3 papers
cs.LG2026
Exploring Oversmoothing with Householder Matrices
Bhaskar Karol
Deep graph neural networks(GNNs) suffer from oversmoothing- a progressive collapse of node representation towards a low information subspace as network depth increases because the…
cs.CV2025
Enhancing Multi-Image Question Answering via Submodular Subset Selection
Aaryan Sharma, Shivansh Gupta, Samar Agarwal +2
Large multimodal models (LMMs) have achieved high performance in vision-language tasks involving single image but they struggle when presented with a collection of multiple images…
cs.LG2024
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde +6
Tabular data is one of the most commonly used types of data in machine learning. Despite recent advances in neural nets (NNs) for tabular data, there is still an active discussion…