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09/27/2022
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction
Retrosynthesis is a major task for drug discovery. It is formulated as a...
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12/20/2021
RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction
The main target of retrosynthesis is to recursively decompose desired mo...
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06/18/2021
Bridging the Gap Between Object Detection and User Intent via Query-Modulation
When interacting with objects through cameras, or pictures, users often ...
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12/16/2020
Hierarchical Graph Capsule Network
Graph Neural Networks (GNNs) draw their strength from explicitly modelin...
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11/04/2020
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Retrosynthesis is the process of recursively decomposing target molecule...
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03/10/2020
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Unsupervised domain adaptation enables to alleviate the need for pixel-w...
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03/09/2020
Context-Aware Domain Adaptation in Semantic Segmentation
In this paper, we consider the problem of unsupervised domain adaptation...
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10/01/2019
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation
Molecule generation is to design new molecules with specific chemical pr...
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07/16/2018