Papers
Fri 20 Jan 2023
111 papers
- Removing Structured Noise with Diffusion ModelsDiffusion models → Inverse problems and image restoration
- DiffusionCT: Latent Diffusion Model for CT Image StandardizationDiffusion models → Medical imaging and segmentation
- Regular Time-series Generation using SGMDiffusion models → Diffusion foundations and sampling
- Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback
- A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox
- Sanity checks and improvements for patch visualisation in prototype-based image classification
- Deep-Learning Quantitative Structural Characterization in Additive Manufacturing
- Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks
- Algebraic characterizations of least model and uniform equivalence of propositional Krom logic programs
- Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
- Reinforcement learning-based estimation for partial differential equations
- Contextualizing Emerging Trends in Financial News Articles
- Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks
- Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification
- Interpretable Classification of Early Stage Parkinson's Disease from EEG
- HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
- On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment
- Towards Robust Video Instance Segmentation with Temporal-Aware Transformer
- Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse
- Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
- ApproxED: Approximate exploitability descent via learned best responses
- AI enabled RPM for Mental Health Facility
- A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
- An Automated Vulnerability Detection Framework for Smart Contracts
- Document Summarization with Text Segmentation
- Differential Privacy in Cooperative Multiagent Planning
- Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions
- Impact of PCA-based preprocessing and different CNN structures on deformable registration of sonograms
- In-situ Water quality monitoring in Oil and Gas operations
- DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
- Evaluating the Possibility of Integrating Augmented Reality and Internet of Things Technologies to Help Patients with Alzheimer's Disease
- Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement
- Active Learning of Piecewise Gaussian Process Surrogates
- Causal Inference under Data Restrictions
- Visual Semantic Relatedness Dataset for Image Captioning
- An Asynchronous Intensity Representation for Framed and Event Video Sources
- Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation
- GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation
- Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
- DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
- Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education
- Optimized learned entropy coding parameters for practical neural-based image and video compression
- Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
- Domain-agnostic and Multi-level Evaluation of Generative Models
- CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution
- Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
- FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
- Can Peanuts Fall in Love with Distributional Semantics?
- Novel-View Acoustic Synthesis
- Neural Architecture Search: Insights from 1000 Papers
- The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts
- Baechi: Fast Device Placement of Machine Learning Graphs
- Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets
- Counterexample Guided Abstraction Refinement with Non-Refined Abstractions for Multi-Agent Path Finding
- Holistically Explainable Vision Transformers
- AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
- Automated extraction of capacitive coupling for quantum dot systems
- Off-Policy Evaluation with Out-of-Sample Guarantees
- STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
- Image Memorability Prediction with Vision Transformers
- Generative Slate Recommendation with Reinforcement Learning
- Solving PDEs with Unmeasurable Source Terms Using Coupled Physics-Informed Neural Network with Recurrent Prediction for Soft Sensors
- On the Foundations of Cycles in Bayesian Networks
- Data Augmentation for Modeling Human Personality: The Dexter Machine
- A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas
- MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
- Improving Sketch Colorization using Adversarial Segmentation Consistency
- Ontology Pre-training for Poison Prediction
- Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
- Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)
- Multi-Armed Bandits and Quantum Channel Oracles
- Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
- Self-Organization Towards 1/f Noise in Deep Neural Networks
- Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
- Predicting Surface Texture in Steel Manufacturing at Speed
- Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
- Clustering Human Mobility with Multiple Spaces
- A Data-Transparent Probabilistic Model of Temporal Propositional Abstraction
- Language Agnostic Data-Driven Inverse Text Normalization
- Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning
- Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
- Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
- causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs
- Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance
- Spatial Steerability of GANs via Self-Supervision from Discriminator
- Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition
- Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
- Source-free Subject Adaptation for EEG-based Visual Recognition
- DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
- Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning
- Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem
- Optimization of body configuration and joint-driven attitude stabilization for transformable spacecrafts under solar radiation pressure
- Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction
- Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
- A vision-based autonomous UAV inspection framework for unknown tunnel construction sites with dynamic obstacles
- Machine Translation for Accessible Multi-Language Text Analysis
- FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation
- Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation
- Fair Credit Scorer through Bayesian Approach
- Identity masking effectiveness and gesture recognition: Effects of eye enhancement in seeing through the mask
All 111
- Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading
- One-shot Generative Distribution Matching for Augmented RF-based UAV Identification
- Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network
- Brain Model State Space Reconstruction Using an LSTM Neural Network
- Open-Set Likelihood Maximization for Few-Shot Learning
- Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies
- Asynchronously Trained Distributed Topographic Maps
- Within-group fairness: A guidance for more sound between-group fairness
- Projective Integral Updates for High-Dimensional Variational Inference
- On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
- Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks