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29 Results
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Poster
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Mon 10:30 |
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen · Cho-Jui Hsieh · Boqing Gong |
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Spotlight
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Mon 10:30 |
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen · Cho-Jui Hsieh · Boqing Gong |
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Poster
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Tue 2:30 |
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners Ningyu Zhang · Luoqiu Li · Xiang Chen · Shumin Deng · Zhen Bi · Chuanqi Tan · Fei Huang · Huajun Chen |
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Poster
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Tue 18:30 |
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery · Paul Michel · Ameet Talwalkar · Graham Neubig |
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Poster
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Mon 10:30 |
Exploring the Limits of Large Scale Pre-training Samira Abnar · Mostafa Dehghani · Behnam Neyshabur · Hanie Sedghi |
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Poster
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Thu 18:30 |
HTLM: Hyper-Text Pre-Training and Prompting of Language Models Armen Aghajanyan · Dmytro Okhonko · Mike Lewis · Mandar Joshi · Hu Xu · Gargi Ghosh · Luke Zettlemoyer |
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Workshop
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Fri 8:50 |
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu · Hanchen Wang · Weiyang Liu · Joan Lasenby · Hongyu Guo · Jian Tang |
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Poster
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Tue 18:30 |
TAPEX: Table Pre-training via Learning a Neural SQL Executor Qian Liu · Bei Chen · Jiaqi Guo · Morteza Ziyadi · Zeqi Lin · Weizhu Chen · Jian-Guang Lou |
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Poster
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Wed 18:30 |
Exploring extreme parameter compression for pre-trained language models Wang Benyou · Yuxin Ren · Lifeng Shang · Xin Jiang · Qun Liu |
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Poster
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Tue 10:30 |
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie · Aditi Raghunathan · Percy Liang · Tengyu Ma |
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Poster
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Wed 18:30 |
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu · Hanchen Wang · Weiyang Liu · Joan Lasenby · Hongyu Guo · Jian Tang |
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Poster
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Tue 2:30 |
Rethinking Supervised Pre-Training for Better Downstream Transferring Yutong Feng · Jianwen Jiang · Mingqian Tang · Rong Jin · Yue Gao |