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73 Results
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Poster
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Thu 13:30 |
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks Jiachen Yao · Chang Su · Zhongkai Hao · LIU SONGMING · Hang Su · Jun Zhu |
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Poster
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Tue 14:00 |
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization Jiwoo Son · Minsu Kim · Hyeonah Kim · Jinkyoo Park |
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Poster
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Thu 13:30 |
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Stella Biderman · Hailey Schoelkopf · Quentin Anthony · Herbie Bradley · Kyle O'Brien · Eric Hallahan · Mohammad Aflah Khan · Shivanshu Purohit · USVSN Sai Prashanth · Edward Raff · Aviya Skowron · Lintang Sutawika · Oskar van der Wal |
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Poster
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Tue 17:00 |
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine |
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Poster
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Tue 17:00 |
Project and Forget: Solving Large-Scale Metric Constrained Problems Rishi Sonthalia · Anna C. Gilbert |
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Poster
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Wed 17:00 |
GOAT: A Global Transformer on Large-scale Graphs Kezhi Kong · Jiuhai Chen · John Kirchenbauer · Renkun Ni · C. Bayan Bruss · Tom Goldstein |
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Poster
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Thu 16:30 |
Scaling Laws for Generative Mixed-Modal Language Models Armen Aghajanyan · LILI YU · Alexis Conneau · Wei-Ning Hsu · Karen Hambardzumyan · Susan Zhang · Stephen Roller · Naman Goyal · Omer Levy · Luke Zettlemoyer |
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Poster
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Tue 17:00 |
Scaling of Class-wise Training Losses for Post-hoc Calibration Seungjin Jung · Seungmo Seo · Yonghyun Jeong · Jongwon Choi |
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Poster
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Thu 16:30 |
TRAK: Attributing Model Behavior at Scale Sung Min (Sam) Park · Kristian Georgiev · Andrew Ilyas · Guillaume Leclerc · Aleksander Madry |
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Poster
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Tue 14:00 |
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective Yulong Lu |
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Poster
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Thu 13:30 |
Long Horizon Temperature Scaling Andy Shih · Dorsa Sadigh · Stefano Ermon |
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Poster
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Wed 17:00 |
Scaling Laws for Reward Model Overoptimization Leo Gao · John Schulman · Jacob Hilton |