Search Results for author:
Found 14 papers, 3 papers with code
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
In this work, we propose a novel reinforcement learning (RL) setup for drug discovery that addresses this challenge by embedding the concept of synthetic accessibility directly into the de novo compound design system.
Continual Learning for Neural Machine Translation
In practical applications, NMT models are usually trained on a general domain corpus and then fine-tuned by continuing training on the in-domain corpus.
Incorporating BERT into Parallel Sequence Decoding with Adapters
Our framework is based on a parallel sequence decoding algorithm named Mask-Predict considering the bi-directional and conditional independent nature of BERT, and can be adapted to traditional autoregressive decoding easily.
Iterative Domain-Repaired Back-Translation
In this paper, we focus on the domain-specific translation with low resources, where in-domain parallel corpora are scarce or nonexistent.
Themes Informed Audio-visual Correspondence Learning
The applications of short-term user-generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks.
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Over the last decade, there has been significant progress in the field of machine learning for de novo drug design, particularly in deep generative models.
GRET: Global Representation Enhanced Transformer
The encoder maps the words in the input sentence into a sequence of hidden states, which are then fed into the decoder to generate the output sentence.
Objects detection for remote sensing images based on polar coordinates
In this article, we introduce the polar coordinate system to the deep learning detector for the first time, and propose an anchor free Polar Remote Sensing Object Detector (P-RSDet), which can achieve competitive detection accuracy via uses simpler object representation model and less regression parameters.
Oriented Objects as pairs of Middle Lines
It is noteworthy that the objects in COCO can be regard as a special form of oriented objects with an angle of 90 degrees.
Ranked #16 on
Oriented Object Detection
on DOTA 1.0
Generating Diverse Translation by Manipulating Multi-Head Attention
Experiments also show that back-translation with these diverse translations could bring significant improvement on performance on translation tasks.
Multiple-objective Reinforcement Learning for Inverse Design and Identification
The aim of the inverse chemical design is to develop new molecules with given optimized molecular properties or objectives.
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
We build a profitable electronic trading agent with Reinforcement Learning that places buy and sell orders in the stock market.
Model-based Reinforcement Learning
reinforcement-learning
+2
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
Motivated by the development of deep convolution neural networks (DCNNs), tremendous progress has been gained in the field of aircraft detection.
Online Distilling from Checkpoints for Neural Machine Translation
Our method on-the-fly generates a teacher model from checkpoints, guiding the training process to obtain better performance.
