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110 Results
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Workshop
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Predictive Sparse Manifold Transform Yujia Xie · Xinhui Li · Vince Calhoun |
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L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models Aabha Pingle · Aditya Vyawahare · Isha Joshi · Rahul Tangsali · Raviraj Joshi |
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Transformers are Universal Predictors Sourya Basu · Moulik Choraria · Lav Varshney |
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Teaching Arithmetic to Small Transformers Nayoung Lee · Kartik Sreenivasan · Jason Lee · Kangwook Lee · Dimitris Papailiopoulos |
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Fri 14:10 |
Sumformer: Universal Approximation for Efficient Transformers Silas Alberti · Niclas Dern · Laura Thesing · Gitta Kutyniok |
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Workshop
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On The Ability of Transformers To Learn Recursive Patterns Dylan Zhang · Curt Tigges · Talia Ringer · Stella Biderman · Maxim Raginsky |
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Fri 19:00 |
Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho · Seunghyuk Cho · Sungwoo Park · Hankook Lee · Honglak Lee · Moontae Lee |
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SpeedLimit: Neural Architecture Search for Quantized Transformer Models Luke Bailey · Yuji Chai · Yunho Jin · Glenn Ko · Matthew Karle |
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Looped Transformers are Better at Learning Learning Algorithms Liu Yang · Kangwook Lee · Robert Nowak · Dimitris Papailiopoulos |
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Improving the Lipschitz stability in Spectral Transformer through Nearest Neighbour Coupling Abhishek Sinha |
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Surely You’re Lying, Mr. Model: Improving and Analyzing CCS Naomi Bashkansky · Chloe Loughridge · Chuyue Tang |
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SuperShaper: A Pre-Training Approach for Discovering Efficient Transformer Shapes Vinod Ganesan · Gowtham Ramesh · Pratyush Kumar · Raj Dabre |