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Poster
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Wed 16:30 |
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu |
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Workshop
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Accurate Imputation and Efficient Data Acquisitionwith Transformer-based VAEs Sarah Lewis · Tatiana Matejovicova · Yingzhen Li · Angus Lamb · Yordan Zaykov · Miltiadis Allamanis · Cheng Zhang |
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Workshop
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Characterizing and Improving MPC-based Private Inference for Transformer-based Models Yongqin Wang · Brian Knott · Murali Annavaram · Hsien-Hsin Lee |
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Workshop
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Accurate Imputation and Efficient Data Acquisitionwith Transformer-based VAEs Sarah Lewis · Tatiana Matejovicova · Yingzhen Li · Angus Lamb · Yordan Zaykov · Miltiadis Allamanis · Cheng Zhang |
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Poster
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Thu 0:30 |
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation Yufei Wang · Can Xu · Huang Hu · Chongyang Tao · Stephen Wan · Mark Dras · Mark Johnson · Daxin Jiang |
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Affinity Workshop
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Transformer-based Self-Supervised Learning for Medical Images Mariia Dobko · Mariia Kokshaikyna |
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Workshop
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Mon 10:48 |
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection Nicolaas Jedema · Thuy Vu · Manish Gupta · Alessandro Moschitti |
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Affinity Workshop
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Effectiveness of Transformers on Session-Based Recommendation SARA RABHI · Ronay Ak · Gabriel Moreira · Jeong Min Lee · Even Oldridge |
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Workshop
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Learning Adaptive Control Flow in Transformers for Improved Systematic Generalization Róbert Csordás · Kazuki Irie · Jürgen Schmidhuber |
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Poster
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Tue 16:30 |
Learning to Elect Cem Anil · Xuchan Bao |
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Workshop
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Consistent Accelerated Inference via Confident Adaptive Transformers Tal Schuster · Adam Fisch · Tommi Jaakkola · Regina Barzilay |
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Workshop
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Tue 12:11 |
[O6] Explaining Information Flow Inside Vision Transformers Using Markov Chain Tingyi Yuan · Xuhong Li · Haoyi Xiong · Dejing Dou |