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You Only Need a Good Embeddings Extractor to Fix Spurious Correlations

You Only Need a Good Embeddings Extractor to Fix Spurious Correlations

12 December 2022
Raghav Mehta
Vítor Albiero
Li Chen
Ivan Evtimov
Tamar Glaser
Zhiheng Li
Tal Hassner
ArXivPDFHTML

Papers citing "You Only Need a Good Embeddings Extractor to Fix Spurious Correlations"

15 / 15 papers shown
Title
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
Souhail Hadgi
Luca Moschella
Andrea Santilli
Diego Gomez
Qixing Huang
Emanuele Rodolà
Simone Melzi
M. Ovsjanikov
40
0
0
07 Mar 2025
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
30
1
0
04 Oct 2024
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
36
0
0
04 Sep 2024
Latent Space Translation via Inverse Relative Projection
Latent Space Translation via Inverse Relative Projection
Valentino Maiorca
Luca Moschella
Marco Fumero
Francesco Locatello
Emanuele Rodolà
29
1
0
21 Jun 2024
Latent Functional Maps
Latent Functional Maps
Marco Fumero
Marco Pegoraro
Valentino Maiorca
Francesco Locatello
Emanuele Rodolà
27
1
0
20 Jun 2024
Investigating the Benefits of Projection Head for Representation
  Learning
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue
Eric Gan
Jiayi Ni
Siddharth Joshi
Baharan Mirzasoleiman
29
10
0
18 Mar 2024
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Rohan Myer Krishnan
Zitian Tang
Zhiqiu Yu
Chen Sun
37
1
0
30 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with
  Adversarial Filtering
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
10
1
0
13 Nov 2023
Latent Space Translation via Semantic Alignment
Latent Space Translation via Semantic Alignment
Valentino Maiorca
Luca Moschella
Antonio Norelli
Marco Fumero
Francesco Locatello
Emanuele Rodolà
11
20
0
01 Nov 2023
On Responsible Machine Learning Datasets with Fairness, Privacy, and
  Regulatory Norms
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
S. Mittal
K. Thakral
Richa Singh
Mayank Vatsa
Tamar Glaser
Cristian Canton Ferrer
Tal Hassner
FaML
18
3
0
24 Oct 2023
Identifying and Disentangling Spurious Features in Pretrained Image
  Representations
Identifying and Disentangling Spurious Features in Pretrained Image Representations
R. Darbinyan
Hrayr Harutyunyan
Aram H. Markosyan
Hrant Khachatrian
19
2
0
22 Jun 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target
  Embeddings
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue
Ali Payani
Yu Yang
Baharan Mirzasoleiman
VLM
19
4
0
23 May 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
184
30
0
09 Mar 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating
  Orthogonal Features
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
VLM
6
9
0
10 Feb 2023
A New Linear Scaling Rule for Private Adaptive Hyperparameter
  Optimization
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
Ashwinee Panda
Xinyu Tang
Saeed Mahloujifar
Vikash Sehwag
Prateek Mittal
19
11
0
08 Dec 2022
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