Summary of The Data Addition Dilemma, by Judy Hanwen Shen et al.
The Data Addition Dilemmaby Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. ChenFirst submitted to…
Summary of Pybregman: a Python Library For Bregman Manifolds, by Frank Nielsen and Alexander Soen
pyBregMan: A Python library for Bregman Manifoldsby Frank Nielsen, Alexander SoenFirst submitted to arxiv on:…
Summary of Probabilistic Circuits For Cumulative Distribution Functions, by Oliver Broadrick and William Cao and Benjie Wang and Martin Trapp and Guy Van Den Broeck
Probabilistic Circuits for Cumulative Distribution Functionsby Oliver Broadrick, William Cao, Benjie Wang, Martin Trapp, Guy…
Summary of The Ungrounded Alignment Problem, by Marc Pickett et al.
The Ungrounded Alignment Problemby Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion JonesFirst submitted to…
Summary of Early Risk Assessment Model For Ica Timing Strategy in Unstable Angina Patients Using Multi-modal Machine Learning, by Candi Zheng et al.
Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina Patients Using Multi-Modal Machine…
Summary of Lafa: Latent Feature Attacks on Non-negative Matrix Factorization, by Minh Vu et al.
LaFA: Latent Feature Attacks on Non-negative Matrix Factorizationby Minh Vu, Ben Nebgen, Erik Skau, Geigh…
Summary of Hard to Explain: on the Computational Hardness Of In-distribution Model Interpretation, by Guy Amir et al.
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretationby Guy Amir, Shahaf Bassan,…
Summary of Multimodal Gender Fairness in Depression Prediction: Insights on Data From the Usa & China, by Joseph Cameron et al.
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & Chinaby Joseph…
Summary of Making Robust Generalizers Less Rigid with Soft Ascent-descent, by Matthew J. Holland et al.
Making Robust Generalizers Less Rigid with Soft Ascent-Descentby Matthew J. Holland, Toma HamadaFirst submitted to…
Summary of On the Choice Of the Non-trainable Internal Weights in Random Feature Maps, by Pinak Mandal et al.
On the choice of the non-trainable internal weights in random feature mapsby Pinak Mandal, Georg…