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Poster
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Thu 4:30
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Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
Weijia Zhang · Chenlong Yin · Hao Liu · Xiaofang Zhou · Hui Xiong
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Poster
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Tue 2:30
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Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
Mikail Khona · Maya Okawa · Jan Hula · Rahul Ramesh · Kento Nishi · Robert Dick · Ekdeep Singh Lubana · Hidenori Tanaka
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Poster
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Thu 4:30
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ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
Kirill Vishniakov · Zhiqiang Shen · Zhuang Liu
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Poster
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Wed 2:30
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Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
Yancheng Wang · Ping Li · Yingzhen Yang
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Oral
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Thu 1:45
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Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao · Zhiyuan Lu · Mia Liu · Javier Duarte · Pan Li
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Poster
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Wed 4:30
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LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
Victor Agostinelli III · Sanghyun Hong · Lizhong Chen
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Poster
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Thu 2:30
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Simulation of Graph Algorithms with Looped Transformers
Artur Back de Luca · Kimon Fountoulakis
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Poster
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Tue 2:30
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MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
Yizhuo Chen · Chun-Fu (Richard) Chen · Hsiang Hsu · Shaohan Hu · Marco Pistoia · Tarek Abdelzaher
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Poster
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Tue 2:30
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Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
Junfeng CHEN · Kailiang Wu
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Poster
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Wed 4:30
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What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
Xingwu Chen · Difan Zou
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Poster
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Wed 4:30
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Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
Antoine Dedieu · Wolfgang Lehrach · Guangyao Zhou · Dileep George · Miguel Lazaro-Gredilla
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Poster
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Wed 4:30
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FrameQuant: Flexible Low-Bit Quantization for Transformers
Harshavardhan Adepu · Zhanpeng Zeng · Li Zhang · Vikas Singh
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