Papers
Fri 23 Apr 2021
120 papers
- Robust Federated Learning by Mixture of ExpertsMixture-of-experts → Federated mixture-of-experts
- Automated News Summarization Using Transformers
- Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech
- Analysis of Online Toxicity Detection Using Machine Learning Approaches
- Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media
- Generating abstractive summaries of Lithuanian news articles using a transformer model
- Towards Accurate Text-based Image Captioning with Content Diversity Exploration
- Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data
- Elo Ratings for Large Tournaments of Software Agents in Asymmetric Games
- Predicting Adversary Lateral Movement Patterns with Deep Learning
- Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders
- A Splicing Approach to Best Subset of Groups Selection
- Detecting and Matching Related Objects with One Proposal Multiple Predictions
- One-Round Active Learning
- On a Utilitarian Approach to Privacy Preserving Text Generation
- High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling
- Selecting a number of voters for a voting ensemble
- Playing Lottery Tickets with Vision and Language
- Optimal Dynamic Regret in Exp-Concave Online Learning
- Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities
- Partitioning sparse deep neural networks for scalable training and inference
- Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker
- Ensembles of GANs for synthetic training data generation
- On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
- UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
- Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages
- DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search
- Active Learning of Sequential Transducers with Side Information about the Domain
- Learnable Online Graph Representations for 3D Multi-Object Tracking
- VidTr: Video Transformer Without Convolutions
- Exact marginal prior distributions of finite Bayesian neural networks
- Evaluating Deception Detection Model Robustness To Linguistic Variation
- Safe Fakes: Evaluating Face Anonymizers for Face Detectors
- Skeletor: Skeletal Transformers for Robust Body-Pose Estimation
- Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation
- DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
- Safe Chance Constrained Reinforcement Learning for Batch Process Control
- Correlated Dynamics in Marketing Sensitivities
- Secure Artificial Intelligence of Things for Implicit Group Recommendations
- A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities
- Grouped Feature Importance and Combined Features Effect Plot
- Establishing phone-pair co-usage by comparing mobility patterns
- Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery
- Deep Learning Based Assessment of Synthetic Speech Naturalness
- Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
- MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance
- Claim Detection in Biomedical Twitter Posts
- Online recognition of unsegmented actions with hierarchical SOM architecture
- DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data
- GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
- Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches
- Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
- Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection
- Learning in Deep Neural Networks Using a Biologically Inspired Optimizer
- A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
- Region-Adaptive Deformable Network for Image Quality Assessment
- STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains
- DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking
- Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
- Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation
- CapillaryNet: An Automated System to Quantify Skin Capillary Density and Red Blood Cell Velocity from Handheld Vital Microscopy
- Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI
- QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification
- AttWalk: Attentive Cross-Walks for Deep Mesh Analysis
- The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System
- Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
- Optimizing small BERTs trained for German NER
- Knodle: Modular Weakly Supervised Learning with PyTorch
- Deep learning for sentence clustering in essay grading support
- Sketch-based Normal Map Generation with Geometric Sampling
- Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid
- Fine-Grained Texture Identification for Reliable Product Traceability
- Transitional Conditional Independence
- Middle-level Fusion for Lightweight RGB-D Salient Object Detection
- Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
- Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
- 3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces
- Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
- Conditional super-network weights
- Modeling long-term interactions to enhance action recognition
- Learning to Learn to be Right for the Right Reasons
- Time Series Forecasting via Learning Convolutionally Low-Rank Models
- DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
- Learning to Cluster Faces via Transformer
- Learning to reflect: A unifying approach for data-driven stochastic control strategies
- Stroke-Based Scene Text Erasing Using Synthetic Data for Training
- Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data
- Skip-Convolutions for Efficient Video Processing
- Inductive biases and Self Supervised Learning in modelling a physical heating system
- Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection
- A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning
- Sequential convolutional network for behavioral pattern extraction in gait recognition
- Random Noise Defense Against Query-Based Black-Box Attacks
- Probabilistic Rainfall Estimation from Automotive Lidar
- H2O: A Benchmark for Visual Human-human Object Handover Analysis
- LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
- Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL
- Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System
- SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
- Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction
All 120
- TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
- Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
- Learning phylogenetic trees as hyperbolic point configurations
- Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
- A Framework for Recognizing and Estimating Human Concentration Levels
- Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning
- Unsupervised Information Obfuscation for Split Inference of Neural Networks
- A modularity comparison of Long Short-Term Memory and Morphognosis neural networks
- Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
- Low Pass Filter for Anti-aliasing in Temporal Action Localization
- Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy
- Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification
- BERT-CoQAC: BERT-based Conversational Question Answering in Context
- Transfer training from smaller language model
- APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization
- Eigenbackground Revisited: Can We Model the Background with Eigenvectors?
- Decentralized Federated Averaging
- Normalized multivariate time series causality analysis and causal graph reconstruction
- Optimal Cost Design for Model Predictive Control
- Literature review on vulnerability detection using NLP technology