Summary of Community-invariant Graph Contrastive Learning, by Shiyin Tan et al.
Community-Invariant Graph Contrastive Learningby Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu OkumuraFirst submitted…
Summary of Position: Towards Resilience Against Adversarial Examples, by Sihui Dai et al.
Position: Towards Resilience Against Adversarial Examplesby Sihui Dai, Chong Xiang, Tong Wu, Prateek MittalFirst submitted…
Summary of Random Pareto Front Surfaces, by Ben Tu et al.
Random Pareto front surfacesby Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang ShafeiFirst submitted to…
Summary of The Privacy Power Of Correlated Noise in Decentralized Learning, by Youssef Allouah et al.
The Privacy Power of Correlated Noise in Decentralized Learningby Youssef Allouah, Anastasia Koloskova, Aymane El…
Summary of Crossmpt: Cross-attention Message-passing Transformer For Error Correcting Codes, by Seong-joon Park et al.
CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codesby Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune…
Summary of On the Universality Of Self-supervised Representation Learning, by Wenwen Qiang et al.
On the Universality of Self-Supervised Representation Learningby Wenwen Qiang, Jingyao Wang, Lingyu Si, Chuxiong Sun,…
Summary of Efficient and Flexible Method For Reducing Moderate-size Deep Neural Networks with Condensation, by Tianyi Chen and Zhi-qin John Xu
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensationby Tianyi Chen, Zhi-Qin…
Summary of Polynomial Chaos Expanded Gaussian Process, by Dominik Polke et al.
Polynomial Chaos Expanded Gaussian Processby Dominik Polke, Tim Kösters, Elmar Ahle, Dirk SöffkerFirst submitted to…
Summary of Leverage Multi-source Traffic Demand Data Fusion with Transformer Model For Urban Parking Prediction, by Yin Huang et al.
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Predictionby Yin Huang,…
Summary of Ab-training: a Communication-efficient Approach For Distributed Low-rank Learning, by Daniel Coquelin et al.
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learningby Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas…