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AI Poincaré: Machine Learning Conservation Laws from Trajectories
We present AI Poincaré, a machine learning algorithm for auto-discoverin...
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DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition
State-of-the-art video action recognition models with complex network ar...
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HRDNet: High-resolution Detection Network for Small Objects
Small object detection is challenging because small objects do not conta...
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Schrödinger PCA: You Only Need Variances for Eigenmodes
Principal component analysis (PCA) has achieved great success in unsuper...
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Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution
In this article, we focus on the analysis of the potential factors drivi...
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Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling
Hamiltonian Monte Carlo (HMC) is an efficient Bayesian sampling method t...
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IPG-Net: Image Pyramid Guidance Network for Object Detection
For Convolutional Neural Network based object detection, there is a typi...
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Ziming Liu
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