Summary of Learning-driven Physically-aware Large-scale Circuit Gate Sizing, by Yuyang Ye et al.
Learning-driven Physically-aware Large-scale Circuit Gate Sizingby Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao…
Summary of Autodfp: Automatic Data-free Pruning Via Channel Similarity Reconstruction, by Siqi Li et al.
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstructionby Siqi Li, Jun Chen, Jingyang Xiang, Chengrui…
Summary of Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning For Portfolio Optimization, by Philip Ndikum et al.
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimizationby Philip Ndikum, Serge NdikumFirst submitted…
Summary of On the Last-iterate Convergence Of Shuffling Gradient Methods, by Zijian Liu et al.
On the Last-Iterate Convergence of Shuffling Gradient Methodsby Zijian Liu, Zhengyuan ZhouFirst submitted to arxiv…
Summary of Balancing Fairness and Accuracy in Data-restricted Binary Classification, by Zachary Mcbride Lazri et al.
Balancing Fairness and Accuracy in Data-Restricted Binary Classificationby Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou,…
Summary of Fairrr: Pre-processing For Group Fairness Through Randomized Response, by Xianli Zeng et al.
FairRR: Pre-Processing for Group Fairness through Randomized Responseby Xianli Zeng, Joshua Ward, Guang ChengFirst submitted…
Summary of On the Nonconvexity Of Some Push-forward Constraints and Its Consequences in Machine Learning, by Lucas De Lara (ut3 et al.
On the nonconvexity of some push-forward constraints and its consequences in machine learningby Lucas de…
Summary of Constrained Optimal Fuel Consumption Of Hev: a Constrained Reinforcement Learning Approach, by Shuchang Yan
Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approachby Shuchang YanFirst submitted to…
Summary of Optimizing Negative Prompts For Enhanced Aesthetics and Fidelity in Text-to-image Generation, by Michael Ogezi and Ning Shi
Optimizing Negative Prompts for Enhanced Aesthetics and Fidelity in Text-To-Image Generationby Michael Ogezi, Ning ShiFirst…
Summary of Efficient Knowledge Deletion From Trained Models Through Layer-wise Partial Machine Unlearning, by Vinay Chakravarthi Gogineni and Esmaeil S. Nadimi
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearningby Vinay Chakravarthi Gogineni, Esmaeil…