research
∙
06/07/2023
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
The hybrid architecture of convolution neural networks (CNN) and Transfo...
share
research
∙
06/06/2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
The hybrid architecture of convolutional neural networks (CNNs) and Tran...
research
∙
06/03/2023
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
Popular Transformer networks have been successfully applied to remote se...
research
∙
04/11/2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...
research
∙
04/04/2023
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Multi-vector retrieval models such as ColBERT [Khattab and Zaharia, 2020...
research
∙
03/17/2023
CoLT5: Faster Long-Range Transformers with Conditional Computation
Many natural language processing tasks benefit from long inputs, but pro...
research
∙
12/04/2022
Lightweight Facial Attractiveness Prediction Using Dual Label Distribution
Facial attractiveness prediction (FAP) aims to assess the facial attract...
research
∙
11/02/2022
Multi-Vector Retrieval as Sparse Alignment
Multi-vector retrieval models improve over single-vector dual encoders o...
research
∙
05/25/2022
Training Language Models with Memory Augmentation
Recent work has improved language models remarkably by equipping them wi...
research
∙
05/23/2022
Simple Recurrence Improves Masked Language Models
In this work, we explore whether modeling recurrence into the Transforme...
research
∙
02/18/2022
Mixture-of-Experts with Expert Choice Routing
Sparsely-activated Mixture-of-experts (MoE) models allow the number of p...
research
∙
10/11/2021
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition
The Transformer architecture has been well adopted as a dominant archite...
research
∙
08/17/2021
Channel-Temporal Attention for First-Person Video Domain Adaptation
Unsupervised Domain Adaptation (UDA) can transfer knowledge from labeled...
research
∙
06/22/2021
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
This report describes the technical details of our submission to the EPI...
research
∙
04/08/2021
Nutribullets Hybrid: Multi-document Health Summarization
We present a method for generating comparative summaries that highlights...
research
∙
03/22/2021
Nutri-bullets: Summarizing Health Studies by Composing Segments
We introduce Nutri-bullets, a multi-document summarization task for heal...
research
∙
02/24/2021
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
Large language models have become increasingly difficult to train becaus...
research
∙
09/28/2020
Medical Image Segmentation Using Deep Learning: A Survey
Deep learning has been widely used for medical image segmentation and a ...
research
∙
09/15/2020
Autoregressive Knowledge Distillation through Imitation Learning
The performance of autoregressive models on natural language generation ...
research
∙
05/27/2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
Selecting input features of top relevance has become a popular method fo...
research
∙
05/21/2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition
In this paper we present state-of-the-art (SOTA) performance on the Libr...
research
∙
11/09/2019
Interactive Classification by Asking Informative Questions
Natural language systems often rely on a single, potentially ambiguous i...
research
∙
11/04/2019
Metric Learning for Dynamic Text Classification
Traditional text classifiers are limited to predicting over a fixed set ...
research
∙
10/10/2019
Structured Pruning of Large Language Models
Large language models have recently achieved state of the art performanc...
research
∙
06/07/2019
Building a Production Model for Retrieval-Based Chatbots
Response suggestion is an important task for building human-computer con...
research
∙
04/08/2019
Adaptive Morphological Reconstruction for Seeded Image Segmentation
Morphological reconstruction (MR) is often employed by seeded image segm...
research
∙
03/12/2019
Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment
An edge computing environment features multiple edge servers and multipl...
research
∙
09/07/2018
Adversarial Domain Adaptation for Duplicate Question Detection
We address the problem of detecting duplicate questions in forums, which...
research
∙
09/08/2017
Training RNNs as Fast as CNNs
Common recurrent neural network architectures scale poorly due to the in...
research
∙
05/26/2017
Style Transfer from Non-Parallel Text by Cross-Alignment
This paper focuses on style transfer on the basis of non-parallel text. ...
research
∙
05/25/2017
Deriving Neural Architectures from Sequence and Graph Kernels
The design of neural architectures for structured objects is typically g...
research
∙
06/13/2016
Rationalizing Neural Predictions
Prediction without justification has limited applicability. As a remedy,...
research
∙
12/17/2015
Semi-supervised Question Retrieval with Gated Convolutions
Question answering forums are rapidly growing in size with no effective ...
research
∙
08/17/2015
