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Workshop
Knowledge-Guided Additive Modeling For Supervised Regression
Yann Claes · Van Anh Huynh-Thu · Pierre Geurts
Workshop
Don't trust your eyes: on the (un)reliability of feature visualizations
Poster
Tue 14:00 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Philipp Seidl · Andreu Vall · Sepp Hochreiter · Günter Klambauer
Workshop
Adverse event prediction using a task-specific generative model
Otto Lönnroth · Siddharth Ramchandran · Pekka Tiikkainen · Mine Öğretir · Jussi Leinonen · Harri Lähdesmäki
Workshop
The Matrix Reloaded: A Counterfactual Perspective on Bias in Machine Learning
Andre Carreiro · Mariana Pinto · Pedro Madeira · Alberto Lopez · Hugo Gamboa
Workshop
Sat 12:00 DMLR Workshop: Data-centric Machine Learning Research
Ce Zhang · Praveen Paritosh · Newsha Ardalani · Nezihe Merve Gürel · William Gaviria Rojas · Yang Liu · Rotem Dror · Manil Maskey · Lilith Bat-Leah · Tzu-Sheng Kuo · Luis Oala · Max Bartolo · Ludwig Schmidt · Alicia Parrish · Daniel Kondermann · Najoung Kim
Workshop
Internet Learning: Preliminary Steps Towards Highly Fault-Tolerant Learning on Device Networks
Surojit Ganguli · Avi Amalanshu · Amritanshu Ranjan · David I. Inouye
Workshop
GraphChef: Learning the Recipe of Your Dataset
Peter Müller · Lukas Faber · Karolis Martinkus · Roger Wattenhofer
Workshop
GraphChef: Learning the Recipe of Your Dataset
Peter Müller · Lukas Faber · Karolis Martinkus · Roger Wattenhofer
Workshop
Fri 14:10 Explaining Graph Neural Networks Using Interpretable Local Surrogates
Farzaneh Heidari · Guillaume Rabusseau · Perouz Taslakian
Workshop
Generalizing Neural Additive Models via Statistical Multimodal Analysis
Young Kyung Kim · Juan Di Martino · Guillermo Sapiro
Workshop
Explainable Deep Learning for Disease Activity Prediction in Chronic Inflammatory Joint Diseases
Cécile Trottet · Ahmed Allam · Raphael Micheroli · Aron Horvath · Michael Krauthammer · Caroline Ospelt