Summary of Training All-mechanical Neural Networks For Task Learning Through in Situ Backpropagation, by Shuaifeng Li et al.
Training all-mechanical neural networks for task learning through in situ backpropagationby Shuaifeng Li, Xiaoming MaoFirst…
Summary of Geollm-engine: a Realistic Environment For Building Geospatial Copilots, by Simranjit Singh et al.
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilotsby Simranjit Singh, Michael Fore, Dimitrios StamoulisFirst submitted…
Summary of Fedgreen: Carbon-aware Federated Learning with Model Size Adaptation, by Ali Abbasi et al.
FedGreen: Carbon-aware Federated Learning with Model Size Adaptationby Ali Abbasi, Fan Dong, Xin Wang, Henry…
Summary of An Mrp Formulation For Supervised Learning: Generalized Temporal Difference Learning Models, by Yangchen Pan et al.
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Modelsby Yangchen Pan, Junfeng Wen,…
Summary of Cross-temporal Spectrogram Autoencoder (ctsae): Unsupervised Dimensionality Reduction For Clustering Gravitational Wave Glitches, by Yi Li et al.
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitchesby Yi Li, Yunan…
Summary of Brain Storm Optimization Based Swarm Learning For Diabetic Retinopathy Image Classification, by Liang Qu et al.
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classificationby Liang Qu, Cunze Wang,…
Summary of Guided Absolutegrad: Magnitude Of Gradients Matters to Explanation’s Localization and Saliency, by Jun Huang et al.
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation’s Localization and Saliencyby Jun Huang, Yan LiuFirst…
Summary of Implicitave: An Open-source Dataset and Multimodal Llms Benchmark For Implicit Attribute Value Extraction, by Henry Peng Zou et al.
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extractionby Henry Peng…
Summary of A Survey Of Deep Long-tail Classification Advancements, by Charika De Alvis (the University Of Sydney et al.
A Survey of Deep Long-Tail Classification Advancementsby Charika de Alvis, Suranga SeneviratneFirst submitted to arxiv…
Summary of Variational Deep Survival Machines: Survival Regression with Censored Outcomes, by Qinxin Wang et al.
Variational Deep Survival Machines: Survival Regression with Censored Outcomesby Qinxin Wang, Jiayuan Huang, Junhui Li,…