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07/20/2023
Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO
This paper proposes a grant-free massive access scheme based on the mill...
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06/08/2023
Open Set Relation Extraction via Unknown-Aware Training
The existing supervised relation extraction methods have achieved impres...
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06/01/2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
More and more edge devices and mobile apps are leveraging deep learning ...
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05/22/2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Pretrained language models have achieved remarkable success in various n...
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11/23/2022
Program Repair
Automated program repair is an emerging technology which consists of a s...
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08/02/2022
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Image cartoonization is recently dominated by generative adversarial net...
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06/26/2022
Multi-view Feature Augmentation with Adaptive Class Activation Mapping
We propose an end-to-end-trainable feature augmentation module built for...
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05/21/2022
Improving automatically generated code from Codex via Automated Program Repair
Large language models, e.g., Codex and AlphaCode, have shown capability ...
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01/08/2022
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception
Due to the wavelength-dependent light attenuation, refraction and scatte...
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08/30/2021
How to trust auto-generated code patches? A developer survey and empirical assessment of existing program repair tools
Automated program repair is an emerging technology that seeks to automat...
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08/05/2021
A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective
Objective: We develop a computer-aided diagnosis (CAD) system using deep...
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05/14/2021
Joint Retrieval and Generation Training for Grounded Text Generation
Recent advances in large-scale pre-training such as GPT-3 allow seemingl...
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04/16/2021
An Adversarially-Learned Turing Test for Dialog Generation Models
The design of better automated dialogue evaluation metrics offers the po...
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09/15/2020
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Existing open-domain dialog models are generally trained to minimize the...
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06/16/2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
This study is motivated by a new class of challenging control problems d...
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05/17/2020
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform
We present MixingBoard, a platform for quickly building demos with a foc...
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05/01/2020
A Controllable Model of Grounded Response Generation
Current end-to-end neural conversation models inherently lack the flexib...
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04/05/2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
When trained effectively, the Variational Autoencoder (VAE) can be both ...
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03/17/2020
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
The prevalence of accessible depth sensing and 3D laser scanning techniq...
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11/19/2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Recent advances in Graph Convolutional Neural Networks (GCNNs) have show...
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11/01/2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
We present a large, tunable neural conversational response generation mo...
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09/11/2019
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks
Graph Convolutional Neural Networks (GCNNs) extend classical CNNs to gra...
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09/03/2019
Structuring Latent Spaces for Stylized Response Generation
Generating responses in a targeted style is a useful yet challenging tas...
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07/22/2019
Feature Graph Learning for 3D Point Cloud Denoising
Identifying an appropriate underlying graph kernel that reflects pairwis...
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06/06/2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Although neural conversation models are effective in learning how to pro...
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04/28/2019
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling
The prevalence of accessible depth sensing and 3D laser scanning techniq...
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04/23/2019
Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data
Semi-supervised classification on graph-structured data has received inc...
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04/21/2019
Complete Scene Reconstruction by Merging Images and Laser Scans
Image based modeling and laser scanning are two commonly used approaches...
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04/17/2019
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition
Recently, data-driven based Automatic Speech Recognition (ASR) systems h...
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04/08/2019
Visual Localization Using Sparse Semantic 3D Map
Accurate and robust visual localization under a wide range of viewing co...
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03/13/2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Generating responses that are consistent with the dialogue context is on...
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03/04/2019
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer
The computer-aided detection (CADe) systems are developed to assist path...
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02/28/2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Although recent neural conversation models have shown great potential, t...
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01/11/2019
Dialog System Technology Challenge 7
This paper introduces the Seventh Dialog System Technology Challenges (D...
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11/29/2018
Generalized Graph Convolutional Networks for Skeleton-based Action Recognition
With the prevalence of accessible depth sensors, dynamic human body skel...
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08/03/2018
LDSO: Direct Sparse Odometry with Loop Closure
In this paper we present an extension of Direct Sparse Odometry (DSO) to...
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08/01/2018
Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate
In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block...
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04/20/2018
MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
In this paper, we present a class of extremely efficient CNN models call...
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03/23/2018
CSfM: Community-based Structure from Motion
Structure-from-Motion approaches could be broadly divided into two class...
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03/11/2018
Deep reinforcement learning for time series: playing idealized trading games
Deep Q-learning is investigated as an end-to-end solution to estimate th...
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09/26/2017
Exploring the Design Space of Immersive Urban Analytics
Recent years have witnessed the rapid development and wide adoption of i...
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05/11/2017
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect
Monocular visual odometry (VO) has seen tremendous improvements in accur...
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05/19/2016
