Summary of Framequant: Flexible Low-bit Quantization For Transformers, by Harshavardhan Adepu et al.
FrameQuant: Flexible Low-Bit Quantization for Transformersby Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas SinghFirst submitted…
Summary of The Impact Of Quantization on the Robustness Of Transformer-based Text Classifiers, by Seyed Parsa Neshaei et al.
The Impact of Quantization on the Robustness of Transformer-based Text Classifiersby Seyed Parsa Neshaei, Yasaman…
Summary of Considering Nonstationary Within Multivariate Time Series with Variational Hierarchical Transformer For Forecasting, by Muyao Wang et al.
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecastingby Muyao Wang, Wenchao…
Summary of Tune Without Validation: Searching For Learning Rate and Weight Decay on Training Sets, by Lorenzo Brigato and Stavroula Mougiakakou
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Setsby Lorenzo Brigato,…
Summary of Denoising Autoregressive Representation Learning, by Yazhe Li et al.
Denoising Autoregressive Representation Learningby Yazhe Li, Jorg Bornschein, Ting ChenFirst submitted to arxiv on: 8…
Summary of Efficient High-resolution Time Series Classification Via Attention Kronecker Decomposition, by Aosong Feng et al.
Efficient High-Resolution Time Series Classification via Attention Kronecker Decompositionby Aosong Feng, Jialin Chen, Juan Garza,…
Summary of Crm: Single Image to 3d Textured Mesh with Convolutional Reconstruction Model, by Zhengyi Wang et al.
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Modelby Zhengyi Wang, Yikai Wang,…
Summary of Impacts Of Color and Texture Distortions on Earth Observation Data in Deep Learning, by Martin Willbo et al.
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learningby Martin Willbo,…
Summary of Exploring the Influence Of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series, by Mahsun Altin et al.
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Seriesby Mahsun…
Summary of Ratsf: Empowering Customer Service Volume Management Through Retrieval-augmented Time-series Forecasting, by Tianfeng Wang et al.
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecastingby Tianfeng Wang, Gaojie CuiFirst submitted…