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Workshop
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Contrasting random and learned features in deep Bayesian linear regression
Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan
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Workshop
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Fri 11:40
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A computational model predicts humans' aesthetic judgments based on deep neural network feature values
Aenne Brielmann
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Poster
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Wed 9:00
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Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network
Giyoung Jeon · Haedong Jeong · Jaesik Choi
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Poster
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Tue 14:00
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Self-Supervised Learning Through Efference Copies
Franz Scherr · Qinghai Guo · Timoleon Moraitis
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Poster
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Rank Diminishing in Deep Neural Networks
Ruili Feng · Kecheng Zheng · Yukun Huang · Deli Zhao · Michael Jordan · Zheng-Jun Zha
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Poster
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Coded Residual Transform for Generalizable Deep Metric Learning
Shichao Kan · Yixiong Liang · Min Li · Yigang Cen · Jianxin Wang · Zhihai He
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Poster
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Tue 14:00
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Composite Feature Selection Using Deep Ensembles
Fergus Imrie · Alexander Norcliffe · Pietro Lió · Mihaela van der Schaar
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Workshop
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Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
Hanieh Hashemi · Wenjie Xiong · Liu Ke · Kiwan Maeng · Murali Annavaram · G. Edward Suh · Hsien-Hsin Lee
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Workshop
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Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging
Chi-en Tai · Nedim Hodzic · Nic Flanagan · Hayden Gunraj · Alexander Wong
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Workshop
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Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions
Yiren Liu · S. Joe Qin · Xiangyu Zhao · Yixiao HUANG · Shenglong Yao · Guo Han
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Poster
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Wed 14:00
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On Embeddings for Numerical Features in Tabular Deep Learning
Yury Gorishniy · Ivan Rubachev · Artem Babenko
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Affinity Workshop
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Cocoa Beans Classification Using Enhanced Image Feature Extraction Techniques and A Regularized Artificial Neural Network Model.
Eric Opoku · Rose-Mary Mensah Gyening · Obed Appiah
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