Summary of Outlier-aware Training For Low-bit Quantization Of Structural Re-parameterized Networks, by Muqun Niu et al.
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networksby Muqun Niu, Yuan Ren, Boyu Li,…
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networksby Muqun Niu, Yuan Ren, Boyu Li,…
ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planningby Yihong Tang,…
Towards Fast Stochastic Sampling in Diffusion Generative Modelsby Kushagra Pandey, Maja Rudolph, Stephan MandtFirst submitted…
Rethinking Graph Masked Autoencoders through Alignment and Uniformityby Liang Wang, Xiang Tao, Qiang Liu, Shu…
Towards Generalized Inverse Reinforcement Learningby Chaosheng Dong, Yijia WangFirst submitted to arxiv on: 11 Feb…
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generationby Yan Lin, Jilin Hu, Shengnan…
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Surveyby Taojie…
Depth Separations in Neural Networks: Separating the Dimension from the Accuracyby Itay Safran, Daniel Reichman,…
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domainsby Minglang…
Physics-Informed Neural Networks with Hard Linear Equality Constraintsby Hao Chen, Gonzalo E. Constante Flores, Can…