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Poster
Thu 9:00 Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak · Neil Tenenholtz · Lester Mackey · Nicolo Fusi
Poster
Tue 1:00 A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
Grégoire Mialon · Dexiong Chen · Alexandre d'Aspremont · Julien Mairal
Poster
Mon 17:00 Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma
Poster
Tue 9:00 Rethinking Attention with Performers
Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller
Poster
Tue 9:00 On the Dynamics of Training Attention Models
Haoye Lu · Yongyi Mao · Amiya Nayak
Poster
Thu 1:00 Hopfield Networks is All You Need
Hubert Ramsauer · Bernhard Schäfl · Johannes Lehner · Philipp Seidl · Michael Widrich · Lukas Gruber · Markus Holzleitner · Thomas Adler · David Kreil · Michael K Kopp · Günter Klambauer · Johannes Brandstetter · Sepp Hochreiter
Poster
Tue 17:00 How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim · Alice Oh
Poster
Mon 1:00 Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors
Linfeng Zhang · Kaisheng Ma
Poster
Mon 17:00 Deberta: Decoding-Enhanced Bert With Disentangled Attention
Pengcheng He · Xiaodong Liu · Jianfeng Gao · Weizhu Chen
Poster
Wed 17:00 Is Attention Better Than Matrix Decomposition?
Zhengyang Geng · Meng-Hao Guo · Hongxu None Chen · Xia Li · Ke Wei · Zhouchen Lin
Poster
Tue 17:00 Attentional Constellation Nets for Few-Shot Learning
Weijian Xu · Yifan Xu · Huaijin Wang · Zhuowen Tu
Poster
Mon 1:00 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang