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04/24/2023
Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction
Recently deep learning based quantitative structure-activity relationshi...
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02/14/2023
Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking?
Molecular docking, given a ligand molecule and a ligand binding site (ca...
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02/14/2023
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
Molecular conformation generation (MCG) is a fundamental and important p...
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02/13/2023
Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM
The central problem in cryo-electron microscopy (cryo-EM) is to recover ...
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03/17/2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
The predictive learning of spatiotemporal sequences aims to generate fut...
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11/25/2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
Modern online advertising systems inevitably rely on personalization met...
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09/08/2019
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Many real-world applications reveal difficulties in learning classifiers...
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09/08/2019
Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness
Many real-world applications reveal difficulties in learning classifiers...
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08/28/2018
Why Do Neural Response Generation Models Prefer Universal Replies?
Recent advances in sequence-to-sequence learning reveal a purely data-dr...
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04/17/2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
We present PredRNN++, an improved recurrent network for video predictive...
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01/10/2017