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Found 9 papers, 2 papers with code
Retrosynthetic Planning with Dual Value Networks
Here, we leverage reinforcement learning (RL) to improve the single-step predictor, by using a tree-shaped MDP to optimize complete routes while retaining single-step accuracy.
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Recent advancements in computer vision promise to automate medical image analysis.
Learning to Extend Molecular Scaffolds with Structural Motifs
Recent advancements in deep learning-based modeling of molecules promise to accelerate in silico drug discovery.
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
To this end, we introduce a new benchmarking dataset, consisting of 49426 images (top-view and street-view) of 9674 buildings.
Flexible Multi-task Networks by Learning Parameter Allocation
The binary allocation variables are learned jointly with the model parameters by standard back-propagation thanks to the Gumbel-Softmax reparametrization method.
Ranked #1 on
Multi-Task Learning
on OMNIGLOT
Evo-NAS: Evolutionary-Neural Hybrid Agent for Architecture Search
We show that the Evo-NAS agent outperforms both neural and evolutionary agents when applied to architecture search for a suite of text and image classification benchmarks.
Gumbel-Matrix Routing for Flexible Multi-task Learning
We propose the Gumbel-Matrix routing, a novel multi-task routing method based on the Gumbel-Softmax, that is designed to learn fine-grained parameter sharing.
Evolutionary-Neural Hybrid Agents for Architecture Search
We show that the Evo-NAS agent outperforms both neural and evolutionary agents when applied to architecture search for a suite of text and image classification benchmarks.
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
In this work, we address these challenges and finally realize the promise of conditional computation, achieving greater than 1000x improvements in model capacity with only minor losses in computational efficiency on modern GPU clusters.
Ranked #14 on
Language Modelling
on One Billion Word
