Summary of The Solution For the Aigc Inference Performance Optimization Competition, by Sishun Pan et al.
The Solution for the AIGC Inference Performance Optimization Competitionby Sishun Pan, Haonan Xu, Zhonghua Wan,…
Summary of Rethinking Visual Prompting For Multimodal Large Language Models with External Knowledge, by Yuanze Lin et al.
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledgeby Yuanze Lin, Yunsheng Li,…
Summary of Unified Interpretation Of Smoothing Methods For Negative Sampling Loss Functions in Knowledge Graph Embedding, by Xincan Feng et al.
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embeddingby Xincan…
Summary of Accelerating Communication in Deep Learning Recommendation Model Training with Dual-level Adaptive Lossy Compression, by Hao Feng et al.
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compressionby Hao Feng,…
Summary of Tackling Data Corruption in Offline Reinforcement Learning Via Sequence Modeling, by Jiawei Xu et al.
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modelingby Jiawei Xu, Rui Yang, Shuang…
Summary of How Jepa Avoids Noisy Features: the Implicit Bias Of Deep Linear Self Distillation Networks, by Etai Littwin et al.
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networksby Etai…
Summary of Neural Probabilistic Logic Learning For Knowledge Graph Reasoning, by Fengsong Sun et al.
Neural Probabilistic Logic Learning for Knowledge Graph Reasoningby Fengsong Sun, Jinyu Wang, Zhiqing Wei, Xianchao…
Summary of Differential Encoding For Improved Representation Learning Over Graphs, by Haimin Zhang et al.
Differential Encoding for Improved Representation Learning over Graphsby Haimin Zhang, Jiahao Xia, Min XuFirst submitted…
Summary of Croppable Knowledge Graph Embedding, by Yushan Zhu et al.
Croppable Knowledge Graph Embeddingby Yushan Zhu, Wen Zhang, Zhiqiang Liu, Mingyang Chen, Lei Liang, Huajun…
Summary of Hc-glad: Dual Hyperbolic Contrastive Learning For Unsupervised Graph-level Anomaly Detection, by Yali Fu et al.
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detectionby Yali Fu, Jindong Li, Jiahong…