research
∙
05/18/2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Generative pre-trained Transformer (GPT) has demonstrates its great succ...
share
research
∙
05/12/2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Summarization models often generate text that is poorly calibrated to qu...
research
∙
01/31/2023
Retrosynthetic Planning with Dual Value Networks
Retrosynthesis, which aims to find a route to synthesize a target molecu...
research
∙
10/19/2022
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Pre-trained language models have attracted increasing attention in the b...
research
∙
07/14/2022
Unified 2D and 3D Pre-Training of Molecular Representations
Molecular representation learning has attracted much attention recently....
research
∙
06/20/2022
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training
Drug-Target Affinity (DTA) prediction is an essential task for drug disc...
research
∙
02/03/2022
Direct Molecular Conformation Generation
Molecular conformation generation aims to generate three-dimensional coo...
research
∙
10/29/2021
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Understanding protein sequences is vital and urgent for biology, healthc...
research
∙
09/27/2021
Discovering Drug-Target Interaction Knowledge from Biomedical Literature
The Interaction between Drugs and Targets (DTI) in human body plays a cr...
research
∙
06/17/2021
Dual-view Molecule Pre-training
Inspired by its success in natural language processing and computer visi...
research
∙
04/11/2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Transformer architecture achieves great success in abundant natural lang...
research
∙
03/05/2021
IOT: Instance-wise Layer Reordering for Transformer Structures
With sequentially stacked self-attention, (optional) encoder-decoder att...
research
∙
10/19/2020
COSEA: Convolutional Code Search with Layer-wise Attention
Semantic code search, which aims to retrieve code snippets relevant to a...
research
∙
10/15/2020
Masked Contrastive Representation Learning for Reinforcement Learning
Improving sample efficiency is a key research problem in reinforcement l...
research
∙
09/12/2020
DualLip: A System for Joint Lip Reading and Generation
Lip reading aims to recognize text from talking lip, while lip generatio...
research
∙
07/10/2020
Learn to Use Future Information in Simultaneous Translation
Simultaneous neural machine translation (briefly, NMT) has attracted muc...
research
∙
07/09/2020
Learning to Teach with Deep Interactions
Machine teaching uses a meta/teacher model to guide the training of a st...
research
∙
06/18/2020
Multi-branch Attentive Transformer
While the multi-branch architecture is one of the key ingredients to the...
research
∙
05/17/2020
Dual Learning: Theoretical Study and an Algorithmic Extension
Dual learning has been successfully applied in many machine learning app...
research
∙
04/09/2020
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
An unsupervised image-to-image translation (UI2I) task deals with learni...
research
∙
02/17/2020
Incorporating BERT into Neural Machine Translation
The recently proposed BERT has shown great power on a variety of natural...
research
∙
11/07/2019
Microsoft Research Asia's Systems for WMT19
We Microsoft Research Asia made submissions to 11 language directions in...
research
∙
08/25/2019
Efficient Bidirectional Neural Machine Translation
The encoder-decoder based neural machine translation usually generates a...
research
∙
08/25/2019
Multilingual Neural Machine Translation with Language Clustering
Multilingual neural machine translation (NMT), which translates multiple...
research
∙
07/03/2019
Depth Growing for Neural Machine Translation
While very deep neural networks have shown effectiveness for computer vi...
research
∙
06/01/2019
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation
Image-to-image translation models have shown remarkable ability on trans...
research
∙
06/01/2019
Learning to Transfer: Unsupervised Meta Domain Translation
Unsupervised domain translation has recently achieved impressive perform...
research
∙
05/29/2019
Image-to-Image Translation with Multi-Path Consistency Regularization
Image translation across different domains has attracted much attention ...
research
∙
05/25/2019
Soft Contextual Data Augmentation for Neural Machine Translation
While data augmentation is an important trick to boost the accuracy of d...
research
∙
02/11/2019
Unpaired Image-to-Image Translation with Domain Supervision
Image-to-image translation has been widely investigated in recent years....
research
∙
10/29/2018
Learning to Teach with Dynamic Loss Functions
Teaching is critical to human society: it is with teaching that prospect...
research
∙
05/25/2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
Policy evaluation with linear function approximation is an important pro...
research
∙
05/01/2018
Conditional Image-to-Image Translation
Image-to-image translation tasks have been widely investigated with Gene...
research
∙
03/15/2018
Achieving Human Parity on Automatic Chinese to English News Translation
Machine translation has made rapid advances in recent years. Millions of...
research
∙
07/03/2017
Dual Supervised Learning
Many supervised learning tasks are emerged in dual forms, e.g., English-...
research
∙
04/20/2017
Adversarial Neural Machine Translation
In this paper, we study a new learning paradigm for Neural Machine Trans...
research
∙
11/01/2016
