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Poster
Wed 14:00 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
Mufan Li · Mihai Nica · Dan Roy
Poster
Thu 9:00 An In-depth Study of Stochastic Backpropagation
Jun Fang · Mingze Xu · Hao Chen · Bing Shuai · Zhuowen Tu · Joseph Tighe
Workshop
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification
Muhammad ElNokrashy · Badr AlKhamissi · Mona Diab
Poster
Thu 9:00 Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
Poster
Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
Quanliang Wu · Huajun Liu
Poster
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
Yunsong Zhou · Quan Liu · Hongzi Zhu · Yunzhe Li · Shan Chang · Minyi Guo
Poster
Tue 9:00 Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
Shen-Huan Lyu · Yi-Xiao He · Zhi-Hua Zhou
Poster
Thu 9:00 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu · Fanghui Liu · Grigorios Chrysos · Volkan Cevher
Poster
Wed 9:00 Geometry-aware Two-scale PIFu Representation for Human Reconstruction
Zheng Dong · Ke Xu · Ziheng Duan · Hujun Bao · Weiwei Xu · Rynson Lau
Poster
Wed 14:00 Most Activation Functions Can Win the Lottery Without Excessive Depth
Rebekka Burkholz
Poster
Tue 14:00 Hierarchical Normalization for Robust Monocular Depth Estimation
Chi Zhang · Wei Yin · Billzb Wang · Gang Yu · BIN FU · Chunhua Shen
Poster
Wed 14:00 Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
WEICONG LIANG · YUHUI YUAN · Henghui Ding · Xiao Luo · Weihong Lin · Ding Jia · Zheng Zhang · Chao Zhang · Han Hu