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08/03/2023
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
Obtaining versions of deep neural networks that are both highly-accurate...
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06/05/2023
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Recent advances in large language model (LLM) pretraining have led to hi...
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03/25/2023
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Recent vision architectures and self-supervised training methods enable ...
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02/27/2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
In reliable decision-making systems based on machine learning, models ha...
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02/22/2023
A critical look at the evaluation of GNNs under heterophily: are we really making progress?
Node classification is a classical graph representation learning task on...
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10/14/2022
oViT: An Accurate Second-Order Pruning Framework for Vision Transformers
Models from the Vision Transformer (ViT) family have recently provided b...
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09/13/2022
Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy
Homophily is a graph property describing the tendency of edges to connec...
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06/22/2022