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Workshop
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
Canyu Chen · Jian Yu · Shan Chen · Che Liu · Zhongwei Wan · Danielle Bitterman · Fei Wang · Kai Shu
Affinity Event
Tue 13:00 Muslims in ML
Suleiman Khan · Ehsaneddin Asgari · Ahmed Youssef · Gasser Elbanna · Azmine Toushik Wasi · Muhammad Irfan khan · Nasik Muhammad Nafi · Rian Adam Rajagede · Raja Farrukh Ali · Kamran Soomro
Session
Tue 9:00 Designed by a computer, built by a designer. Learnings from the fabrication of a chair generated by a ML model
TOMAS CABEZON PEDROSO
Poster
Wed 16:30 ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
Julien Pourcel · Cédric Colas · Gaia Molinaro · Pierre-Yves Oudeyer · Laetitia Teodorescu
Poster
Fri 16:30 DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li · Alex Fang · Georgios Smyrnis · Maor Ivgi · Matt Jordan · Samir Yitzhak Gadre · Hritik Bansal · Etash Guha · Sedrick Scott Keh · Kushal Arora · Saurabh Garg · Rui Xin · Niklas Muennighoff · Reinhard Heckel · Jean Mercat · Mayee Chen · Suchin Gururangan · Mitchell Wortsman · Alon Albalak · Yonatan Bitton · Marianna Nezhurina · Amro Abbas · Cheng-Yu Hsieh · Dhruba Ghosh · Josh Gardner · Maciej Kilian · Hanlin Zhang · Rulin Shao · Sarah Pratt · Sunny Sanyal · Gabriel Ilharco · Giannis Daras · Kalyani Marathe · Aaron Gokaslan · Jieyu Zhang · Khyathi Chandu · Thao Nguyen · Igor Vasiljevic · Sham Kakade · Shuran Song · Sujay Sanghavi · Fartash Faghri · Sewoong Oh · Luke Zettlemoyer · Kyle Lo · Alaaeldin El-Nouby · Hadi Pouransari · Alexander Toshev · Stephanie Wang · Dirk Groeneveld · Luca Soldaini · Pang Wei Koh · Jenia Jitsev · Thomas Kollar · Alex Dimakis · Yair Carmon · Achal Dave · Ludwig Schmidt · Vaishaal Shankar
Workshop
ML2Tuner : Efficient Code Tuning via Multi-Level Machine Learning Models
JooHyoung Cha · Munyoung Lee · Jinse Kwon · Jubin Lee · Jemin Lee · Yongin Kwon
Workshop
Uncertainty Quantification and Calibration for Audio-driven Disease Diagnosis
Shubham Kulkarni · Hideaki Watanabe · Fuminori Homma
Workshop
BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features
Lars L Schaaf · Ilyes Batatia · Jules Tilly · Tom Barrett
Workshop
MEDS-torch: An ML Pipleine for Inductive Experiments for EHR Medical Foundation Models
Nassim Oufattole · Teya Bergamaschi · Pawel Renc · Aleksia Kolo · Matthew McDermott · Collin Stultz
Workshop
From Correlation to Causation: Understanding Climate Change through ML and LLM Inquiries
Shan Shan
Workshop
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra · Bishwamittra Ghosh · Debabrota Basu
Workshop
NLIR: Natural Language Intermediate Representation for Mechanized Theorem Proving
Laetitia Teodorescu · Guillaume Baudart · Emilio Arias · marc lelarge