分贝 发表于 2025-3-26 22:45:25
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620545.jpg柔软 发表于 2025-3-27 04:26:48
https://doi.org/10.1007/978-3-031-70344-7artificial intelligence; computer security; computer systems; computer vision; computational modelling; d喧闹 发表于 2025-3-27 08:01:29
0302-9743 k: .The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X..978-3-031-70343-0978-3-031-70344-7Series ISSN 0302-9743 Series E-ISSN 1611-3349上下连贯 发表于 2025-3-27 10:48:32
Landscape Analysis of Stochastic Policy Gradient Methodse population and the empirical objective. In particular, our findings are agnostic to the choice of the algorithm and hold for a wide range of gradient-based methods. Consequently, we are able to recover and improve numerous existing results through the vanilla policy gradient. To the best of our kndiscord 发表于 2025-3-27 16:20:24
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Frequency Enhanced Pre-training for Cross-City Few-shot Traffic Forecastingime and frequency domain and trains it with self-supervised tasks encompassing reconstruction and contrastive objectives. In the fine-tuning stage, we design modules to enrich training samples and maintain a momentum-updated graph structure, thereby mitigating the risk of overfitting to the few-shot催眠药 发表于 2025-3-28 01:08:10
Simple Graph Condensationoduce the Simple Graph Condensation (SimGC) framework, which aligns the condensed graph with the original graph from the input layer to the prediction layer, guided by a pre-trained Simple Graph Convolution (SGC) model on the original graph. Importantly, SimGC eliminates external parameters and exclBOOM 发表于 2025-3-28 05:31:15
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