Summary of Conformal-in-the-loop For Learning with Imbalanced Noisy Data, by John Brandon Graham-knight et al.
Conformal-in-the-Loop for Learning with Imbalanced Noisy Databy John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi, Patricia…
Summary of Madod: Generalizing Ood Detection to Unseen Domains Via G-invariance Meta-learning, by Haoliang Wang et al.
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learningby Haoliang Wang, Chen Zhao, Feng…
Summary of Multi-modal Biometric Authentication: Leveraging Shared Layer Architectures For Enhanced Security, by Vatchala S et al.
Multi-modal biometric authentication: Leveraging shared layer architectures for enhanced securityby Vatchala S, Yogesh C, Yeshwanth…
Summary of Optimal Classification Under Performative Distribution Shift, by Edwige Cyffers (magnet) et al.
Optimal Classification under Performative Distribution Shiftby Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier CappéFirst…
Summary of Leveraging Label Semantics and Meta-label Refinement For Multi-label Question Classification, by Shi Dong and Xiaobei Niu and Rui Zhong and Zhifeng Wang and Mingzhang Zuo
Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question Classificationby Shi Dong, Xiaobei Niu, Rui…
Summary of Causal Discovery and Classification Using Lempel-ziv Complexity, by Dhruthi et al.
Causal Discovery and Classification Using Lempel-Ziv Complexityby Dhruthi, Nithin Nagaraj, Harikrishnan N BFirst submitted to…
Summary of Lorentz-equivariant Quantum Graph Neural Network For High-energy Physics, by Md Abrar Jahin et al.
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physicsby Md Abrar Jahin, Md. Akmol Masud, Md…
Summary of Enriching Tabular Data with Contextual Llm Embeddings: a Comprehensive Ablation Study For Ensemble Classifiers, by Gjergji Kasneci and Enkelejda Kasneci
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiersby Gjergji…
Summary of Anomalous Client Detection in Federated Learning, by Dipanwita Thakur et al.
Anomalous Client Detection in Federated Learningby Dipanwita Thakur, Antonella Guzzo, Giancarlo FortinoFirst submitted to arxiv…
Summary of Sparc: Spectral Architectures Tackling the Cold-start Problem in Graph Learning, by Yahel Jacobs et al.
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learningby Yahel Jacobs, Reut Dayan, Uri…