Papers
Tue 4 Jan 2022
96 papers
- Attention-Based Recommendation On Graphs
- C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
- Deep Reinforcement Learning, a textbook
- Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection
- Elastic Product Quantization for Time Series
- Graph Neural Networks for Double-Strand DNA Breaks Prediction
- Learning finite difference methods for reaction-diffusion type equations with FCNN
- Knowledge Informed Machine Learning using a Weibull-based Loss Function
- Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations
- Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network
- Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
- Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification
- Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors
- DenseTact: Optical Tactile Sensor for Dense Shape Reconstruction
- A Discriminative Hierarchical PLDA-based Model for Spoken Language Recognition
- Sparse Super-Regular Networks
- Learning Control Policies for Fall prevention and safety in bipedal locomotion
- Linear Variational State-Space Filtering
- Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments
- ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling
- Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification
- Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter
- The CAMELS project: public data release
- Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation
- 3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution
- A Transformer-Based Siamese Network for Change Detection
- Self-directed Machine Learning
- Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
- Self-supervised Learning from 100 Million Medical Images
- Resilience Aspects in Distributed Wireless Electroencephalographic Sampling
- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
- Multi-Stage Episodic Control for Strategic Exploration in Text Games
- Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity
- ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
- Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
- Efficient Quantum Feature Extraction for CNN-based Learning
- On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error
- Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation
- The cluster structure function
- AutoBalance: Optimized Loss Functions for Imbalanced Data
- Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question
- Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification
- DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
- Parity-based Cumulative Fairness-aware Boosting
- Evolutionary Multitasking AUC Optimization
- Predicting Influenza A Viral Host Using PSSM and Word Embeddings
- Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy
- Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms
- Data Augmentation for Depression Detection Using Skeleton-Based Gait Information
- Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
- Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study
- Short Range Correlation Transformer for Occluded Person Re-Identification
- A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks
- Learning Quality-aware Representation for Multi-person Pose Regression
- Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing
- Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
- Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels
- Towards Unsupervised Open World Semantic Segmentation
- FROTE: Feedback Rule-Driven Oversampling for Editing Models
- Trusting Machine Learning Results from Medical Procedures in the Operating Room
- Open Access Dataset for Electromyography based Multi-code Biometric Authentication
- DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
- Sound and Visual Representation Learning with Multiple Pretraining Tasks
- McXai: Local model-agnostic explanation as two games
- Supervised Homogeneity Fusion: a Combinatorial Approach
- Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization
- Learning Operators with Coupled Attention
- A Robust Visual Sampling Model Inspired by Receptive Field
- Weakly-supervised continual learning for class-incremental segmentation
- A integrating critic-waspas group decision making method under interval-valued q-rung orthogonal fuzzy enviroment
- CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model
- Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
- Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution
- Learning to Generate Novel Classes for Deep Metric Learning
- Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection
- Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
- Multi-Representation Adaptation Network for Cross-domain Image Classification
- Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification
- DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification
- MDFEND: Multi-domain Fake News Detection
- Variational Stacked Local Attention Networks for Diverse Video Captioning
- PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture
- Underwater Object Classification and Detection: first results and open challenges
- Survey on the Convergence of Machine Learning and Blockchain
- StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams
- Submix: Practical Private Prediction for Large-Scale Language Models
- Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety
- AI visualization in Nanoscale Microscopy
- Semantics-Preserved Distortion for Personal Privacy Protection in Information Management
- Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media
- Neural Piecewise-Constant Delay Differential Equations
- Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
- HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network
- An unfeasability view of neural network learning
- External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
- Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach