Summary of Denoising-aware Contrastive Learning For Noisy Time Series, by Shuang Zhou et al.
Denoising-Aware Contrastive Learning for Noisy Time Seriesby Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang,…
Summary of Cooperative Meta-learning with Gradient Augmentation, by Jongyun Shin et al.
Cooperative Meta-Learning with Gradient Augmentationby Jongyun Shin, Seunjin Han, Jangho KimFirst submitted to arxiv on:…
Summary of Linkgpt: Teaching Large Language Models to Predict Missing Links, by Zhongmou He et al.
LinkGPT: Teaching Large Language Models To Predict Missing Linksby Zhongmou He, Jing Zhu, Shengyi Qian,…
Summary of On Regularization Via Early Stopping For Least Squares Regression, by Rishi Sonthalia and Jackie Lok and Elizaveta Rebrova
On Regularization via Early Stopping for Least Squares Regressionby Rishi Sonthalia, Jackie Lok, Elizaveta RebrovaFirst…
Summary of Detra: a Unified Model For Object Detection and Trajectory Forecasting, by Sergio Casas et al.
DeTra: A Unified Model for Object Detection and Trajectory Forecastingby Sergio Casas, Ben Agro, Jiageng…
Summary of Clipping Improves Adam-norm and Adagrad-norm When the Noise Is Heavy-tailed, by Savelii Chezhegov et al.
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailedby Savelii Chezhegov, Yaroslav Klyukin, Andrei…
Summary of Can Language Models Use Forecasting Strategies?, by Sarah Pratt et al.
Can Language Models Use Forecasting Strategies?by Sarah Pratt, Seth Blumberg, Pietro Kreitlon Carolino, Meredith Ringel…
Summary of On the Hardness Of Probabilistic Neurosymbolic Learning, by Jaron Maene et al.
On the Hardness of Probabilistic Neurosymbolic Learningby Jaron Maene, Vincent Derkinderen, Luc De RaedtFirst submitted…
Summary of A Multi-core Periphery Perspective: Ranking Via Relative Centrality, by Chandra Sekhar Mukherjee et al.
A multi-core periphery perspective: Ranking via relative centralityby Chandra Sekhar Mukherjee, Jiapeng ZhangFirst submitted to…
Summary of Provable Bounds on the Hessian Of Neural Networks: Derivative-preserving Reachability Analysis, by Sina Sharifi et al.
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysisby Sina Sharifi, Mahyar FazlyabFirst…