Summary of Learning From Simplicial Data Based on Random Walks and 1d Convolutions, by Florian Frantzen et al.
Learning From Simplicial Data Based on Random Walks and 1D Convolutionsby Florian Frantzen, Michael T.…
Summary of Theoretical and Empirical Insights Into the Origins Of Degree Bias in Graph Neural Networks, by Arjun Subramonian et al.
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networksby Arjun…
Summary of Information-theoretic Generalization Bounds For Deep Neural Networks, by Haiyun He et al.
Information-Theoretic Generalization Bounds for Deep Neural Networksby Haiyun He, Christina Lee Yu, Ziv GoldfeldFirst submitted…
Summary of Factual: a Novel Framework For Contrastive Learning Based Robust Sar Image Classification, by Xu Wang et al.
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classificationby Xu Wang, Tian…
Summary of Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles, by Leonardo Arrighi et al.
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensemblesby Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares,…
Summary of Bcamirs at Semeval-2024 Task 4: Beyond Words: a Multimodal and Multilingual Exploration Of Persuasion in Memes, by Amirhossein Abaskohi et al.
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in…
Summary of Generative-enhanced Heterogeneous Graph Contrastive Learning, by Yu Wang et al.
Generative-Enhanced Heterogeneous Graph Contrastive Learningby Yu Wang, Lei Sang, Yi Zhang, Yiwen ZhangFirst submitted to…
Summary of Guarantees Of Confidentiality Via Hammersley-chapman-robbins Bounds, by Kamalika Chaudhuri et al.
Guarantees of confidentiality via Hammersley-Chapman-Robbins boundsby Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed…
Summary of On the Efficiency and Robustness Of Vibration-based Foundation Models For Iot Sensing: a Case Study, by Tomoyoshi Kimura et al.
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Studyby…
Summary of Incremental Learning with Concept Drift Detection and Prototype-based Embeddings For Graph Stream Classification, by Kleanthis Malialis and Jin Li and Christos G. Panayiotou and Marios M. Polycarpou
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classificationby Kleanthis Malialis,…