Summary of Ttaq: Towards Stable Post-training Quantization in Continuous Domain Adaptation, by Junrui Xiao et al.
TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptationby Junrui Xiao, Zhikai Li, Lianwei Yang,…
Summary of Dqa: An Efficient Method For Deep Quantization Of Deep Neural Network Activations, by Wenhao Hu et al.
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activationsby Wenhao Hu, Paul…
Summary of Crvq: Channel-relaxed Vector Quantization For Extreme Compression Of Llms, by Yuzhuang Xu et al.
CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMsby Yuzhuang Xu, Shiyu Ji, Qingfu Zhu,…
Summary of Optimising Tinyml with Quantization and Distillation Of Transformer and Mamba Models For Indoor Localisation on Edge Devices, by Thanaphon Suwannaphong et al.
Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on…
Summary of Lexico: Extreme Kv Cache Compression Via Sparse Coding Over Universal Dictionaries, by Junhyuck Kim et al.
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionariesby Junhyuck Kim, Jongho Park,…
Summary of Turboattention: Efficient Attention Approximation For High Throughputs Llms, by Hao Kang et al.
TurboAttention: Efficient Attention Approximation For High Throughputs LLMsby Hao Kang, Srikant Bharadwaj, James Hensman, Tushar…
Summary of Low-rank Correction For Quantized Llms, by Meyer Scetbon et al.
Low-Rank Correction for Quantized LLMsby Meyer Scetbon, James HensmanFirst submitted to arxiv on: 10 Dec…
Summary of Post-training Non-uniform Quantization For Convolutional Neural Networks, by Ahmed Luqman et al.
Post-Training Non-Uniform Quantization for Convolutional Neural Networksby Ahmed Luqman, Khuzemah Qazi, Imdadullah KhanFirst submitted to…
Summary of Fp=xint:a Low-bit Series Expansion Algorithm For Post-training Quantization, by Boyang Zhang et al.
FP=xINT:A Low-Bit Series Expansion Algorithm for Post-Training Quantizationby Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin…
Summary of Taming Sensitive Weights : Noise Perturbation Fine-tuning For Robust Llm Quantization, by Dongwei Wang et al.
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantizationby Dongwei Wang, Huanrui YangFirst…