Summary of Bend: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion, by Jia Wei et al.
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusionby Jia Wei, Xingjun Zhang,…
Summary of Carbon Intensity-aware Adaptive Inference Of Dnns, by Jiwan Jung
Carbon Intensity-Aware Adaptive Inference of DNNsby Jiwan JungFirst submitted to arxiv on: 23 Mar 2024CategoriesMain:…
Summary of Isplib: a Library For Accelerating Graph Neural Networks Using Auto-tuned Sparse Operations, by Md Saidul Hoque Anik et al.
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operationsby Md Saidul Hoque…
Summary of Magic For the Age Of Quantized Dnns, by Yoshihide Sawada et al.
Magic for the Age of Quantized DNNsby Yoshihide Sawada, Ryuji Saiin, Kazuma SuetakeFirst submitted to…
Summary of Scene-graph Vit: End-to-end Open-vocabulary Visual Relationship Detection, by Tim Salzmann et al.
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detectionby Tim Salzmann, Markus Ryll, Alex Bewley, Matthias MindererFirst…
Summary of Multi-modal Hallucination Control by Visual Information Grounding, By Alessandro Favero et al.
Multi-Modal Hallucination Control by Visual Information Groundingby Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary,…
Summary of Heuristic Algorithm-based Action Masking Reinforcement Learning (haam-rl) with Ensemble Inference Method, by Kyuwon Choi et al.
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Methodby Kyuwon Choi, Cheolkyun Rho,…
Summary of Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures For Brain-computer Interfaces, by Yejia Liu et al.
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfacesby Yejia Liu, Shijin Duan,…
Summary of Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model, by Yizhu Wen et al.
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Modelby Yizhu Wen, Kai Yi, Jing Ke,…
Summary of Variational Inference For Uncertainty Quantification: An Analysis Of Trade-offs, by Charles C. Margossian et al.
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offsby Charles C. Margossian, Loucas Pillaud-Vivien, Lawrence…