Bayesian representation learning with oracle constraints

16 June 2015

Papers citing "Bayesian representation learning with oracle constraints"

20 / 20 papers shown

Title
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang Lei Zhao Wei Xing DiffM 27 120 0 15 Aug 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 31 3 0 31 May 2023
Oracle Guided Image Synthesis with Relative Queries Alec Helbling Christopher Rozell Matthew R. O’Shaughnessy Kion Fallah 18 0 0 28 Apr 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 29 44 0 17 Mar 2022
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 21 55 0 17 Aug 2021
Disentangling Hate in Online Memes Rui Cao Ziqing Fan Roy Ka-Wei Lee Wen-Haw Chong Jing Jiang 26 76 0 09 Aug 2021
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 30 39 0 12 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers Divyat Mahajan Chenhao Tan Amit Sharma OOD CML 22 206 0 06 Dec 2019
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images Rula Amer Jannette Nassar D. Bendahan H. Greenspan N. Ben-Eliezer 8 22 0 01 Oct 2019
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 11 14 0 25 Sep 2019
Uncertainty Estimates for Ordinal Embeddings Michael Lohaus Philipp Hennig U. V. Luxburg 28 6 0 27 Jun 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 18 122 0 03 May 2019
Learning Factorized Multimodal Representations Yao-Hung Hubert Tsai Paul Pu Liang Amir Zadeh Louis-Philippe Morency Ruslan Salakhutdinov DRL 61 402 0 16 Jun 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 9 822 0 10 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 21 165 0 06 Apr 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 29 409 0 26 Jul 2017
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 24 76 0 15 Dec 2016
Early Visual Concept Learning with Unsupervised Deep Learning I. Higgins Loic Matthey Xavier Glorot Arka Pal Benigno Uria Charles Blundell S. Mohamed Alexander Lerchner CoGe OCL DRL 14 173 0 17 Jun 2016