research
∙
07/20/2023
Layer-wise Representation Fusion for Compositional Generalization
Despite successes across a broad range of applications, sequence-to-sequ...
share
research
∙
05/20/2023
Learn to Compose Syntactic and Semantic Representations Appropriately for Compositional Generalization
Recent studies have shown that sequence-to-sequence (Seq2Seq) models are...
research
∙
03/14/2023
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference
A popular approach to streaming speech translation is to employ a single...
research
∙
12/09/2022
MOPRD: A multidisciplinary open peer review dataset
Open peer review is a growing trend in academic publications. Public acc...
research
∙
11/26/2022
Towards Better Document-level Relation Extraction via Iterative Inference
Document-level relation extraction (RE) aims to extract the relations be...
research
∙
09/28/2022
Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers
Source code is essential for researchers to reproduce the methods and re...
research
∙
04/11/2022
ConSLT: A Token-level Contrastive Framework for Sign Language Translation
Sign language translation (SLT) is an important technology that can brid...
research
∙
11/15/2021
Automated scholarly paper review: Technologies and challenges
Peer review is a widely accepted mechanism for research evaluation, play...
research
∙
06/18/2019
Convolutional neural network models for cancer type prediction based on gene expression
Background Precise prediction of cancer types is vital for cancer diagno...
research
∙
04/24/2019
Asynchronous "Events" are Better For Motion Estimation
Event-based camera is a bio-inspired vision sensor that records intensit...
research
∙
07/12/2018
Multi-Perspective Neural Architecture for Recommendation System
Currently, there starts a research trend to leverage neural architecture...
research
∙
05/21/2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
Bioinformatics tools have been developed to interpret gene expression da...
research
∙
05/20/2018
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
The study of high-throughput genomic profiles from a pharmacogenomics vi...
research
∙
12/05/2017