Search Results for author:
Found 7 papers, 1 papers with code
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
In this paper, we study the mistake bound of online kernel learning on a budget.
TKwinFormer: Top k Window Attention in Vision Transformers for Feature Matching
Local feature matching remains a challenging task, primarily due to difficulties in matching sparse keypoints and low-texture regions.
Super-efficiency of Listed Banks in China and Determinants Analysis (2006-2021)
This study employs the annual unbalanced panel data of 42 listed banks in China from 2006 to 2021, adopts the non-radial and non-oriented super-efficiency Data envelopment analysis (Super-SBM-UND-VRS based DEA) model considering NPL as undesired output.
Path Integral Based Convolution and Pooling for Heterogeneous Graph Neural Networks
In the initial PAN paper, it uses a path integral based graph neural networks for graph prediction.
Scalable Polar Code Construction for Successive Cancellation List Decoding: A Graph Neural Network-Based Approach
In addition, when an IMP model trained on a length-128 polar code directly applies to the construction of polar codes with different code rates and blocklengths, simulations show that these polar code constructions deliver comparable performance to the 5G polar codes.
Construction of Polar Codes with Reinforcement Learning
This paper formulates the polar-code construction problem for the successive-cancellation list (SCL) decoder as a maze-traversing game, which can be solved by reinforcement learning techniques.
Deep Neural Network Symbol Detection for Millimeter Wave Communications
This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems such that CSI acquisition can be bypassed.
