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06/01/2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
Information extraction, e.g., attribute value extraction, has been exten...
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09/14/2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
Automatic Speech Recognition models require large amount of speech data ...
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06/08/2021
PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Understanding product attributes plays an important role in improving on...
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03/02/2021
Learning with Hyperspherical Uniformity
Due to the over-parameterization nature, neural networks are a powerful ...
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04/09/2020
Orthogonal Over-Parameterized Training
The inductive bias of a neural network is largely determined by the arch...
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06/12/2019
Compressive Hyperspherical Energy Minimization
Recent work on minimum hyperspherical energy (MHE) has demonstrated its ...
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05/23/2018
Learning towards Minimum Hyperspherical Energy
Neural networks are a powerful class of nonlinear functions that can be ...
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05/22/2018
Deformable Part Networks
In this paper we propose novel Deformable Part Networks (DPNs) to learn ...
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04/22/2018
Decoupled Networks
Inner product-based convolution has been a central component of convolut...
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11/15/2015
