research
∙
09/07/2023
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
Learning-based techniques, especially advanced Large Language Models (LL...
share
research
∙
09/05/2023
Diffusion-based 3D Object Detection with Random Boxes
3D object detection is an essential task for achieving autonomous drivin...
research
∙
08/29/2023
ABS-SGD: A Delayed Synchronous Stochastic Gradient Descent Algorithm with Adaptive Batch Size for Heterogeneous GPU Clusters
As the size of models and datasets grows, it has become increasingly com...
research
∙
08/24/2023
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
Proper naming of methods can make program code easier to understand, and...
research
∙
08/21/2023
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
Large Language Models (LLMs) possess impressive capabilities to generate...
research
∙
08/17/2023
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation
Recommender systems have been gaining increasing research attention over...
research
∙
08/15/2023
Better Zero-Shot Reasoning with Role-Play Prompting
Modern large language models (LLMs), such as ChatGPT, exhibit a remarkab...
research
∙
08/15/2023
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Multi-object tracking (MOT) is a fundamental problem in computer vision ...
research
∙
06/21/2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...
research
∙
06/14/2023
GBSD: Generative Bokeh with Stage Diffusion
The bokeh effect is an artistic technique that blurs out-of-focus areas ...
research
∙
05/26/2023
InstaGrasp: An Entirely 3D Printed Adaptive Gripper with TPU Soft Elements and Minimal Assembly Time
Fabricating existing and popular open-source adaptive robotic grippers c...
research
∙
05/17/2023
Sequential Best-Arm Identification with Application to Brain-Computer Interface
A brain-computer interface (BCI) is a technology that enables direct com...
research
∙
05/06/2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
Pre-trained language models (PLMs) have become a prevalent technique in ...
research
∙
04/22/2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Denoising diffusion probabilistic models (DDPMs) are a class of powerful...
research
∙
03/21/2023
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
Sequential recommendation systems utilize the sequential interactions of...
research
∙
03/14/2023
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Planar object tracking is a critical computer vision problem and has dra...
research
∙
03/13/2023
Generation-based Code Review Automation: How Far Are We?
Code review is an effective software quality assurance activity; however...
research
∙
03/12/2023
Raising The Limit Of Image Rescaling Using Auxiliary Encoding
Normalizing flow models using invertible neural networks (INN) have been...
research
∙
03/09/2023
Smooth and Stepwise Self-Distillation for Object Detection
Distilling the structured information captured in feature maps has contr...
research
∙
03/01/2023
PatchZero: Zero-Shot Automatic Patch Correctness Assessment
Automated Program Repair (APR) techniques have shown more and more promi...
research
∙
02/22/2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
Recurrent neural network (RNN) and self-attention mechanism (SAM) are th...
research
∙
02/21/2023
EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images
Structure-from-Motion is a technology used to obtain scene structure thr...
research
∙
02/09/2023
A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions
Recommendation systems have become popular and effective tools to help u...
research
∙
02/02/2023
MMRec: Simplifying Multimodal Recommendation
This paper presents an open-source toolbox, MMRec for multimodal recomme...
research
∙
01/28/2023
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation
User interaction data in recommender systems is a form of dyadic relatio...
research
∙
12/12/2022
A Pre-Trained BERT Model for Android Applications
The automation of an increasingly large number of software engineering t...
research
∙
12/08/2022
E-TRoll: Tactile Sensing and Classification via A Simple Robotic Gripper for Extended Rolling Manipulations
Robotic tactile sensing provides a method of recognizing objects and the...
research
∙
11/14/2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Transferring large amount of high resolution images over limited bandwid...
research
∙
11/14/2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Diffusion-based text-to-image generation models like GLIDE and DALLE-2 h...
research
∙
11/13/2022
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
Multimodal recommender systems utilizing multimodal features (e.g. image...
research
∙
11/05/2022
Inductive Graph Transformer for Delivery Time Estimation
Providing accurate estimated time of package delivery on users' purchasi...
research
∙
10/22/2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
We propose a simple and novel method for generating 3D human motion from...
research
∙
10/19/2022
Machine Learning for a Sustainable Energy Future
Transitioning from fossil fuels to renewable energy sources is a critica...
research
∙
07/24/2022
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
Normalizing flow models have been used successfully for generative image...
research
∙
07/22/2022
Layer-refined Graph Convolutional Networks for Recommendation
Recommendation models utilizing Graph Convolutional Networks (GCNs) have...
research
∙
07/13/2022
Automatic Parameter Adaptation for Quadrotor Trajectory Planning
Online trajectory planners enable quadrotors to safely and smoothly navi...
research
∙
07/13/2022
Bootstrap Latent Representations for Multi-modal Recommendation
This paper studies the multi-modal recommendation problem, where the ite...
research
∙
07/07/2022
Nonparametric Estimation of the Potential Impact Fraction and Population Attributable Fraction with Individual-Level and Aggregated Data
The estimation of the potential impact fraction (including the populatio...
research
∙
06/07/2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Input distribution shift is one of the vital problems in unsupervised do...
research
∙
05/03/2022
A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues
Context: DevOps and microservices are acknowledged to be important new p...
research
∙
03/29/2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to recognize and loc...
research
∙
03/02/2022
Enhanced Decentralized Autonomous Aerial Swarm with Group Planning
Autonomous aerial swarm remains a grand challenge in robotics. Existing ...
research
∙
10/30/2021
The Missing Covariate Indicator Method is Nearly Valid Almost Always
Background: Although the missing covariate indicator method (MCIM) has b...
research
∙
10/15/2021
Carbon Neutrality in Data Center
Data centers are carbon-intensive enterprises due to their massive energ...
research
∙
10/14/2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Plug-and-play functionality allows deep learning models to adapt well to...
research
∙
09/28/2021
Template-free Prompt Tuning for Few-shot NER
Prompt-based methods have been successfully applied in sentence-level fe...
research
∙
07/07/2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Collaborative filtering (CF) is widely used to learn an informative late...
research
∙
06/28/2021
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
With rapidly evolving internet technologies and emerging tools, sports r...
research
∙
06/23/2021
Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms
Multicopter swarms with decentralized structure possess the nature of fl...
research
∙
04/03/2021
