Summary of Less Is More: Hop-wise Graph Attention For Scalable and Generalizable Learning on Circuits, by Chenhui Deng et al.
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuitsby Chenhui Deng,…
Summary of Bespoke Non-stationary Solvers For Fast Sampling Of Diffusion and Flow Models, by Neta Shaul et al.
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Modelsby Neta Shaul, Uriel Singer,…
Summary of Mitigating the Bias in the Model For Continual Test-time Adaptation, by Inseop Chung et al.
Mitigating the Bias in the Model for Continual Test-Time Adaptationby Inseop Chung, Kyomin Hwang, Jayeon…
Summary of Improve Cost Efficiency Of Active Learning Over Noisy Dataset, by Zan-kai Chong et al.
Improve Cost Efficiency of Active Learning over Noisy Datasetby Zan-Kai Chong, Hiroyuki Ohsaki, Bryan NgFirst…
Summary of Sangria: Stacked Autoencoder Neural Networks with Gradient Boosting For Indoor Localization, by Danish Gufran et al.
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localizationby Danish Gufran, Saideep Tiku,…
Summary of Improving Uncertainty Sampling with Bell Curve Weight Function, by Zan-kai Chong et al.
Improving Uncertainty Sampling with Bell Curve Weight Functionby Zan-Kai Chong, Hiroyuki Ohsaki, Bok-Min GoiFirst submitted…
Summary of Bandit Profit-maximization For Targeted Marketing, by Joon Suk Huh et al.
Bandit Profit-maximization for Targeted Marketingby Joon Suk Huh, Ellen Vitercik, Kirthevasan KandasamyFirst submitted to arxiv…
Summary of Exponential Family Dynamical Systems (xfads): Large-scale Nonlinear Gaussian State-space Modeling, by Matthew Dowling et al.
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modelingby Matthew Dowling, Yuan Zhao, Il…
Summary of On the Compressibility Of Quantized Large Language Models, by Yu Mao et al.
On the Compressibility of Quantized Large Language Modelsby Yu Mao, Weilan Wang, Hongchao Du, Nan…
Summary of Fusion Of Gaussian Processes Predictions with Monte Carlo Sampling, by Marzieh Ajirak et al.
Fusion of Gaussian Processes Predictions with Monte Carlo Samplingby Marzieh Ajirak, Daniel Waxman, Fernando Llorente,…