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155 Results
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Workshop
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Prompting a Pretrained Transformer Can Be a Universal Approximator Aleksandar Petrov · Adel Bibi · Philip Torr |
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Conditional Transformer Fine-Tuning by Adaptive Layer Skipping Xingjian Zhang · Jiaxi Tang · Yang Liu · Xinyang Yi · Li Wei · Lichan Hong · Qiaozhu Mei · Ed H. Chi |
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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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Inter-animal transforms as a guide to model-brain comparison Imran Thobani · Javier Sagastuy-Brena · Aran Nayebi · Rosa Cao · Daniel L Yamins |
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Scaling Transformers for Skillful and Reliable Medium-range Weather Forecasting Tung Nguyen · Rohan Shah · Hritik Bansal · Troy Arcomano · Sandeep Madireddy · Romit Maulik · Veerabhadra Kotamarthi · Ian Foster · Aditya Grover |
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Encoding Agent Trajectories as Representations with Sequence Transformers Athanasios Tsiligkaridis · Zhongheng Li · Elizabeth Hou |
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Transformers Can Achieve Length Generalization But Not Robustly Yongchao Zhou · Uri Alon · Xinyun Chen · Xuezhi Wang · Rishabh Agarwal · Denny Zhou |
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Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain Gustaw Opielka · Jessica Loke · H.Steven Scholte |
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Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape Juno Kim · Taiji Suzuki |
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Transformers Learn Nonlinear Features In Context Juno Kim · Taiji Suzuki |
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Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals Ran Liu · Ellen Zippi · Hadi Pouransari · Christopher Sandino · Jingping Nie · Hanlin Goh · Erdrin Azemi · Ali Moin |
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Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model Weiying Zhao · Natalia Efremova |