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Workshop
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Global Vegetation Modeling With Pre-Trained Weather Transformers
Pascal Janetzky · Florian Gallusser · Simon Hentschel · Andreas Hotho · Anna Krause
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Workshop
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Global Vegetation Modeling With Pre-Trained Weather Transformers
Pascal Janetzky · Florian Gallusser · Simon Hentschel · Anna Krause · Andreas Hotho
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Workshop
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Pre-training and In-context Learning IS Bayesian Inference a la De Finetti
Naimeng Ye · Hanming Yang · Andrew Siah · Hongseok Namkoong
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Workshop
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Paddy Doctor: Open Dataset and Automated Pest Identification Using Pre-trained Deep Learning Models
Petchiammal A · Pandarasamy Arjunan
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Poster
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Wed 7:30
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Pre-Training and Fine-Tuning Generative Flow Networks
Ling Pan · Moksh Jain · Kanika Madan · Yoshua Bengio
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Workshop
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Sat 0:00
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Invited Talk #1 - Bridging the Gap Between Pre-training Data and Alignment [Speaker: Mike Lewis (Meta AI)]
Mike Lewis
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Poster
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Tue 1:45
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Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
yuyan ni · Shikun Feng · Wei-Ying Ma · Zhi-Ming Ma · Yanyan Lan
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Poster
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Thu 1:45
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Masked Structural Growth for 2x Faster Language Model Pre-training
Yiqun Yao · Zheng Zhang · Jing Li · Yequan Wang
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Poster
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Thu 1:45
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Making Pre-trained Language Models Great on Tabular Prediction
Jiahuan Yan · Bo Zheng · Hongxia Xu · Yiheng Zhu · Danny Chen · Jimeng Sun · Jian Wu · Jintai Chen
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Workshop
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AutoBasisEncoder: Pre-trained Neural Field Basis via Autoencoding for Operator Learning
Thomas Wang · Nicolas Baskiotis · patrick Gallinari
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Workshop
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On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models
Sean Farhat · Deming Chen
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Workshop
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Sat 0:30
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Best Paper Oral Presentation #1 - Does Data Contamination Make a Difference? Insights from Intentionally Contaminating Pre-training Data For Language Models [Speaker: Ken Liu (Stanford University)]
Ken Liu
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