Summary of Shapley Pruning For Neural Network Compression, by Kamil Adamczewski et al.
Shapley Pruning for Neural Network Compressionby Kamil Adamczewski, Yawei Li, Luc van GoolFirst submitted to…
Shapley Pruning for Neural Network Compressionby Kamil Adamczewski, Yawei Li, Luc van GoolFirst submitted to…
Inverted Activations: Reducing Memory Footprint in Neural Network Trainingby Georgii Novikov, Ivan OseledetsFirst submitted to…
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniquesby Parsa Razmara, Tina Khezresmaeilzadeh,…
Planning in a recurrent neural network that plays Sokobanby Mohammad Taufeeque, Philip Quirke, Maximilian Li,…
Adversarial Circuit Evaluationby Niels uit de Bos, AdriĆ Garriga-AlonsoFirst submitted to arxiv on: 21 Jul…
Deep State Space Recurrent Neural Networks for Time Series Forecastingby Hugo InzirilloFirst submitted to arxiv…
Base and Exponent Prediction in Mathematical Expressions using Multi-Output CNNby Md Laraib Salam, Akash S…
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligenceby Shubha R.…
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internalsby Jaden Fiotto-Kaufman, Alexander R. Loftus,…
Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive…