Summary of Extended Deep Submodular Functions, by Seyed Mohammad Hosseini et al.
Extended Deep Submodular Functionsby Seyed Mohammad Hosseini, Arash Jamshid, Seyed Mahdi Noormousavi, Mahdi Jafari Siavoshani,…
Summary of Symmetry-enriched Learning: a Category-theoretic Framework For Robust Machine Learning Models, by Ronald Katende
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Modelsby Ronald KatendeFirst submitted to arxiv…
Summary of Fedlf: Adaptive Logit Adjustment and Feature Optimization in Federated Long-tailed Learning, by Xiuhua Lu et al.
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learningby Xiuhua Lu, Peng Li,…
Summary of Grin: Gradient-informed Moe, by Liyuan Liu et al.
GRIN: GRadient-INformed MoEby Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao…
Summary of Adaptive Anomaly Detection in Network Flows with Low-rank Tensor Decompositions and Deep Unrolling, by Lukas Schynol et al.
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrollingby Lukas Schynol,…
Summary of Balancing Optimality and Diversity: Human-centered Decision Making Through Generative Curation, by Michael Lingzhi Li and Shixiang Zhu
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curationby Michael Lingzhi Li, Shixiang ZhuFirst…
Summary of Soap: Improving and Stabilizing Shampoo Using Adam, by Nikhil Vyas et al.
SOAP: Improving and Stabilizing Shampoo using Adamby Nikhil Vyas, Depen Morwani, Rosie Zhao, Mujin Kwun,…
Summary of Beyond Algorithmic Fairness: a Guide to Develop and Deploy Ethical Ai-enabled Decision-support Tools, by Rosemarie Santa Gonzalez et al.
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Toolsby Rosemarie Santa…
Summary of A Reinforcement Learning Environment For Automatic Code Optimization in the Mlir Compiler, by Nazim Bendib et al.
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compilerby Nazim Bendib, Iheb…
Summary of Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study, by Nikolai Merkel et al.
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Studyby Nikolai Merkel, Pierre…