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Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning

16 April 2024

Jiajun Wu

Papers citing "Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning"

21 / 21 papers shown

Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 115 0 0 12 Mar 2025
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 138 27 0 28 May 2023
On the Identifiability of Nonlinear ICA: Sparsity and Beyond Yujia Zheng Ignavier Ng Kun Zhang CML 93 65 0 15 Jun 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 95 49 0 20 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 59 55 0 17 Aug 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 73 102 0 09 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 271 7,958 0 11 May 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 233 674 0 20 Mar 2021
Implicit Rank-Minimizing Autoencoder Li Jing Jure Zbontar Yann LeCun SSL DRL 75 49 0 01 Oct 2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement William S. Peebles John Peebles Jun-Yan Zhu Alexei A. Efros Antonio Torralba 71 115 0 24 Aug 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 156 15,026 0 18 Jun 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) Peter Sorrenson Carsten Rother Ullrich Kothe DRL CML 73 121 0 14 Jan 2020
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 118 138 0 07 Jun 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 143 1,473 0 29 Nov 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 70 1,356 0 16 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 238 5,079 0 02 Nov 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,390 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,541 0 02 Nov 2016
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 398 3,157 0 15 Aug 2013
Deep Learning of Representations: Looking Forward Yoshua Bengio 225 683 0 02 May 2013