Summary of Scaling Up Quantization-aware Neural Architecture Search For Efficient Deep Learning on the Edge, by Yao Lu et al.
Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edgeby Yao Lu,…
Summary of Vc Dimension Of Graph Neural Networks with Pfaffian Activation Functions, by Giuseppe Alessio D’inverno et al.
VC dimension of Graph Neural Networks with Pfaffian activation functionsby Giuseppe Alessio D'Inverno, Monica Bianchini,…
Summary of Subgroupte: Advancing Treatment Effect Estimation with Subgroup Identification, by Seungyeon Lee et al.
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identificationby Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang…
Summary of Efficient Collaborations Through Weight-driven Coalition Dynamics in Federated Learning Systems, by Mohammed El Hanjri et al.
Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systemsby Mohammed El Hanjri, Hamza Reguieg,…
Summary of Enhancing In-context Learning Via Linear Probe Calibration, by Momin Abbas and Yi Zhou and Parikshit Ram and Nathalie Baracaldo and Horst Samulowitz and Theodoros Salonidis and Tianyi Chen
Enhancing In-context Learning via Linear Probe Calibrationby Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo,…
Summary of Longitudinal Sentiment Classification Of Reddit Posts, by Fabian Nwaoha et al.
Longitudinal Sentiment Classification of Reddit Postsby Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina SokolovaFirst…
Summary of How Far Can 100 Samples Go? Unlocking Overall Zero-shot Multilingual Translation Via Tiny Multi-parallel Data, by Di Wu et al.
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Databy…
Summary of Towards Improved Variational Inference For Deep Bayesian Models, by Sebastian W. Ober
Towards Improved Variational Inference for Deep Bayesian Modelsby Sebastian W. OberFirst submitted to arxiv on:…
Summary of Enhancing Reliability Of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations, by Soyed Tuhin Ahmed et al.
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformationsby Soyed…
Summary of Quantitative Analysis Of Molecular Transport in the Extracellular Space Using Physics-informed Neural Network, by Jiayi Xie et al.
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Networkby Jiayi Xie,…