Desiderata for Representation Learning: A Causal Perspective

8 September 2021

Papers citing "Desiderata for Representation Learning: A Causal Perspective"

16 / 16 papers shown

Title
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 130 18 0 28 Feb 2024
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 44 92 0 31 May 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 35 64 0 27 Mar 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 97 681 0 06 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 50 376 0 14 Oct 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 203 315 0 07 Feb 2020
Deep causal representation learning for unsupervised domain adaptation Raha Moraffah Kai Shu A. Raglin Huan Liu CML OOD 37 11 0 28 Oct 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 52 123 0 03 May 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 46 162 0 08 Mar 2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 103 160 0 31 Oct 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 42 1,336 0 16 Feb 2018
Overlap in Observational Studies with High-Dimensional Covariates Alexander DÁmour Peng Ding Avi Feller Lihua Lei Jasjeet Sekhon 80 193 0 07 Nov 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 40 310 0 24 May 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 59 204 0 09 May 2017
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 62 604 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 160 12,384 0 24 Jun 2012