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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
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
Wed 16:30 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu
Affinity Workshop
Transformer-based Self-Supervised Learning for Medical Images
Mariia Dobko · Mariia Kokshaikyna
Workshop
Mon 8:40 Stephane Deny: "Learning transformations from data via recurrent latent operators"
Workshop
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer · Will Hamilton · Vincent L├ętourneau
Workshop
Mon 11:20 Xavier Boix: "Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?"
Workshop
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Workshop
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Workshop
Pathologies in Priors and Inference for Bayesian Transformers
Tristan Cinquin · Alexander Immer · Max Horn · Vincent Fortuin