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05/13/2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Anytime neural networks (AnytimeNNs) are a promising solution to adaptiv...
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04/27/2023
Retrieval-based Knowledge Augmented Vision Language Pre-training
With recent progress in large-scale vision and language representation l...
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01/26/2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Neural Architecture Search (NAS) is widely used to automatically design ...
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01/01/2023
Efficient On-device Training via Gradient Filtering
Despite its importance for federated learning, continuous learning and m...
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01/31/2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning
Graph Neural Networks (GNNs) have demonstrated a great potential in a va...
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07/19/2021
Learning Attributed Graph Representations with Communicative Message Passing Transformer
Constructing appropriate representations of molecules lies at the core o...
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05/26/2021
BioNavi-NP: Biosynthesis Navigator for Natural Products
Nature, a synthetic master, creates more than 300,000 natural products (...
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12/16/2020
Communicative Message Passing for Inductive Relation Reasoning
Relation prediction for knowledge graphs aims at predicting missing rela...
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07/02/2019
