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06/01/2023
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
We propose a simple approach for the abstractive summarization of long l...
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11/21/2022
Time-reversal equivariant neural network potential and Hamiltonian for magnetic materials
This work presents Time-reversal Equivariant Neural Network (TENN) frame...
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11/06/2022
Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions
Though many algorithms can be used to automatically summarize legal case...
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10/28/2022
Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids
Machine learning, especially deep learning, can build a direct mapping f...
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03/06/2022
Graph Neural Network Potential for Magnetic Materials
Machine Learning (ML) interatomic potential has shown its great power in...
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02/28/2022
A Machine Learning Generative Method for Automating Antenna Design and Optimization
To facilitate the antenna design with the aid of computer, one of the pr...
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01/15/2022
Edge-based Tensor prediction via graph neural networks
Message-passing neural networks (MPNN) have shown extremely high efficie...
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05/05/2020
Neural CRF Model for Sentence Alignment in Text Simplification
The success of a text simplification system heavily depends on the quali...
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11/23/2019
Discourse Level Factors for Sentence Deletion in Text Simplification
This paper presents a data-driven study focusing on analyzing and predic...
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08/16/2019
Pseudo-task Regularization for ConvNet Transfer Learning
This paper is about regularizing deep convolutional networks (ConvNets) ...
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10/02/2018
Target Aware Network Adaptation for Efficient Representation Learning
This paper presents an automatic network adaptation method that finds a ...
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02/12/2016
Face Attribute Prediction Using Off-the-Shelf CNN Features
Predicting attributes from face images in the wild is a challenging comp...
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02/04/2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Predicting facial attributes from faces in the wild is very challenging ...
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06/15/2015
