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Poster
Wed 16:30 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu
Workshop
Accurate Imputation and Efficient Data Acquisitionwith Transformer-based VAEs
Sarah Lewis · Tatiana Matejovicova · Yingzhen Li · Angus Lamb · Yordan Zaykov · Miltiadis Allamanis · Cheng Zhang
Workshop
Characterizing and Improving MPC-based Private Inference for Transformer-based Models
Yongqin Wang · Brian Knott · Murali Annavaram · Hsien-Hsin Lee
Workshop
Accurate Imputation and Efficient Data Acquisitionwith Transformer-based VAEs
Sarah Lewis · Tatiana Matejovicova · Yingzhen Li · Angus Lamb · Yordan Zaykov · Miltiadis Allamanis · Cheng Zhang
Poster
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
Affinity Workshop
Transformer-based Self-Supervised Learning for Medical Images
Mariia Dobko · Mariia Kokshaikyna
Workshop
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
Affinity Workshop
Effectiveness of Transformers on Session-Based Recommendation
SARA RABHI · Ronay Ak · Gabriel Moreira · Jeong Min Lee · Even Oldridge
Workshop
Learning Adaptive Control Flow in Transformers for Improved Systematic Generalization
Róbert Csordás · Kazuki Irie · Jürgen Schmidhuber
Poster
Tue 16:30 Learning to Elect
Cem Anil · Xuchan Bao
Workshop
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster · Adam Fisch · Tommi Jaakkola · Regina Barzilay
Workshop
Tue 12:11 [O6] Explaining Information Flow Inside Vision Transformers Using Markov Chain
Tingyi Yuan · Xuhong Li · Haoyi Xiong · Dejing Dou