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08/24/2023
Masked Autoencoders are Efficient Class Incremental Learners
Class Incremental Learning (CIL) aims to sequentially learn new classes ...
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07/21/2023
Prompting Large Language Models with Speech Recognition Abilities
Large language models have proven themselves highly flexible, able to so...
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07/20/2023
PAPR: Proximity Attention Point Rendering
Learning accurate and parsimonious point cloud representations of scene ...
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07/03/2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Breaking safety constraints in control systems can lead to potential ris...
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06/29/2023
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis is a long-standing research interest in ...
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06/23/2023
A Survey on Multimodal Large Language Models
Multimodal Large Language Model (MLLM) recently has been a new rising re...
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06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
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06/22/2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
Learning from visual observation (LfVO), aiming at recovering policies f...
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06/01/2023
EduChain: A Blockchain-based Education Data Management System
The predominant centralized paradigm in educational data management curr...
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05/30/2023
Multi-modal Queried Object Detection in the Wild
We introduce MQ-Det, an efficient architecture and pre-training strategy...
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05/24/2023
READ: Recurrent Adaptation of Large Transformers
Fine-tuning large-scale Transformers has led to the explosion of many AI...
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05/17/2023
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
In the existing unsupervised domain adaptation (UDA) methods for remote ...
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05/10/2023
Compressing neural network by tensor network with exponentially fewer variational parameters
Neural network (NN) designed for challenging machine learning tasks is i...
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05/06/2023
Reactive Perturbation Defocusing for Textual Adversarial Defense
Recent studies have shown that large pre-trained language models are vul...
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04/23/2023
SketchXAI: A First Look at Explainability for Human Sketches
This paper, for the very first time, introduces human sketches to the la...
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04/12/2023
Diffusion models with location-scale noise
Diffusion Models (DMs) are powerful generative models that add Gaussian ...
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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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04/06/2023
RFAConv: Innovating Spatital Attention and Standard Convolutional Operation
Spatial attention has been demonstrated to enable convolutional neural n...
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03/28/2023
Multidimensional Resource Fragmentation-Aware Virtual Network Embedding in MEC Systems Interconnected by Metro Optical Networks
The increasing demand for diverse emerging applications has resulted in ...
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03/23/2023
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
Neural radiance fields (NeRFs) have enabled high fidelity 3D reconstruct...
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03/19/2023
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft
One of the essential missions in the AI research community is to build a...
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02/14/2023
Practical Cross-System Shilling Attacks with Limited Access to Data
In shilling attacks, an adversarial party injects a few fake user profil...
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01/28/2023
Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis
Some quality indicators have been proposed for benchmarking preference-b...
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01/21/2023
A high order unfitted finite element method for time-Harmonic Maxwell interface problems
In this paper, we propose a high order unfitted finite element method fo...
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12/26/2022
Fewer is More: Efficient Object Detection in Large Aerial Images
Current mainstream object detection methods for large aerial images usua...
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12/16/2022
Robust Saliency Guidance for Data-free Class Incremental Learning
Data-Free Class Incremental Learning (DFCIL) aims to sequentially learn ...
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11/25/2022
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
A persistent challenge in conditional image synthesis has been to genera...
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11/05/2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments
Many real-world problems are usually computationally costly and the obje...
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10/31/2022
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition
Recently, there has been an increasing interest in two-pass streaming en...
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10/30/2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Generative models for graph data are an important research topic in mach...
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10/06/2022
Augmentor or Filter? Reconsider the Role of Pre-trained Language Model in Text Classification Augmentation
Text augmentation is one of the most effective techniques to solve the c...
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10/01/2022
Long-Tailed Class Incremental Learning
In class incremental learning (CIL) a model must learn new classes in a ...
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09/09/2022
Defend Data Poisoning Attacks on Voice Authentication
With the advances in deep learning, speaker verification has achieved ve...
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09/01/2022
Strong Converse Exponent for Entanglement-Assisted Communication
Entanglement-assisted classical capacity is regarded as the natural quan...
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09/01/2022
Operational Interpretation of the Sandwiched Rényi Divergences of Order 1/2 to 1 as Strong Converse Exponents
We provide the sandwiched Rényi divergence of order α∈(1/2,1), as well a...
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08/27/2022
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
This paper focuses on the limitations of current over-parameterized shad...
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08/02/2022
PyABSA: Open Framework for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) has become a prevalent task in re...
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06/22/2022
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Open-vocabulary object detection (OVD) aims to scale up vocabulary size ...
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06/14/2022
Efficient Decoder-free Object Detection with Transformers
Vision transformers (ViTs) are changing the landscape of object detectio...
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06/14/2022
Learning Best Combination for Efficient N:M Sparsity
By forcing at most N out of M consecutive weights to be non-zero, the re...
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06/12/2022
Evolutionary Multi-Task Injection Testing on Web Application Firewalls
Web application firewall (WAF) plays an integral role nowadays to protec...
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06/02/2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
U-Nets have achieved tremendous success in medical image segmentation. N...
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05/28/2022
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?
Constraint violation has been a building block to design evolutionary mu...
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05/28/2022
Data-Driven Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts
Data-driven evolutionary multi-objective optimization (EMO) has been rec...
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05/23/2022
Super Vision Transformer
We attempt to reduce the computational costs in vision transformers (ViT...
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04/29/2022
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
Large-scale vision-language pre-training has achieved promising results ...
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04/06/2022
Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank
In practical multi-criterion decision-making, it is cumbersome if a deci...
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04/06/2022
C3KG: A Chinese Commonsense Conversation Knowledge Graph
Existing commonsense knowledge bases often organize tuples in an isolate...
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03/29/2022