Papers
Sat 31 Dec 2022
62 papers
- Rethinking with Retrieval: Faithful Large Language Model InferenceLLM reasoning → Reasoning benchmarks and evaluation
- Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Site-specific weed management in corn using UAS imagery analysis and computer vision techniques
- Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks
- Identification of lung nodules CT scan using YOLOv5 based on convolution neural network
- Unpacking the "Black Box" of AI in Education
- Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE
- Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
- Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence
- Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
- An end-to-end multi-scale network for action prediction in videos
- Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
- Assessment of creditworthiness models privacy-preserving training with synthetic data
- MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn
- 4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions
- A Survey on Protein Representation Learning: Retrospect and Prospect
- Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek
- Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
- Lightmorphic Signatures Analysis Toolkit
- RECOMED: A Comprehensive Pharmaceutical Recommendation System
- NetEffect: Discovery and Exploitation of Generalized Network Effects
- Source-Free Unsupervised Domain Adaptation: A Survey
- Application Of ADNN For Background Subtraction In Smart Surveillance System
- Confidence Sets under Generalized Self-Concordance
- Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion
- A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning
- DensePose From WiFi
- Approaching Peak Ground Truth
- Contextual Bandits and Optimistically Universal Learning
- DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning
- A Survey on In-context Learning
- Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling
- An Efficient Hierarchical Kriging Modeling Method for High-dimension Multi-fidelity Problems
- Exploring Singularities in point clouds with the graph Laplacian: An explicit approach
- Logic Mill -- A Knowledge Navigation System
- Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints
- Mapping Knowledge Representations to Concepts: A Review and New Perspectives
- New Challenges in Reinforcement Learning: A Survey of Security and Privacy
- Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?
- Smooth Mathematical Function from Compact Neural Networks
- Generative Graph Neural Networks for Link Prediction
- Ponder: Point Cloud Pre-training via Neural Rendering
- Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
- Rethinking Rotation Invariance with Point Cloud Registration
- Peer Learning for Unbiased Scene Graph Generation
- Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
- Computational Charisma -- A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence
- Self-Activating Neural Ensembles for Continual Reinforcement Learning
- On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization
- TeViS:Translating Text Synopses to Video Storyboards
- Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment
- Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
- Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
- Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
- Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Adapting Node-Place Model to Predict and Monitor COVID-19 Footprints and Transmission Risks
- Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
- Quantum Machine Learning Applied to the Classification of Diabetes
- Physics-informed Neural Networks approach to solve the Blasius function
- Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves
- Autonomous Driving Simulator based on Neurorobotics Platform