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119 Results
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Poster
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Thu 16:30 |
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models Linglan Zhao · Xuerui Zhang · Ke Yan · Shouhong Ding · Weiran Huang |
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Poster
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Thu 11:00 |
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model Xiaoxuan Gong · Jie Ma |
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Workshop
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Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models Jonathan Mamou · Oren Pereg · Daniel Korat · Moshe Berchansky · Nadav Timor · Moshe Wasserblat · Roy Schwartz |
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Poster
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Wed 16:30 |
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram · Arindam Jati · Pankaj Dayama · Sumanta Mukherjee · Nam Nguyen · Wesley M Gifford · Chandra Reddy · Jayant Kalagnanam |
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Workshop
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Uncovering Uncertainty in Transformer Inference Greyson Brothers · Willa Mannering · John Winder · Amber Tien |
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Workshop
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Evaluating Interventional Reasoning Capabilities of Large Language Models Tejas Kasetty · Divyat Mahajan · Gintare Karolina Dziugaite · Alexandre Drouin · Dhanya Sridhar |
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Poster
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Fri 11:00 |
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis Youngwan Lee · Kwanyong Park · Yoorhim Cho · Yong-Ju Lee · Sung Ju Hwang |
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Workshop
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Distributed Speculative Inference of Large Language Models is Provably Faster Nadav Timor · Jonathan Mamou · Oren Pereg · Moshe Berchansky · Daniel Korat · Moshe Wasserblat · Tomer Galanti · Michal Gordon (Kiwkowitz) · David Harel |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |
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Poster
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Thu 16:30 |
Amortizing intractable inference in diffusion models for vision, language, and control Siddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yoshua Bengio · Glen Berseth · Nikolay Malkin |
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Workshop
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Amortizing intractable inference in diffusion models for Bayesian inverse problems Siddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yashar Hezaveh · Laurence Perreault-Levasseur · Yoshua Bengio · Glen Berseth · Nikolay Malkin |