Summary of A Unified Framework For Entropy Search and Expected Improvement in Bayesian Optimization, by Nuojin Cheng et al.
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimizationby Nuojin Cheng, Leonard…
Summary of Convolutional Two-stream Network Fusion For Video Action Recognition, by Christoph Feichtenhofer et al.
Convolutional Two-Stream Network Fusion for Video Action Recognitionby Christoph Feichtenhofer, Axel Pinz, Andrew ZissermanFirst submitted…
Summary of Learning Disentangled Representation For Robust Person Re-identification, by Chanho Eom et al.
Learning Disentangled Representation for Robust Person Re-identificationby Chanho Eom, Bumsub HamFirst submitted to arxiv on:…
Summary of Attention Is All You Need, by Ashish Vaswani et al.
Attention Is All You Needby Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones,…
Summary of Event Prediction in the Big Data Era: a Systematic Survey, by Liang Zhao
Event Prediction in the Big Data Era: A Systematic Surveyby Liang ZhaoFirst submitted to arxiv…
Summary of On the Semantics Of Abstract Argumentation Frameworks: a Logic Programming Approach, by Gianvincenzo Alfano et al.
On the Semantics of Abstract Argumentation Frameworks: A Logic Programming Approachby Gianvincenzo Alfano, Sergio Greco,…
Summary of Monocular Expressive Body Regression Through Body-driven Attention, by Vasileios Choutas et al.
Monocular Expressive Body Regression through Body-Driven Attentionby Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas,…
Summary of Robust Matrix Completion For Discrete Rating-scale Data, by Aurore Archimbaud et al.
Robust Matrix Completion for Discrete Rating-Scale Databy Aurore Archimbaud, Andreas Alfons, Ines WilmsFirst submitted to…
Summary of Frequency-masked Embedding Inference: a Non-contrastive Approach For Time Series Representation Learning, by En Fu et al.
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learningby En Fu, Yanyan HuFirst…
Summary of Timeraf: Retrieval-augmented Foundation Model For Zero-shot Time Series Forecasting, by Huanyu Zhang et al.
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecastingby Huanyu Zhang, Chang Xu, Yi-Fan Zhang,…