research
∙
08/26/2023
Graph Edit Distance Learning via Different Attention
Recently, more and more research has focused on using Graph Neural Netwo...
share
research
∙
08/04/2023
Designing a Deep Learning-Driven Resource-Efficient Diagnostic System for Metastatic Breast Cancer: Reducing Long Delays of Clinical Diagnosis and Improving Patient Survival in
Breast cancer is one of the leading causes of cancer mortality. Breast c...
research
∙
05/23/2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Latest diffusion-based methods for many image restoration tasks outperfo...
research
∙
05/22/2023
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision
Most existing task-oriented dialog (TOD) systems track dialog states in ...
research
∙
05/16/2023
Learning Higher-order Object Interactions for Keypoint-based Video Understanding
Action recognition is an important problem that requires identifying act...
research
∙
04/25/2023
Unsupervised Domain Transfer for Science: Exploring Deep Learning Methods for Translation between LArTPC Detector Simulations with Differing Response Models
Deep learning (DL) techniques have broad applications in science, especi...
research
∙
03/28/2023
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation
An unpaired image-to-image (I2I) translation technique seeks to find a m...
research
∙
03/23/2023
Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains
Images taken under low-light conditions tend to suffer from poor visibil...
research
∙
03/03/2023
Usability of Privacy Controls in Top Health Websites
With the increasing awareness and concerns around privacy, many service ...
research
∙
02/27/2023
Multi-Action Dialog Policy Learning from Logged User Feedback
Multi-action dialog policy, which generates multiple atomic dialog actio...
research
∙
10/17/2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
Building user simulators (USs) for reinforcement learning (RL) of task-o...
research
∙
10/17/2022
Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting
Analyzing both temporal and spatial patterns for an accurate forecasting...
research
∙
10/13/2022
Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture
Recently, there has been progress in supervised funetuning pretrained GP...
research
∙
09/27/2022
Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset
Recently, there have merged a class of task-oriented dialogue (TOD) data...
research
∙
09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
research
∙
08/24/2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
Most existing slot filling models tend to memorize inherent patterns of ...
research
∙
07/25/2022
Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models
Developing semi-supervised task-oriented dialog (TOD) systems by leverag...
research
∙
07/07/2022
Energy-Efficient Transmit Beamforming and Antenna Selection with Non-Linear PA Efficiency
This letter studies the energy-efficient design in a downlink multi-ante...
research
∙
07/06/2022
A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems
A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Syste...
research
∙
06/06/2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
Despite the success of text-to-text pre-trained models in various natura...
research
∙
05/28/2022
V4D: Voxel for 4D Novel View Synthesis
Neural radiance fields have made a remarkable breakthrough in the novel ...
research
∙
05/26/2022
Transferable Adversarial Attack based on Integrated Gradients
The vulnerability of deep neural networks to adversarial examples has dr...
research
∙
05/11/2022
AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
Movement and pose assessment of newborns lets experienced pediatricians ...
research
∙
04/25/2022
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Multi-action dialog policy (MADP), which generates multiple atomic dialo...
research
∙
04/13/2022
Revisiting Markovian Generative Architectures for Efficient Task-Oriented Dialog Systems
Recently, Transformer based pretrained language models (PLMs), such as G...
research
∙
03/17/2022
Coordinated Power Control for Network Integrated Sensing and Communication
This correspondence paper studies a network integrated sensing and commu...
research
∙
03/04/2022
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
Image-to-image translation has broad applications in art, design, and sc...
research
∙
12/01/2021
CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories
Accelerating finite automata processing is critical for advancing real-t...
research
∙
11/12/2021
Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
The BioCreative VII Track 3 challenge focused on the identification of m...
research
∙
11/09/2021
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
Real-time data collection and analysis in large experimental facilities ...
research
∙
09/10/2021
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
Multi-label text classification is a challenging task because it require...
research
∙
09/09/2021
Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems
Recently, two approaches, fine-tuning large pre-trained language models ...
research
∙
05/15/2021
Distributed algorithms for the least square solution of linear equations
This paper proposes distributed algorithms for solving linear equations ...
research
∙
12/15/2020
Learning to Check Contract Inconsistencies
Contract consistency is important in ensuring the legal validity of the ...
research
∙
11/25/2020
XTQA: Span-Level Explanations of the Textbook Question Answering
Textbook Question Answering (TQA) is a task that one should answer a dia...
research
∙
03/02/2020
PSF–NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
Ground based optical telescopes are seriously affected by atmospheric tu...
research
∙
11/04/2019
Long-range Event-level Prediction and Response Simulation for Urban Crime and Global Terrorism with Granger Networks
Large-scale trends in urban crime and global terrorism are well-predicte...
research
∙
09/26/2019
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison
Recognizing subtle historical patterns is central to modeling and foreca...
research
∙
07/29/2019
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features
Texture is one of the most obvious characteristics in solar images and i...
research
∙
05/24/2019
Perception Evaluation -- A new solar image quality metric based on the multi-fractal property of texture features
Next-generation ground-based solar observations require good image quali...
research
∙
09/06/2018
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds
Inspired by recent interests of developing machine learning and data min...
research
∙
04/09/2018
A Tamper-Free Semi-Universal Communication System for Deletion Channels
We investigate the problem of reliable communication between two legitim...
research
∙
11/17/2013
