Papers
Sun 21 Mar 2021
84 papers
- 10 Years of the PCG workshop: Past and Future Trends
- An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information
- Stock price forecast with deep learning
- Forecasting with Deep Learning: S&P 500 index
- MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation
- A new public Alsat-2B dataset for single-image super-resolution
- Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data
- Conditional Frechet Inception Distance
- Unsupervised and self-adaptative techniques for cross-domain person re-identification
- Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation
- Dual Monte Carlo Tree Search
- Homophily Outlier Detection in Non-IID Categorical Data
- Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
- MoViNets: Mobile Video Networks for Efficient Video Recognition
- Scatter Correction in X-ray CT by Physics-Inspired Deep Learning
- Policy-Guided Heuristic Search with Guarantees
- UCB-based Algorithms for Multinomial Logistic Regression Bandits
- The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
- Paying Attention to Activation Maps in Camera Pose Regression
- #PraCegoVer: A Large Dataset for Image Captioning in Portuguese
- Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation
- NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
- Learning Multi-Scene Absolute Pose Regression with Transformers
- Robust Cell-Load Learning with a Small Sample Set
- UAV Images Dataset for Moving Object Detection from Moving Cameras
- Support Vector Regression Parameters Optimization using Golden Sine Algorithm and its application in stock market
- Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
- Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
- TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
- Traffic Camera Calibration via Vehicle Vanishing Point Detection
- Responsible AI: Gender bias assessment in emotion recognition
- A deep learning approach to data-driven model-free pricing and to martingale optimal transport
- SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
- Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
- Deep Distribution-preserving Incomplete Clustering with Optimal Transport
- Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
- L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset
- Non-Autoregressive Translation by Learning Target Categorical Codes
- Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
- SwissDial: Parallel Multidialectal Corpus of Spoken Swiss German
- Learning Calibrated-Guidance for Object Detection in Aerial Images
- ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
- Multi-view analysis of unregistered medical images using cross-view transformers
- Collaborative Agent Gameplay in the Pandemic Board Game
- Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
- Multi-level Metric Learning for Few-shot Image Recognition
- Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
- MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
- ProgressiveSpinalNet architecture for FC layers
- Natural Perturbed Training for General Robustness of Neural Network Classifiers
- Online Convex Optimization with Continuous Switching Constraint
- ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
- Self adversarial attack as an augmentation method for immunohistochemical stainings
- NameRec*: Highly Accurate and Fine-grained Person Name Recognition
- Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
- Structural block driven - enhanced convolutional neural representation for relation extraction
- Online Strongly Convex Optimization with Unknown Delays
- Detecting Label Noise via Leave-One-Out Cross-Validation
- Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
- Neighbor Embedding Variational Autoencoder
- Monte Carlo Information-Oriented Planning
- BigCarl: Mining frequent subnets from a single large Petri net
- Mining GIS Data to Predict Urban Sprawl
- ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method
- AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
- Comments on Leo Breiman's paper 'Statistical Modeling: The Two Cultures' (Statistical Science, 2001, 16(3), 199-231)
- Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
- Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
- Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification
- Language-Agnostic Representation Learning of Source Code from Structure and Context
- A Learned Compact and Editable Light Field Representation
- PGT: A Progressive Method for Training Models on Long Videos
- Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements
- A Modular and Unified Framework for Detecting and Localizing Video Anomalies
- Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors
- Insight-centric Visualization Recommendation
- ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs
- Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
- Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks
- High precision control and deep learning-based corn stand counting algorithms for agricultural robot
- Self-supervised Representation Learning with Relative Predictive Coding
- Sliding Mode Learning Control of Uncertain Nonlinear Systems with Lyapunov Stability Analysis
- Structural Textile Pattern Recognition and Processing Based on Hypergraphs
- Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection