Summary of Castor: Competing Shapelets For Fast and Accurate Time Series Classification, by Isak Samsten and Zed Lee
Castor: Competing shapelets for fast and accurate time series classificationby Isak Samsten, Zed LeeFirst submitted…
Summary of Just Shift It: Test-time Prototype Shifting For Zero-shot Generalization with Vision-language Models, by Elaine Sui et al.
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Modelsby Elaine Sui, Xiaohan…
Summary of Entangling Machine Learning with Quantum Tensor Networks, by Constantijn Van Der Poel et al.
Entangling Machine Learning with Quantum Tensor Networksby Constantijn van der Poel, Dan ZhaoFirst submitted to…
Summary of Audio-visual Compound Expression Recognition Method Based on Late Modality Fusion and Rule-based Decision, by Elena Ryumina et al.
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decisionby Elena Ryumina,…
Summary of Non-negative Contrastive Learning, by Yifei Wang et al.
Non-negative Contrastive Learningby Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen WangFirst submitted to arxiv on:…
Summary of A Trainable Feature Extractor Module For Deep Neural Networks and Scanpath Classification, by Wolfgang Fuhl
A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classificationby Wolfgang FuhlFirst submitted…
Summary of Deciphering Automl Ensembles: Cattleia’s Assistance in Decision-making, by Anna Kozak et al.
Deciphering AutoML Ensembles: cattleia’s Assistance in Decision-Makingby Anna Kozak, Dominik Kędzierski, Jakub Piwko, Malwina Wojewoda,…
Summary of Improving Interpretability Of Scores in Anomaly Detection Based on Gaussian-bernoulli Restricted Boltzmann Machine, by Kaiji Sekimoto and Muneki Yasuda
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machineby Kaiji Sekimoto,…
Summary of Cross-domain Pre-training with Language Models For Transferable Time Series Representations, by Mingyue Cheng et al.
Cross-Domain Pre-training with Language Models for Transferable Time Series Representationsby Mingyue Cheng, Xiaoyu Tao, Qi…
Summary of Advancing Time Series Classification with Multimodal Language Modeling, by Mingyue Cheng et al.
Advancing Time Series Classification with Multimodal Language Modelingby Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding…