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Desiderata for Representation Learning: A Causal Perspective

Desiderata for Representation Learning: A Causal Perspective

8 September 2021
Yixin Wang
Michael I. Jordan
    CML
ArXivPDFHTML

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

14 / 14 papers shown
Title
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
Éloi Zablocki
Valentin Gerard
Amaia Cardiel
Eric Gaussier
Matthieu Cord
Eduardo Valle
69
0
0
23 Nov 2024
Causal Inference for Human-Language Model Collaboration
Causal Inference for Human-Language Model Collaboration
Bohan Zhang
Yixin Wang
Paramveer S. Dhillon
38
2
0
30 Mar 2024
On the Challenges and Opportunities in Generative AI
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
56
17
0
28 Feb 2024
A Measure-Theoretic Axiomatisation of Causality
A Measure-Theoretic Axiomatisation of Causality
Junhyung Park
Simon Buchholz
Bernhard Schölkopf
Krikamol Muandet
26
5
0
19 May 2023
CAT: Causal Audio Transformer for Audio Classification
CAT: Causal Audio Transformer for Audio Classification
Xiaoyu Liu
Hanlin Lu
Jianbo Yuan
Xinyu Li
ViT
21
22
0
14 Mar 2023
CPL: Counterfactual Prompt Learning for Vision and Language Models
CPL: Counterfactual Prompt Learning for Vision and Language Models
Xuehai He
Diji Yang
Weixi Feng
Tsu-jui Fu
Arjun Reddy Akula
Varun Jampani
P. Narayana
Sugato Basu
William Yang Wang
X. Wang
VPVLM
VLM
43
15
0
19 Oct 2022
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
20
19
0
17 Aug 2022
Data-Centric Epidemic Forecasting: A Survey
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
24
18
0
19 Jul 2022
COEM: Cross-Modal Embedding for MetaCell Identification
COEM: Cross-Modal Embedding for MetaCell Identification
Haiyi Mao
M. Jia
Jason Xiaotian Dou
Haotian Zhang
J. Benos
19
7
0
15 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
121
32
0
04 Jul 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource
  Task-Specific Natural Language Generation
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
Zhuang Li
Lizhen Qu
Qiongkai Xu
Tongtong Wu
Tianyang Zhan
Gholamreza Haffari
CoGe
UD
DRL
32
4
0
27 Feb 2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on:
  "Desiderata for Representation Learning: A Causal Perspective"
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective"
Shubhangi Ghosh
Luigi Gresele
Julius von Kügelgen
M. Besserve
Bernhard Schölkopf
CML
13
0
0
14 Feb 2022
Causal Estimation with Functional Confounders
Causal Estimation with Functional Confounders
A. Puli
A. Perotte
Rajesh Ranganath
29
12
0
17 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
173
313
0
07 Feb 2020
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