Summary of On the Efficiency and Robustness Of Vibration-based Foundation Models For Iot Sensing: a Case Study, by Tomoyoshi Kimura et al.
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Studyby…
Summary of Solving a Real-world Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering, by Abhijeet Pendyala et al.
Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineeringby…
Summary of A Differentiable Integer Linear Programming Solver For Explanation-based Natural Language Inference, by Mokanarangan Thayaparan et al.
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inferenceby Mokanarangan Thayaparan, Marco Valentino,…
Summary of Cross-architecture Transfer Learning For Linear-cost Inference Transformers, by Sehyun Choi
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformersby Sehyun ChoiFirst submitted to arxiv on: 3 Apr…
Summary of From Narratives to Numbers: Valid Inference Using Language Model Predictions From Verbal Autopsy Narratives, by Shuxian Fan et al.
From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narrativesby Shuxian…
Summary of Towards Leveraging Automl For Sustainable Deep Learning: a Multi-objective Hpo Approach on Deep Shift Neural Networks, by Leona Hennig et al.
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural…
Summary of Preventing Model Collapse in Gaussian Process Latent Variable Models, by Ying Li et al.
Preventing Model Collapse in Gaussian Process Latent Variable Modelsby Ying Li, Zhidi Lin, Feng Yin,…
Summary of Neuromorphic Wireless Device-edge Co-inference Via the Directed Information Bottleneck, by Yuzhen Ke et al.
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneckby Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati,…
Summary of Evaluating Large Language Models Using Contrast Sets: An Experimental Approach, by Manish Sanwal
Evaluating Large Language Models Using Contrast Sets: An Experimental Approachby Manish SanwalFirst submitted to arxiv…
Summary of Propensity Score Alignment Of Unpaired Multimodal Data, by Johnny Xi et al.
Propensity Score Alignment of Unpaired Multimodal Databy Johnny Xi, Jana Osea, Zuheng Xu, Jason HartfordFirst…