Papers
Mon 6 Sep 2021
155 papers
- External knowledge transfer deployment inside a simple double agent Viterbi algorithm
- Knowledge Graph Question Answering via SPARQL Silhouette Generation
- Monitoring Indoor Activity of Daily Living Using Thermal Imaging: A Case Study
- Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy
- Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
- FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom
- Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks
- Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds
- Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure
- Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor
- FastAudio: A Learnable Audio Front-End for Spoof Speech Detection
- Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model
- An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models
- Robustness and Generalization via Generative Adversarial Training
- Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds
- STRIVE: Scene Text Replacement In Videos
- Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection
- End-to-end Neural Information Status Classification
- Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
- Pano3D: A Holistic Benchmark and a Solid Baseline for 360o Depth Estimation
- Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP
- WhyAct: Identifying Action Reasons in Lifestyle Vlogs
- Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications
- Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica
- Improving Dietary Assessment Via Integrated Hierarchy Food Classification
- Detecting Inspiring Content on Social Media
- Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots
- OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoringin Costa Rica
- Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
- Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling
- Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
- Individual Mobility Prediction via Attentive Marked Temporal Point Processes
- Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
- Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks
- Text-to-Table: A New Way of Information Extraction
- gen2Out: Detecting and Ranking Generalized Anomalies
- Large-Scale System Identification Using a Randomized SVD
- Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance
- Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
- Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes
- SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms"
- Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
- Backpropagation and fuzzy algorithm Modelling to Resolve Blood Supply Chain Issues in the Covid-19 Pandemic
- Resolvent convergence under heterogeneous second-moment profiles and quadratic-form control
- Dual camera snapshot hyperspectral imaging system via physics informed learning
- Guiding Global Placement With Reinforcement Learning
- ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
- Functional additive models on manifolds of planar shapes and forms
- Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
- The Animation Transformer: Visual Correspondence via Segment Matching
- Class Semantics-based Attention for Action Detection
- EsmamDS: A more diverse exceptional survival model mining approach
- Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
- Scikit-dimension: a Python package for intrinsic dimension estimation
- General-Purpose Question-Answering with Macaw
- Knowledge Graph Enhanced Event Extraction in Financial Documents
- Delving into Macro Placement with Reinforcement Learning
- Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local Enhancement
- Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
- Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
- Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models
- Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks
- 3D Human Texture Estimation from a Single Image with Transformers
- GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain
- You should evaluate your language model on marginal likelihood over tokenisations
- Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT
- Generation of Synthetic Electronic Health Records Using a Federated GAN
- Towards API Testing Across Cloud and Edge
- Image In painting Applied to Art Completing Escher's Print Gallery
- Neural Ensemble Search via Bayesian Sampling
- Automated Robustness with Adversarial Training as a Post-Processing Step
- ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
- Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows
- Online Learning of Independent Cascade Models with Node-level Feedback
- Error Controlled Actor-Critic
- Proto: A Neural Cocktail for Generating Appealing Conversations
- Proceedings of the 9th International Symposium on Symbolic Computation in Software Science
- Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
- Voxel Transformer for 3D Object Detection
- Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques
- DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
- Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
- Active Learning for Automated Visual Inspection of Manufactured Products
- Learning to Perform Downlink Channel Estimation in Massive MIMO Systems
- Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
- Stochastic Subgradient Descent on a Generic Definable Function Converges to a Minimizer
- On Length Divergence Bias in Textual Matching Models
- Learning Neural Causal Models with Active Interventions
- Multitask Balanced and Recalibrated Network for Medical Code Prediction
- Detection of Insider Threats using Artificial Intelligence and Visualisation
- Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays
- A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
- Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
- Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
- Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
- Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data
- Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
- On Second-order Optimization Methods for Federated Learning
- Explicit construction of the minimum error variance estimator for stochastic LTI state-space systems
- Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven
All 155
- Backdoor Attack and Defense for Deep Regression
- PermuteFormer: Efficient Relative Position Encoding for Long Sequences
- Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
- Improved RAMEN: Towards Domain Generalization for Visual Question Answering
- Point-Based Neural Rendering with Per-View Optimization
- From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
- Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany
- Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
- Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases
- A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
- Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning
- Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
- F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
- Tensor Normalization and Full Distribution Training
- Information Theory-Guided Heuristic Progressive Multi-View Coding
- Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
- Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
- MyProfessors: Mining Turkish Student Reviews
- Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review
- LightTag: Text Annotation Platform
- Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation
- Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
- Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
- Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
- Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
- Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
- Does Melania Trump have a body double from the perspective of automatic face recognition?
- Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing
- Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method
- MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
- CTRL-C: Camera calibration TRansformer with Line-Classification
- Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations
- Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations
- Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
- Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data
- Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
- STaCK: Sentence Ordering with Temporal Commonsense Knowledge
- Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
- Supervised DKRC with Images for Offline System Identification
- BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
- Gradient Normalization for Generative Adversarial Networks
- Image recognition via Vietoris-Rips complex
- Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes
- Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
- Learning to Generate Scene Graph from Natural Language Supervision
- GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
- On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
- Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
- GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
- Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
- Learning Fine-Grained Motion Embedding for Landscape Animation
- Fairness via AI: Bias Reduction in Medical Information
- Parsing Table Structures in the Wild
- Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia
- Thompson Sampling for Bandits with Clustered Arms