Summary of Node Regression on Latent Position Random Graphs Via Local Averaging, by Martin Gjorgjevski et al.
Node Regression on Latent Position Random Graphs via Local Averagingby Martin Gjorgjevski, Nicolas Keriven, Simon…
Summary of A Machine Learning-based Secure Face Verification Scheme and Its Applications to Digital Surveillance, by Huan-chih Wang and Ja-ling Wu
A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillanceby Huan-Chih Wang,…
Summary of Enhance Hyperbolic Representation Learning Via Second-order Pooling, by Kun Song et al.
Enhance Hyperbolic Representation Learning via Second-order Poolingby Kun Song, Ruben Solozabal, Li hao, Lu Ren,…
Summary of Refined Risk Bounds For Unbounded Losses Via Transductive Priors, by Jian Qian et al.
Refined Risk Bounds for Unbounded Losses via Transductive Priorsby Jian Qian, Alexander Rakhlin, Nikita ZhivotovskiyFirst…
Summary of Faster Local Solvers For Graph Diffusion Equations, by Jiahe Bai et al.
Faster Local Solvers for Graph Diffusion Equationsby Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua XiaoFirst…
Summary of Mitigating Paraphrase Attacks on Machine-text Detectors Via Paraphrase Inversion, by Rafael Rivera Soto et al.
Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversionby Rafael Rivera Soto, Barry Chen, Nicholas…
Summary of Dimensionality-induced Information Loss Of Outliers in Deep Neural Networks, by Kazuki Uematsu et al.
Dimensionality-induced information loss of outliers in deep neural networksby Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki,…
Summary of Minimum Entropy Coupling with Bottleneck, by M.reza Ebrahimi et al.
Minimum Entropy Coupling with Bottleneckby M.Reza Ebrahimi, Jun Chen, Ashish KhistiFirst submitted to arxiv on:…
Summary of Sequential Choice in Ordered Bundles, by Rajeev Kohli et al.
Sequential choice in ordered bundlesby Rajeev Kohli, Kriste Krstovski, Hengyu Kuang, Hengxu LinFirst submitted to…
Summary of Pushing the Limits Of All-atom Geometric Graph Neural Networks: Pre-training, Scaling and Zero-shot Transfer, by Zihan Pengmei et al.
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transferby Zihan…