Papers
Sun 20 Jun 2021
79 papers
- An Overview of Machine Learning-aided Optical Performance Monitoring Techniques
- Artificial Neural Network for Cybersecurity: A Comprehensive Review
- Polyconvex anisotropic hyperelasticity with neural networks
- More Causes Less Effect: Destructive Interference in Decision Making
- On the relationship between predictive coding and backpropagation
- Low-Latency Federated Learning over Wireless Channels with Differential Privacy
- Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
- Deep learning for improved global precipitation in numerical weather prediction systems
- Proposal Relation Network for Temporal Action Detection
- Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling
- DeepMesh: Differentiable Iso-Surface Extraction
- SISA: Securing Images by Selective Alteration
- Improving Ultrasound Tongue Image Reconstruction from Lip Images Using Self-supervised Learning and Attention Mechanism
- Privacy Amplification via Iteration for Shuffled and Online PNSGD
- Manifold Matching via Deep Metric Learning for Generative Modeling
- Context-Aware Legal Citation Recommendation using Deep Learning
- Neural Spectral Marked Point Processes
- Multirate Training of Neural Networks
- Representations and Strategies for Transferable Machine Learning Models in Chemical Discovery
- Learning to Track Object Position through Occlusion
- Generalization in the Face of Adaptivity: A Bayesian Perspective
- On Stein Variational Neural Network Ensembles
- Robust Regression via Model Based Methods
- Opportunities and challenges in partitioning the graph measure space of real-world networks
- Calliar: An Online Handwritten Dataset for Arabic Calligraphy
- On the Cryptographic Hardness of Learning Single Periodic Neurons
- Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
- Mobile Sensing for Multipurpose Applications in Transportation
- Neighborhood Contrastive Learning for Novel Class Discovery
- Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
- Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
- Optimal Online Learning using Potential Functions
- Machine learning in the social and health sciences
- CPM-2: Large-scale Cost-effective Pre-trained Language Models
- Quantum Machine Learning: Fad or Future?
- Transfer Bayesian Meta-learning via Weighted Free Energy Minimization
- Memory Augmented Optimizers for Deep Learning
- Automated Deepfake Detection
- Better Training using Weight-Constrained Stochastic Dynamics
- On predicting research grants productivity
- Plant Disease Detection Using Image Processing and Machine Learning
- Generative Model Adversarial Training for Deep Compressed Sensing
- Fast PDN Impedance Prediction Using Deep Learning
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
- Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
- MILP, pseudo-boolean, and OMT solvers for optimal fault-tolerant placements of relay nodes in mission critical wireless networks
- Optimal personalised treatment computation through in silico clinical trials on patient digital twins
- Solution for Large-scale Long-tailed Recognition with Noisy Labels
- Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
- A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems
- Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling
- A compressive multi-kernel method for privacy-preserving machine learning
- Outlier Detection and Spatial Analysis Algorithms
- FedXGBoost: Privacy-Preserving XGBoost for Federated Learning
- Exploring Semantic Relationships for Unpaired Image Captioning
- TD-GEN: Graph Generation With Tree Decomposition
- Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
- TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC
- Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning
- CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
- Task Attended Meta-Learning for Few-Shot Learning
- Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
- More than Encoder: Introducing Transformer Decoder to Upsample
- FloorPP-Net: Reconstructing Floor Plans using Point Pillars for Scan-to-BIM
- Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding
- Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
- Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?
- Large-Scale Network Embedding in Apache Spark
- A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
- Cogradient Descent for Dependable Learning
- Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data
- Multi-Pair Text Style Transfer on Unbalanced Data
- Attack to Fool and Explain Deep Networks
- Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
- ReGO: Reference-Guided Outpainting for Scenery Image
- Improving Label Quality by Jointly Modeling Items and Annotators
- TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
- Heterogeneous Multi-task Learning with Expert Diversity
- Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation