Papers
Sun 23 Jan 2022
80 papers
- Axiomatizing consciousness, with applications
- Self-adjusting optimization algorithm for solving the setunion knapsack problem
- Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning
- Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19
- OntoProtein: Protein Pretraining With Gene Ontology Embedding
- Neural Architecture Search for Spiking Neural Networks
- Fast MRI Reconstruction: How Powerful Transformers Are?
- Towards Private Learning on Decentralized Graphs with Local Differential Privacy
- Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs
- MISeval: a Metric Library for Medical Image Segmentation Evaluation
- An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics
- Partition-Based Active Learning for Graph Neural Networks
- AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks
- A Survey on Patients Privacy Protection with Stganography and Visual Encryption
- A Comprehensive Survey on Federated Learning: Concept and Applications
- vCLIMB: A Novel Video Class Incremental Learning Benchmark
- An Application of Pseudo-Log-Likelihoods to Natural Language Scoring
- ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
- Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image
- Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
- Efficient and Robust Classification for Sparse Attacks
- Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch
- Optimal transport for causal discovery
- POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection
- Imposing Connectome-Derived Topology on an Echo State Network
- Transformer-based SAR Image Despeckling
- Survey and Systematization of 3D Object Detection Models and Methods
- Distributed Bandits with Heterogeneous Agents
- Out of Distribution Detection on ImageNet-O
- Machine Learning Symmetry
- How Expressive are Transformers in Spectral Domain for Graphs?
- ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols
- Supervised Visual Attention for Simultaneous Multimodal Machine Translation
- Robust Wavelet-based Assessment of Scaling with Applications
- Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data
- Perceptual cGAN for MRI Super-resolution
- Basket-based Softmax
- An Analysis and Comparison of ACT-R and Soar
- 1000x Faster Camera and Machine Vision with Ordinary Devices
- A Survey for Deep RGBT Tracking
- How to scale hyperparameters for quickshift image segmentation
- WIDAR -- Weighted Input Document Augmented ROUGE
- SpiroMask: Measuring Lung Function Using Consumer-Grade Masks
- Wavelet-Attention CNN for Image Classification
- Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
- Exploring Differential Geometry in Neural Implicits
- Face recognition via compact second order image gradient orientations
- Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
- Increasing the Cost of Model Extraction with Calibrated Proof of Work
- Learning-Driven Lossy Image Compression; A Comprehensive Survey
- A Large and Diverse Arabic Corpus for Language Modeling
- A Generalized Weighted Optimization Method for Computational Learning and Inversion
- Online Soft Conformance Checking: Any Perspective Can Indicate Deviations
- FN-Net:Remove the Outliers by Filtering the Noise
- Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
- Weight Expansion: A New Perspective on Dropout and Generalization
- Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety
- Visual Object Tracking on Multi-modal RGB-D Videos: A Review
- A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
- Deeply Explain CNN via Hierarchical Decomposition
- One-Shot Learning on Attributed Sequences
- Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments
- Deep Learning on Attributed Sequences
- Learning to Predict Gradients for Semi-Supervised Continual Learning
- Distributed Learning of Generalized Linear Causal Networks
- Learning to Minimize the Remainder in Supervised Learning
- Revisiting Global Pooling through the Lens of Optimal Transport
- Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
- pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
- Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets
- An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
- Rich Action-semantic Consistent Knowledge for Early Action Prediction
- Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
- Mixed X-Ray Image Separation for Artworks with Concealed Designs
- A Pre-trained Audio-Visual Transformer for Emotion Recognition
- Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features
- LSNet: Extremely Light-Weight Siamese Network For Change Detection in Remote Sensing Image
- An Integrated Approach for Video Captioning and Applications
- Generative Adversarial Network Applications in Creating a Meta-Universe
- An External Stability Audit Framework to Test the Validity of Personality Prediction in AI Hiring