Gradual Domain Adaptation via Normalizing Flows

23 June 2022

Papers citing "Gradual Domain Adaptation via Normalizing Flows"

50 / 62 papers shown

Title
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 97 6 0 20 Oct 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 151 679 0 31 Jan 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 80 24 0 18 Oct 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 62 8 0 02 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 83 42 0 11 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 88 40 0 11 Jul 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation Jing Dong Shiji Zhou Baoxiang Wang Haiying Zhao OOD 57 7 0 25 Apr 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond Haoxiang Wang Yue Liu Han Zhao OOD CLL 55 38 0 18 Apr 2022
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa H. Hino CLL 47 6 0 09 Feb 2022
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training Hari Prasanna Das Ryan Tran Japjot Singh Yu-Wen Lin C. Spanos OOD 42 11 0 25 Aug 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 58 60 0 18 Aug 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID Yongxing Dai Jun Liu Yifan Sun Zekun Tong Chi Zhang Ling-yu Duan 75 116 0 05 Aug 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng Kui Jia Lei Zhang CLL 77 10 0 18 Jun 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip Torr A. G. Baydin OOD 62 42 0 14 Jun 2021
Online Continual Adaptation with Active Self-Training Shiji Zhou Han Zhao Shanghang Zhang Lianzhe Wang Heng Chang Zhi Wang Wenwu Zhu CLL 57 10 0 11 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 61 21 0 10 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 60 32 0 09 Jun 2021
Density estimation on smooth manifolds with normalizing flows Dimitris Kalatzis J. Z. Ye Alison Pouplin Jesper Wohlert Søren Hauberg 49 6 0 07 Jun 2021
Rectangular Flows for Manifold Learning Anthony L. Caterini Gabriel Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 58 46 0 02 Jun 2021
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows Zhizhong Huang Shouzhen Chen Junping Zhang Hongming Shan 20 8 0 15 May 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 93 178 0 05 Mar 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation Maksim Kuznetsov Daniil Polykovskiy 52 43 0 03 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 172 1,428 0 14 Dec 2020
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization Han Huang Mi-Yen Yeh 39 8 0 08 Dec 2020
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows Rameen Abdal Peihao Zhu Niloy Mitra Peter Wonka 84 531 0 06 Aug 2020
Continuously Indexed Domain Adaptation Hao Wang Hao He Dina Katabi MedIm 50 117 0 03 Jul 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators Takeshi Teshima Isao Ishikawa Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 51 111 0 20 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 87 125 0 18 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 83 275 0 15 Jun 2020
The Expressive Power of a Class of Normalizing Flow Models Zhifeng Kong Kamalika Chaudhuri TPM 63 53 0 31 May 2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport Derek Onken Samy Wu Fung Xingjian Li Lars Ruthotto OT 42 159 0 29 May 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 103 135 0 24 Apr 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 84 162 0 31 Mar 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation Shuhao Cui Shuhui Wang Junbao Zhuo Chi Su Qingming Huang Q. Tian 114 244 0 30 Mar 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment Ben Usman Avneesh Sud Nick Dufour Kate Saenko OOD 17 13 0 26 Mar 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 88 51 0 26 Feb 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 88 229 0 26 Feb 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey Sicheng Zhao Yue Liu Colorado Reed Pengfei Xu Kurt Keutzer 60 105 0 26 Feb 2020
Fast Differentiable Sorting and Ranking Mathieu Blondel O. Teboul Quentin Berthet Josip Djolonga 173 231 0 20 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan Iryna Gurevych Stefan Roth DRL 40 36 0 16 Feb 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 77 114 0 30 Dec 2019
Temporal Normalizing Flows G. Both R. Kusters AI4TS 35 11 0 19 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 115 80 0 15 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 202 1,691 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Progressive Domain Adaptation for Object Detection Han-Kai Hsu Chun-Han Yao Yi-Hsuan Tsai Wei-Chih Hung Hung-Yu Tseng M. Singh Ming-Hsuan Yang ObjD 98 311 0 24 Oct 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 97 667 0 28 Jun 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 45 73 0 30 May 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover Christopher Chute Rui Shu Zhangjie Cao Stefano Ermon OOD DRL 37 66 0 30 May 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 84 132 0 04 Mar 2019