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09/21/2023
Optimizing V2V Unicast Communication Transmission with Reinforcement Learning and Vehicle Clustering
Efficient routing algorithms based on vehicular ad hoc networks (VANETs)...
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09/05/2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
The segmentation of kidney layer structures, including cortex, outer str...
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09/05/2023
An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models
Large language models (LLMs) have achieved significant success in intera...
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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 ...
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08/28/2023
Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition
In recent years, speech-based self-supervised learning (SSL) has made si...
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08/27/2023
Label Denoising through Cross-Model Agreement
Learning from corrupted labels is very common in real-world machine-lear...
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08/24/2023
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Risk-sensitive reinforcement learning (RL) has garnered significant atte...
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08/22/2023
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models
Large Language Models (LLMs) have revolutionized Natural Language Proces...
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08/22/2023
Knowledge Graph Prompting for Multi-Document Question Answering
The 'pre-train, prompt, predict' paradigm of large language models (LLMs...
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08/20/2023
LibriSQA: Advancing Free-form and Open-ended Spoken Question Answering with a Novel Dataset and Framework
While Large Language Models (LLMs) have demonstrated commendable perform...
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08/16/2023
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
Subgraph counting is the problem of counting the occurrences of a given ...
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08/10/2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Podocytes, specialized epithelial cells that envelop the glomerular capi...
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08/07/2023
Learning Concise and Descriptive Attributes for Visual Recognition
Recent advances in foundation models present new opportunities for inter...
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08/04/2023
Model Provenance via Model DNA
Understanding the life cycle of the machine learning (ML) model is an in...
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07/28/2023
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
This work aims at decreasing the end-to-end generation latency of large ...
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07/25/2023
Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation
The goal of the audio-visual segmentation (AVS) task is to segment the s...
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07/17/2023
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Skin diseases are among the most prevalent health issues, and accurate c...
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07/17/2023
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
Voxel-based methods have achieved state-of-the-art performance for 3D ob...
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07/10/2023
LINFA: a Python library for variational inference with normalizing flow and annealing
Variational inference is an increasingly popular method in statistics an...
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07/10/2023
Fairness and Diversity in Recommender Systems: A Survey
Recommender systems are effective tools for mitigating information overl...
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07/08/2023
Fairness-Aware Graph Neural Networks: A Survey
Graph Neural Networks (GNNs) have become increasingly important due to t...
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06/20/2023
Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023
This technical report presents our 1st place solution for the Waymo Open...
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06/15/2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Human mobility patterns have shown significant applications in policy-de...
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06/15/2023
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation
The excellent generalization ability of self-supervised learning (SSL) f...
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06/15/2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) are a new class of generative mode...
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06/13/2023
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning
Molecular representation learning (MRL) is a fundamental task for drug d...
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06/13/2023
Enhanced Multimodal Representation Learning with Cross-modal KD
This paper explores the tasks of leveraging auxiliary modalities which a...
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06/09/2023
Design Principles for Generalization and Scalability of AI in Communication Systems
Artificial intelligence (AI) has emerged as a powerful tool for addressi...
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06/08/2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
Fine-grained visual categorization (FGVC) is a challenging task due to s...
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06/05/2023
SelfEvolve: A Code Evolution Framework via Large Language Models
Large language models (LLMs) have already revolutionized code generation...
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06/04/2023
CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization
Data is the foundation for the development of computer vision, and the e...
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05/29/2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Recent advances in robust semi-supervised learning (SSL) typically filte...
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05/29/2023
Automatic Detection, Validation and Repair of Race Conditions in Interrupt-Driven Embedded Software
Interrupt-driven programs are widely deployed in safety-critical embedde...
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05/18/2023
Annotation-free Audio-Visual Segmentation
The objective of Audio-Visual Segmentation (AVS) is to localise the soun...
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05/11/2023
V2Meow: Meowing to the Visual Beat via Music Generation
Generating high quality music that complements the visual content of a v...
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05/04/2023
High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling
Bayesian optimization (BO) is a powerful tool for seeking the global opt...
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04/27/2023
Two kinds of numerical algorithms for ultra-slow diffusion equations
In this article, two kinds of numerical algorithms are derived for the u...
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04/22/2023
Conditional Denoising Diffusion for Sequential Recommendation
Generative models have attracted significant interest due to their abili...
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04/21/2023
An Optimization Framework For Anomaly Detection Scores Refinement With Side Information
This paper considers an anomaly detection problem in which a detection a...
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04/11/2023
ClusterFusion: Real-time Relative Positioning and Dense Reconstruction for UAV Cluster
As robotics technology advances, dense point cloud maps are increasingly...
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04/10/2023
HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion
Recently, cross-source point cloud registration from different sensors h...
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03/31/2023
Analysis of the current status of tuberculosis transmission in China based on a heterogeneity model
Tuberculosis (TB) is an infectious disease transmitted through the respi...
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03/30/2023
A BERT-based Unsupervised Grammatical Error Correction Framework
Grammatical error correction (GEC) is a challenging task of natural lang...
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03/21/2023
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
There is a recent trend in the LiDAR perception field towards unifying m...
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03/17/2023
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
Learning from a large corpus of data, pre-trained models have achieved i...
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03/11/2023
Interpretable Outlier Summarization
Outlier detection is critical in real applications to prevent financial ...
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03/04/2023
Demystifying What Code Summarization Models Learned
Study patterns that models have learned has long been a focus of pattern...
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02/24/2023
A Targeted Accuracy Diagnostic for Variational Approximations
Variational Inference (VI) is an attractive alternative to Markov Chain ...
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02/20/2023
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition
Multimodal emotion recognition is a challenging research area that aims ...
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02/11/2023