Challenge design roadmap

no code implementations • 15 Jan 2024 • Hugo Jair Escalante Balderas, Isabelle Guyon, Addison Howard, Walter Reade, Sebastien Treguer

However, these rules have multiple objectives beyond making the game enjoyable for participants.

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models

no code implementations • 22 May 2023 • Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo

To address this need, we introduce the Adversarial Nibbler challenge.

A community-powered search of machine learning strategy space to find NMR property prediction models

1 code implementation • 13 Aug 2020 • Lars A. Bratholm, Will Gerrard, Brandon Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants

The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions.

BIG-bench Machine Learning NMR J-coupling +1