Summary of Skim: Any-bit Quantization Pushing the Limits Of Post-training Quantization, by Runsheng Bai et al.
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantizationby Runsheng Bai, Bo Liu, Qiang LiuFirst…
Summary of Quantized and Interpretable Learning Scheme For Deep Neural Networks in Classification Task, by Alireza Maleki et al.
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Taskby Alireza Maleki, Mahsa…
Summary of Cptquant – a Novel Mixed Precision Post-training Quantization Techniques For Large Language Models, by Amitash Nanda et al.
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Modelsby Amitash Nanda,…
Summary of Unifying Kv Cache Compression For Large Language Models with Leankv, by Yanqi Zhang et al.
Unifying KV Cache Compression for Large Language Models with LeanKVby Yanqi Zhang, Yuwei Hu, Runyuan…
Summary of Flashattention on a Napkin: a Diagrammatic Approach to Deep Learning Io-awareness, by Vincent Abbott et al.
FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awarenessby Vincent Abbott, Gioele ZardiniFirst…
Summary of Cegi: Measuring the Trade-off Between Efficiency and Carbon Emissions For Slms and Vlms, by Abhas Kumar et al.
CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMsby Abhas Kumar,…
Summary of Rilq: Rank-insensitive Lora-based Quantization Error Compensation For Boosting 2-bit Large Language Model Accuracy, by Geonho Lee et al.
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracyby Geonho Lee,…
Summary of A Wave Is Worth 100 Words: Investigating Cross-domain Transferability in Time Series, by Xiangkai Ma et al.
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Seriesby Xiangkai Ma, Xiaobin…
Summary of Dfrot: Achieving Outlier-free and Massive Activation-free For Rotated Llms with Refined Rotation, by Jingyang Xiang et al.
DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotationby Jingyang Xiang, Sai…
Summary of Training Multi-layer Binary Neural Networks with Local Binary Error Signals, by Luca Colombo et al.
Training Multi-Layer Binary Neural Networks With Local Binary Error Signalsby Luca Colombo, Fabrizio Pittorino, Manuel…