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"Time": models, code, and papers
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A Systematic Review for Transformer-based Long-term Series Forecasting

Oct 31, 2023
Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang

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Large Language Models' Understanding of Math: Source Criticism and Extrapolation

Nov 12, 2023
Roozbeh Yousefzadeh, Xuenan Cao

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Castor: Causal Temporal Regime Structure Learning

Nov 02, 2023
Abdellah Rahmani, Pascal Frossard

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DPATD: Dual-Phase Audio Transformer for Denoising

Oct 30, 2023
Junhui Li, Pu Wang, Jialu Li, Xinzhe Wang, Youshan Zhang

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Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection

Sep 30, 2023
Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu

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U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation

Nov 10, 2023
Jiaxu Liu, Zhengdi Yu, Toby P. Breckon, Hubert P. H. Shum

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MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty

Nov 10, 2023
Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi

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Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks

Nov 10, 2023
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala

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Testing LLMs on Code Generation with Varying Levels of Prompt Specificity

Nov 10, 2023
Lincoln Murr, Morgan Grainger, David Gao

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GeoFormer: Predicting Human Mobility using Generative Pre-trained Transformer (GPT)

Nov 09, 2023
Aivin V. Solatorio

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