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92 Results
Workshop
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Generalized Prompt Tuning: How to Use a Frozen Pre-Trained Univariate Time Series Foundation Model for Multivariate Time Series Prediction Mingzhu Liu · Angela Chen · George H Chen |
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Poster
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Wed 11:00 |
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Yuxin Wen · Leo Marchyok · Sanghyun Hong · Jonas Geiping · Tom Goldstein · Nicholas Carlini |
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Poster
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Thu 16:30 |
Pre-trained Large Language Models Use Fourier Features to Compute Addition Tianyi Zhou · Deqing Fu · Vatsal Sharan · Robin Jia |
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Workshop
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Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Shuman Peng · Arash Khoeini · Sharan Vaswani · Martin Ester |
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Poster
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Wed 16:30 |
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias Shan Chen · Jack Gallifant · Mingye Gao · Pedro Moreira · Nikolaj Munch · Ajay Muthukkumar · Arvind Rajan · Jaya Kolluri · Amelia Fiske · Janna Hastings · Hugo Aerts · Brian Anthony · Leo Anthony Celi · William La Cava · Danielle Bitterman |
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Poster
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Fri 11:00 |
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training Che Liu · Cheng Ouyang · Sibo Cheng · Anand Shah · Wenjia Bai · Rossella Arcucci |
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Workshop
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Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization Mohammad Samragh · Iman Mirzadeh · Keivan Alizadeh-Vahid · Fartash Faghri · Minsik Cho · Moin Nabi · Devang Naik · Mehrdad Farajtabar |
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Poster
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Thu 11:00 |
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training Bo Chen · Zhilei Bei · Xingyi Cheng · Pan Li · Jie Tang · Le Song |
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Workshop
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ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning Jaedong Hwang · Brian Cheung · Zhang-Wei Hong · Akhilan Boopathy · Pulkit Agrawal · Ila Fiete |
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Workshop
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Sat 10:55 |
Expertise-Centric Prompting Framework for Financial Tabular Data Generation using Pre-trained Large Language Models Subin Kim · Jungmin Son · Minyoung Jung · Youngjun Kwak |
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Poster
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Wed 11:00 |
Pre-trained Gaussian Processes for Bayesian Optimization Zi Wang · George Dahl · Kevin Swersky · Chansoo Lee · Zachary Nado · Justin Gilmer · Jasper Snoek · Zoubin Ghahramani |
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Poster
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Thu 11:00 |
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers Lirui Wang · Xinlei Chen · Jialiang Zhao · Kaiming He |