Image Recognition Yue Xu Yong-Lu Li Jiefeng Li Cewu Lu CVBM 22 29 0 04 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 27 22 0 03 Aug 2022
Towards Accurate Open-Set Recognition via Background-Class Regularization Wonwoong Cho Jaegul Choo BDL 11 17 0 21 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 22 39 0 06 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 18 7 0 06 Jul 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 22 9 0 23 Jun 2022
Improving VAE-based Representation Learning Mingtian Zhang Tim Z. Xiao Brooks Paige David Barber SSL DRL 10 9 0 28 May 2022
WeaNF: Weak Supervision with Normalizing Flows Andreas Stephan Benjamin Roth 18 0 0 28 Apr 2022
Universal approximation property of invertible neural networks Isao Ishikawa Takeshi Teshima Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 33 29 0 15 Apr 2022
A Deep Learning Approach to Probabilistic Forecasting of Weather Nick Rittler Carlo Graziani Jiali Wang R. Kotamarthi BDL 6 2 0 23 Mar 2022
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Y. Chen 8 3 0 07 Feb 2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation Emma R. Cobian J. Hauenstein Fang Liu Daniele E. Schiavazzi 11 4 0 01 Feb 2022
Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples Nir Diamant Nitsan Sandor A. Bronstein GAN 28 0 0 16 Nov 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 22 32 0 29 Oct 2021
A bridge between features and evidence for binary attribute-driven perfect privacy Paul-Gauthier Noé A. Nautsch D. Matrouf Pierre-Michel Bousquet J. Bonastre 30 6 0 12 Oct 2021
On the expressivity of bi-Lipschitz normalizing flows Alexandre Verine Benjamin Négrevergne F. Rossi Y. Chevaleyre TPM 15 17 0 15 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 14 19 0 24 Jun 2021