Summary of Is It a Free Lunch For Removing Outliers During Pretraining?, by Baohao Liao et al.
Is It a Free Lunch for Removing Outliers during Pretraining?by Baohao Liao, Christof MonzFirst submitted…
Is It a Free Lunch for Removing Outliers during Pretraining?by Baohao Liao, Christof MonzFirst submitted…
Quantized Embedding Vectors for Controllable Diffusion Language Modelsby Cheng Kang, Xinye Chen, Yong Hu, Daniel…
A Comprehensive Survey of Compression Algorithms for Language Modelsby Seungcheol Park, Jaehyeon Choi, Sojin Lee,…
Model Compression Techniques in Biometrics Applications: A Surveyby Eduarda Caldeira, Pedro C. Neto, Marco Huber,…
Hybrid of DiffStride and Spectral Pooling in Convolutional Neural Networksby Sulthan Rafif, Mochamad Arfan Ravy…
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networksby Austin Briley, Fatemeh AfghahFirst submitted to…
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantizationby Afsaneh Mahmoudi, Ming Xiao, Emil…
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Modelsby Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei…
PTQ4VM: Post-Training Quantization for Visual Mambaby Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok ParkFirst submitted…
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensationby Yeonhong Park, Jake Hyun, Hojoon…