Summary of Pushing the Envelope Of Low-bit Llm Via Dynamic Error Compensation, by Yeonhong Park et al.
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensationby Yeonhong Park, Jake Hyun, Hojoon…
Summary of Sequence Generation Modeling For Continuous Value Prediction, by Hongxu Ma et al.
Sequence Generation Modeling for Continuous Value Predictionby Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang,…
Summary of Data-free Group-wise Fully Quantized Winograd Convolution Via Learnable Scales, by Shuokai Pan et al.
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scalesby Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram,…
Summary of Goal-oriented Communications Based on Recursive Early Exit Neural Networks, by Jary Pomponi et al.
Goal-oriented Communications based on Recursive Early Exit Neural Networksby Jary Pomponi, Mattia Merluzzi, Alessio Devoto,…
Summary of Infalign: Inference-aware Language Model Alignment, by Ananth Balashankar and Ziteng Sun and Jonathan Berant and Jacob Eisenstein and Michael Collins and Adrian Hutter and Jong Lee and Chirag Nagpal and Flavien Prost and Aradhana Sinha and Ananda Theertha Suresh and Ahmad Beirami
InfAlign: Inference-aware language model alignmentby Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins,…
Summary of Revisiting Pca For Time Series Reduction in Temporal Dimension, by Jiaxin Gao et al.
Revisiting PCA for time series reduction in temporal dimensionby Jiaxin Gao, Wenbo Hu, Yuntian ChenFirst…
Summary of Latenrgy: Model Agnostic Latency and Energy Consumption Prediction For Binary Classifiers, by Jason M. Pittman
Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiersby Jason M. PittmanFirst submitted…
Summary of Adaptive Conformal Inference by Betting, By Aleksandr Podkopaev et al.
Adaptive Conformal Inference by Bettingby Aleksandr Podkopaev, Darren Xu, Kuang-Chih LeeFirst submitted to arxiv on:…
Summary of Performance Control in Early Exiting to Deploy Large Models at the Same Cost Of Smaller Ones, by Mehrnaz Mofakhami et al.
Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller…
Summary of Evaluating Deep Learning Models For Fault Diagnosis Of a Rotating Machinery with Epistemic and Aleatoric Uncertainty, by Reza Jalayer et al.
Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric…