Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

27 September 2018

Daniel Coelho De Castro

Papers citing "Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning"

20 / 20 papers shown

Title
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 35 5 0 27 Apr 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 46 7 0 29 Mar 2024
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 33 0 0 29 May 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 28 1 0 06 Mar 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Anton van den Hengel AI4CE 57 11 0 29 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 61 2 0 02 Jan 2023
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 33 12 0 23 Aug 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations Avinash Kori Ben Glocker Francesca Toni 30 6 0 05 Jul 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 29 2 0 06 Jun 2022
DÁRTAGNAN: Counterfactual Video Generation Hadrien Reynaud Athanasios Vlontzos Mischa Dombrowski Ciarán M. Gilligan-Lee A. Beqiri Paul Leeson Bernhard Kainz VGen CML MedIm 30 19 0 03 Jun 2022
Oracle Guided Image Synthesis with Relative Queries Alec Helbling Christopher Rozell Matthew R. O’Shaughnessy Kion Fallah 23 0 0 28 Apr 2022
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification Talha Qaiser S. Winzeck Theodore Barfoot T. Barwick S. Doran ... N. Tunariu D. Koh C. Messiou A. Rockall Ben Glocker 16 8 0 16 Jul 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 37 10 0 21 Apr 2021
Introducing a new high-resolution handwritten digits data set with writer characteristics Cédric Beaulac Jeffrey S. Rosenthal 22 2 0 04 Nov 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 27 65 0 17 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos M. Pantic Yannis Panagakis GAN DRL 16 17 0 09 Sep 2020
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks Robert Robinson Qi Dou Daniel Coelho De Castro K. Kamnitsas M. Groot Ronald M. Summers Daniel Rueckert Ben Glocker OOD MedIm 24 19 0 30 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 229 0 11 Jun 2020