research
∙
09/15/2023
Supervised Stochastic Neighbor Embedding Using Contrastive Learning
Stochastic neighbor embedding (SNE) methods t-SNE, UMAP are two most pop...
share
research
∙
09/12/2023
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
As social media becomes increasingly popular, more and more public healt...
research
∙
09/08/2023
UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media
As social media becomes increasingly popular, more and more activities r...
research
∙
09/03/2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP and ...
research
∙
08/31/2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Graph Neural Networks (GNNs) have gained significant attention owing to ...
research
∙
08/22/2023
Unsupervised Prototype Adapter for Vision-Language Models
Recently, large-scale pre-trained vision-language models (e.g. CLIP and ...
research
∙
08/22/2023
Four years of multi-modal odometry and mapping on the rail vehicles
Precise, seamless, and efficient train localization as well as long-term...
research
∙
08/21/2023
FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
While text-3D editing has made significant strides in leveraging score d...
research
∙
08/19/2023
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
Regression-based methods for 3D human pose estimation directly predict t...
research
∙
08/13/2023
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
Machine learning models often learn to make predictions that rely on sen...
research
∙
08/11/2023
FoodSAM: Any Food Segmentation
In this paper, we explore the zero-shot capability of the Segment Anythi...
research
∙
08/08/2023
Facial Prior Based First Order Motion Model for Micro-expression Generation
Spotting facial micro-expression from videos finds various potential app...
research
∙
08/08/2023
Unsupervised Camouflaged Object Segmentation as Domain Adaptation
Deep learning for unsupervised image segmentation remains challenging du...
research
∙
08/01/2023
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems
Dialogue act annotations are important to improve response generation qu...
research
∙
08/01/2023
Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification
Palmprint as biometrics has gained increasing attention recently due to ...
research
∙
07/28/2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP, est...
research
∙
07/28/2023
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
The whole slide image (WSI) classification is often formulated as a mult...
research
∙
07/23/2023
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising
While various deep learning methods have been proposed for low-dose comp...
research
∙
07/22/2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Reconstructing Computed tomography (CT) images from sparse measurement i...
research
∙
07/18/2023
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
Recently, uncertainty-aware methods have attracted increasing attention ...
research
∙
07/16/2023
A MEEVC discretization for two-dimensional incompressible Navier-Stokes equations with general boundary conditions
In this work, we introduce a mass, energy, enstrophy and vorticity conse...
research
∙
07/12/2023
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
Sparse-view computed tomography (CT) is a promising solution for expedit...
research
∙
06/28/2023
Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting
Food effect summarization from New Drug Application (NDA) is an essentia...
research
∙
06/27/2023
The Impact of Heterogeneous Shared Leadership in Scientific Teams
Leadership is evolving dynamically from an individual endeavor to shared...
research
∙
06/23/2023
Analysis of a mixed finite element method for stochastic Cahn-Hilliard equation with multiplicative noise
This paper proposes and analyzes a novel fully discrete finite element s...
research
∙
06/07/2023
ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems
Natural Language to SQL systems (NL-to-SQL) have recently shown a signif...
research
∙
05/31/2023
A Unified Conditional Framework for Diffusion-based Image Restoration
Diffusion Probabilistic Models (DPMs) have recently shown remarkable per...
research
∙
05/29/2023
Controllable Text-to-Image Generation with GPT-4
Current text-to-image generation models often struggle to follow textual...
research
∙
05/24/2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
In executable task-oriented semantic parsing, the system aims to transla...
research
∙
05/24/2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Intent classification (IC) plays an important role in task-oriented dial...
research
∙
05/15/2023
Log-concavity and log-convexity of series containing multiple Pochhammer symbols
In this paper we study power series with coefficients equal to a product...
research
∙
05/04/2023
NatCS: Eliciting Natural Customer Support Dialogues
Despite growing interest in applications based on natural customer suppo...
research
∙
04/26/2023
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping
With the development of Vision-Language Pre-training Models (VLPMs) repr...
research
∙
04/25/2023
Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11
With increasing demand for and adoption of virtual assistants, recent wo...
research
∙
04/24/2023
Synthetic Datasets for Autonomous Driving: A Survey
Autonomous driving techniques have been flourishing in recent years whil...
research
∙
04/09/2023
NeRF applied to satellite imagery for surface reconstruction
We present Sat-NeRF, a modified implementation of the recently introduce...
research
∙
04/04/2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Low-dose computed tomography (CT) images suffer from noise and artifacts...
research
∙
03/22/2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Artificial intelligence (AI) researchers have been developing and refini...
research
∙
03/14/2023
Frequency-Modulated Point Cloud Rendering with Easy Editing
We develop an effective point cloud rendering pipeline for novel view sy...
research
∙
03/09/2023
Discontinuous Galerkin Methods for an Elliptic Optimal Control Problem with a General State Equation and Pointwise State Constraints
We investigate discontinuous Galerkin methods for an elliptic optimal co...
research
∙
03/06/2023
KBNet: Kernel Basis Network for Image Restoration
How to aggregate spatial information plays an essential role in learning...
research
∙
02/27/2023
(Re)^2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Autonomous driving and its widespread adoption have long held tremendous...
research
∙
02/26/2023
Independence-Encouraging Subsampling for Nonparametric Additive Models
The additive model is a popular nonparametric regression method due to i...
research
∙
02/16/2023
Conversation Style Transfer using Few-Shot Learning
Conventional text style transfer approaches for natural language focus o...
research
∙
02/13/2023
Finite element hybridization of port-Hamiltonian systems
In this contribution, we extend the hybridization framework for the Hodg...
research
∙
02/10/2023
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales
The insurance industry is shifting their sales mode from offline to onli...
research
∙
02/04/2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
When upgrading neural models to a newer version, new errors that were no...
research
∙
01/31/2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond
Image denoising is a typical ill-posed problem due to complex degradatio...
research
∙
01/25/2023
Backward Compatibility During Data Updates by Weight Interpolation
Backward compatibility of model predictions is a desired property when u...
research
∙
12/20/2022