Papers
Sun 18 Jul 2021
61 papers
- The brain is a computer is a brain: neuroscience's internal debate and the social significance of the Computational Metaphor
- Point-Cloud Deep Learning of Porous Media for Permeability Prediction
- Federated Action Recognition on Heterogeneous Embedded Devices
- Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity
- Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
- Stock price prediction using BERT and GAN
- A Topological Perspective on Causal Inference
- Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
- Argument Linking: A Survey and Forecast
- Decentralized federated learning of deep neural networks on non-iid data
- Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
- A pattern recognition approach for distinguishing between prose and poetry
- Decoupling Shrinkage and Selection for the Bayesian Quantile Regression
- A note on the article "On Exploiting Spectral Properties for Solving MDP with Large State Space"
- A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search
- A stepped sampling method for video detection using LSTM
- ANFIC: Image Compression Using Augmented Normalizing Flows
- GoTube: Scalable Stochastic Verification of Continuous-Depth Models
- Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
- Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
- Compressed Monte Carlo with application in particle filtering
- A Theory of PAC Learnability of Partial Concept Classes
- Sleep Staging Based on Multi Scale Dual Attention Network
- Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation
- YOLOX: Exceeding YOLO Series in 2021
- Support vector machines for learning reactive islands
- A New Representation of Successor Features for Transfer across Dissimilar Environments
- Feature Mining: A Novel Training Strategy for Convolutional Neural Network
- Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
- A Miniature Biological Eagle-Eye Vision System for Small Target Detection
- Reasoning about actions with EL ontologies with temporal answer sets
- RobustFed: A Truth Inference Approach for Robust Federated Learning
- A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks
- Unsupervised Skill-Discovery and Skill-Learning in Minecraft
- GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
- A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision
- Dynamic Convolution for 3D Point Cloud Instance Segmentation
- AS-MLP: An Axial Shifted MLP Architecture for Vision
- Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
- GuideBoot: Guided Bootstrap for Deep Contextual Bandits
- A High-Performance Adaptive Quantization Approach for Edge CNN Applications
- A Survey on Role-Oriented Network Embedding
- Co-designing Intelligent Control of Building HVACs and Microgrids
- A New Adaptive Gradient Method with Gradient Decomposition
- An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
- Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
- A Survey on Data-driven Software Vulnerability Assessment and Prioritization
- Probabilistic Verification of Neural Networks Against Group Fairness
- An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
- As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
- DeHumor: Visual Analytics for Decomposing Humor
- Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network
- Top-label calibration and multiclass-to-binary reductions
- Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19
- Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
- Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
- Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
- Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
- Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares
- Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
- Desiderata for Explainable AI in statistical production systems of the European Central Bank