Deep Learning
Supplementary Material and Datasheet: Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting Contents
This supplementary document follows the Datasheets for Datasets template of (8) to document the Global Flood Forecasting (GFF) dataset and its creation. Further resources are provided: in the accompanying publication https://arxiv.org/abs/2409.18591 in the GitHub repository https://github.com/Multihuntr/GFF
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration Siyuan Zhang School of Internet of Things Engineering Jiangnan University Wuxi, China 214122 Linbo Xie
The code of implementation is available in https://github.com/UHIF/PID_AGD.
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
Diffusion models have significantly advanced the field of generative modeling.
Q-VLM: Post-training Quantization for Large Vision-Language Models
In this paper, we propose a post-training quantization framework of large vision-language models (L VLMs) for efficient multi-modal inference. Conventional quantization methods sequentially search the layer-wise rounding functions by minimizing activation discretization errors, which fails to acquire optimal quantization strategy without considering cross-layer dependency.
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way Ming Chen
These features are then fed into a V alue Classification Network (VCN) which directly generates classification solutions.
FIDE: F requency-I nflated Conditional Diffusion Model for E xtreme-A ware Time Series Generation
It also extends the traditional diffusion-based model, enabling the generation of samples conditioned on the block maxima, thereby enhancing the model's