We have accepted 24 papers to be included in the Volume 136 of the Proceedings of Machine Learning Research. These are listed below, with links to posters. Numbers indicate poster session IDs.
See the NeurIPS workshop page for live video, chat links, and the most updated schedule. We have also created a Guide for Poster Presenters and a Livestream Guide for Attendees
Session 1
1. Trust Issues - Uncertainty Estimation Does not Enable Reliable OOD Prediction On Medical Tabular Data
Dennis Ulmer, Lotta Meijerink, Giovanni Cinà
2. Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches
Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar
4. DeepHeartBeat: Sequence modelling for medical data
Fabian Laumer*, Gabriel Fringeli*, Alina Dubatovka, Laura Manduchi, Joachim M. Buhmann
6. Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease
Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li
7. Evaluation of Contrastive Predictive Coding for Histopathology Applications
Karin Stacke, Claes Lundström, Jonas Unger, Gabriel Eilertsen
9. Confounding Feature Acquisition for Causal Effect Estimation
Shirly Wang*, Seung Eun Yi*, Shalmali Joshi, Marzyeh Ghassemi
14. Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells
Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler Perotte, Noémie Elhadad
21. Neural Temporal Point Processes For Modelling Electronic Health Records
Joseph Enguehard*, Dan Busbridge*, Adam Bozson, Claire Woodcock, Nils Hammerla
26. Spectral discontinuity design: Interrupted time series with spectral mixture kernels
David Leeftink; Max Hinne
28. A Neural SIR Model for Global Forecasting
Philip Nadler; Rossella Arcucci; Yike Guo
Session 2
48. sEMG Gesture Recognition with a Simple Model of Attention
David Josephs*, Carson Drake*, Andrew Heroy, John Santerre
49. Addressing the Real-world Class Imbalance Problem in Dermatology
Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
50. Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images
Young Joon (Fred) Kwon, Danielle Toussie, Lea Azour, Jose Concepcion, Corey Eber, G Anthony Reina, Ping Tak Peter Tang, Amish H Doshi, Eric K Oermann, Anthony B Costa
52. Contrastive Representation Learning for Electroencephalogram Classification
Mostafa Mohsenvand, Mohammad Rasool Izadi, Pattie Maes
55. Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning
Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
56. ML4H Auditing: From Paper to Practice
Luis Oala, Jana Fehr, Luca Gilli, Pradeep Balachandaran, Alixandro Werneck Leite, Saul Calderon-Ramirez, Danny Xie Li, Gabriel Nobis, Erick Alejandro Muñoz Alvarado, Giovanna Jaramillo-Gutierrez, Christian Matek, Arun Shroff, Ferath Kherif, Bruno Sanguinetti, Thomas Wiegand
57. EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network
Neeraj Wagh, Yogatheesan Varatharajah
59. A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler
65. CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness
Nicholas Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Nguyễn Dương Du, Steven QH Truong, Andrew Y. Ng, Matthew P. Lungren
72. Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
Sam Nguyen, Brenda Ng, Alan D. Kaplan, Priyadip Ray
73. An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
76. Quantifying Common Support between Multiple Treatment Groups Using a Contrastive VAE
Wangzhi Dai, Collin M. Stultz
78. 3D Photography Based Neural Network Craniosynostosis Triaging System
Pouria Mashouri; Marta Skreta; John Phillips; Dianna McAllister; Melissa Roy; Senthujan Senkaiahliyan; Michael Brudno; Devin Singh