Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on…
TurboAttention: Efficient Attention Approximation For High Throughputs LLMsby Hao Kang, Srikant Bharadwaj, James Hensman, Tushar…
Low-Rank Correction for Quantized LLMsby Meyer Scetbon, James HensmanFirst submitted to arxiv on: 10 Dec…
Post-Training Non-Uniform Quantization for Convolutional Neural Networksby Ahmed Luqman, Khuzemah Qazi, Imdadullah KhanFirst submitted to…
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learningby Kichang Lee, Jaeho Jin,…
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class…
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered…
Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A…
FP=xINT:A Low-Bit Series Expansion Algorithm for Post-Training Quantizationby Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin…
I Don’t Know: Explicit Modeling of Uncertainty with an [IDK] Tokenby Roi Cohen, Konstantin Dobler,…