Summary of Gaussian Mixture Vector Quantization with Aggregated Categorical Posterior, by Mingyuan Yan et al.
Gaussian Mixture Vector Quantization with Aggregated Categorical Posteriorby Mingyuan Yan, Jiawei Wu, Rushi Shah, Dianbo…
Summary of Slim: One-shot Quantization and Sparsity with Low-rank Approximation For Llm Weight Compression, by Mohammad Mozaffari et al.
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compressionby Mohammad Mozaffari, Amir…
Summary of Flatquant: Flatness Matters For Llm Quantization, by Yuxuan Sun et al.
FlatQuant: Flatness Matters for LLM Quantizationby Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang…
Summary of Qeft: Quantization For Efficient Fine-tuning Of Llms, by Changhun Lee et al.
QEFT: Quantization for Efficient Fine-Tuning of LLMsby Changhun Lee, Jun-gyu Jin, Younghyun Cho, Eunhyeok ParkFirst…
Summary of Deltadq: Ultra-high Delta Compression For Fine-tuned Llms Via Group-wise Dropout and Separate Quantization, by Yanfeng Jiang et al.
DeltaDQ: Ultra-High Delta Compression for Fine-Tuned LLMs via Group-wise Dropout and Separate Quantizationby Yanfeng Jiang,…
Summary of Dart: Denoising Autoregressive Transformer For Scalable Text-to-image Generation, by Jiatao Gu et al.
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generationby Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang…
Summary of Scalable Representation Learning For Multimodal Tabular Transactions, by Natraj Raman et al.
Scalable Representation Learning for Multimodal Tabular Transactionsby Natraj Raman, Sumitra Ganesh, Manuela VelosoFirst submitted to…
Summary of Crossquant: a Post-training Quantization Method with Smaller Quantization Kernel For Precise Large Language Model Compression, by Wenyuan Liu et al.
CrossQuant: A Post-Training Quantization Method with Smaller Quantization Kernel for Precise Large Language Model Compressionby…
Summary of Scaling Laws For Mixed Quantization in Large Language Models, by Zeyu Cao et al.
Scaling Laws for Mixed quantization in Large Language Modelsby Zeyu Cao, Cheng Zhang, Pedro Gimenes,…
Summary of Covering Numbers For Deep Relu Networks with Applications to Function Approximation and Nonparametric Regression, by Weigutian Ou et al.
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regressionby Weigutian…