SynthVision – Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image…
PowerGraph: A power grid benchmark dataset for graph neural networksby Anna Varbella, Kenza Amara, Blazhe…
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methodsby Bo-Kyeong Kim,…
Enhancing Compositional Generalization via Compositional Feature Alignmentby Haoxiang Wang, Haozhe Si, Huajie Shao, Han ZhaoFirst…
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learningby Abdelhakim Benechehab, Albert…
Rethinking Explainable Machine Learning as Applied Statisticsby Sebastian Bordt, Eric Raidl, Ulrike von LuxburgFirst submitted…
Graph Neural Machine: A New Model for Learning with Tabular Databy Giannis Nikolentzos, Siyun Wang,…
Time-, Memory- and Parameter-Efficient Visual Adaptationby Otniel-Bogdan Mercea, Alexey Gritsenko, Cordelia Schmid, Anurag ArnabFirst submitted…
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are…
Black-Box Approximation and Optimization with Hierarchical Tucker Decompositionby Gleb Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan…