Papers
Sat 8 Jan 2022
58 papers
- A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Two-Pass End-to-End ASR Model CompressionKnowledge distillation → Speech and audio distillation
- Beyond modeling: NLP Pipeline for efficient environmental policy analysis
- A Machine Learning Based Algorithm for Joint Improvement of Power Control, link adaptation, and Capacity in Beyond 5G Communication systems
- Forecasting Loss of Signal in Optical Networks with Machine Learning
- Knowledge Tracing: A Survey
- Impact of Stop Sets on Stopping Active Learning for Text Classification
- Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss
- VGAER: Graph Neural Network Reconstruction based Community Detection
- Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists
- Lazy Lagrangians with Predictions for Online Learning
- Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
- Attention-based Random Forest and Contamination Model
- Defocus Deblur Microscopy via Head-to-Tail Cross-scale Fusion
- Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture
- LoMar: A Local Defense Against Poisoning Attack on Federated Learning
- Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy
- PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++
- Decoupling Makes Weakly Supervised Local Feature Better
- Effect of Toxic Review Content on Overall Product Sentiment
- Fake Hilsa Fish Detection Using Machine Vision
- Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
- Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition
- Learning Sample Importance for Cross-Scenario Video Temporal Grounding
- Coherence-Based Distributed Document Representation Learning for Scientific Documents
- Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications
- Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification
- Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network
- Weighted Encoding Optimization for Dynamic Single-pixel Imaging and Sensing
- SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception
- CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
- Optimal 1-Wasserstein Distance for WGANs
- AnomMAN: Detect Anomaly on Multi-view Attributed Networks
- Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network
- Clustering Text Using Attention
- Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization
- A fall alert system with prior-fall activity identification
- Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
- RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues
- A Unified Review of Deep Learning for Automated Medical Coding
- Defining maximum acceptable latency of AI-enhanced CAI tools
- Scaling Knowledge Graph Embedding Models
- Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
- A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
- A Baseline Statistical Method For Robust User-Assisted Multiple Segmentation
- ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems
- A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers
- QuadTree Attention for Vision Transformers
- Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer
- Modeling Human-AI Team Decision Making
- DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks
- Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis
- Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand
- Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading
- Provable Clustering of a Union of Linear Manifolds Using Optimal Directions
- Real-time Rail Recognition Based on 3D Point Clouds
- Low-Rank Constraints for Fast Inference in Structured Models
- Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment