🔥 This repo collects top international conference papers, codes about Spiking Neural Networks for anyone who wants to do research on it. We are continuously improving the project. The part of 2018-2021 is referenced in Awesome-SNN-Paper-Collection. The part of 2022 is referenced in 2022年顶...
A Regression Model and Evidence for Online News Everyone’s a Winner! On Hyperparameter Tuning of Recommendation Models What We Evaluate When We Evaluate Recommender Systems: Understanding Recommender Systems’ Performance using Item Response Theory Identifying Controversial Pairs in Item-to-Item ...
2485 BEAST: ONLINE JOINT BEAT AND DOWNBEAT TRACKING BASED ON STREAMING TRANSFORMER 5332 BENCHMARKING ADVERSARIAL ROBUSTNESS OF IMAGE SHADOW REMOVAL WITH SHADOW-ADAPTIVE ATTACKS 9173 BETA QUANTILE REGRESSION FOR ROBUST ESTIMATION OF UNCERTAINTY IN THE PRESENCE OF OUTLIERS 6244 BEVLOC: END-TO-END 6-DOF...
and various implementation and operational issues are discussed. Properties of the estimators of the regression coefficients are evaluated through Monte Carlo experiments and compared with other procedures. The performance of this novel family of models is also illustrated on artificial and real data, wit...
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence We propose a randomized second-order method for optimization known as the Newton Sketch: it is based on performing an approximate Newton step using a rando... M Pilanci,MJ Wainwright - 《Mathematics》 被引量: ...
form the best linear forecasts for future volatility we find that the behavioral model generates sensible forecasts that get close to those of a standard GARCH(1,1) model in their overall performance, and often provide useful information on top of the information incorporated in the GARCH ...
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI 2020. paper Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang. Inductive Matrix Completion Based on Graph Neural Networks. ICLR 2020. paper Muhan Zhang, Yixin Chen. Computer Vision Graph...
Testing the equality of two regression curves using linear smoothers Suppose that data (y, z) are observed from two regression models, y = f(x) + [var epsilon] and z = g(x) + [eta]. Of interest is testing the hypothesis H: f [triple bond; length as m-dash] g without assuming ...
摘要:近日,《IEEE/ASME Transactions on Mechatronics》刊登了一篇描述爬树机器人的论文。论文作者设计了一款名为 Amaran 的爬树机器人,它可以代替人类采摘员爬上高达十几米的椰子树采摘椰子。 在实验室测试过程中,Megalingam 及其同事发现,当树干与垂直轴的倾角达到 30 度时,Amaran 能够顺利爬上椰子树。在一些特定环...
Internal learning for single-image generation is a framework, where a generator is trained to produce novel images based on a single image. Image Generation Meta-Learning +1 12 Paper Code Revisiting Linear Decision Boundaries for Few-Shot Learning with Transformer Hypernetworks no code implementatio...