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Workshop
Attention-based Domain Adaption Forecasting of Streamflow in Data Sparse Regions
Roland Oruche · Fearghal O'Donncha
Poster
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
Yufei CUI · Ziquan Liu · Xiangyu Liu · Xue Liu · Cong Wang · Tei-Wei Kuo · Chun Jason Xue · Antoni Chan
Oral
Mon 6:10 Prompt-to-Prompt Image Editing with Cross-Attention Control
Amir Hertz · Ron Mokady · Jay Tenenbaum · Kfir Aberman · Yael Pritch · Daniel Cohen-Or
Poster
Mon 7:30 Prompt-to-Prompt Image Editing with Cross-Attention Control
Amir Hertz · Ron Mokady · Jay Tenenbaum · Kfir Aberman · Yael Pritch · Daniel Cohen-Or
Poster
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
Jinxi Xiang · Jun Zhang
Workshop
Thu 4:00 On the Role of Attention in Prompt-tuning
Samet Oymak · Ankit Singh Rawat · Mahdi Soltanolkotabi · Christos Thrampoulidis
Poster
Transformers Learn Shortcuts to Automata
Bingbin Liu · Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Cyril Zhang
Poster
Tue 2:30 LDMIC: Learning-based Distributed Multi-view Image Coding
Xinjie Zhang · Jiawei Shao · Jun Zhang
Poster
Wed 2:30 A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Ingrid von Glehn · James Spencer · David Pfau
Poster
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
Sheng Li · Geng Yuan · Yue Dai · Youtao Zhang · Yanzhi Wang · Xulong Tang
Poster
Wed 7:30 Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
Bobby He · James Martens · Guodong Zhang · Aleksandar Botev · Andrew Brock · Samuel L Smith · Yee Whye Teh
Poster
Tue 2:30 Treeformer: Dense Gradient Trees for Efficient Attention Computation
Lovish Madaan · Srinadh Bhojanapalli · Himanshu Jain · Prateek Jain