Papers
Tue 12 Jan 2021
119 papers
- Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence LabelingSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
- Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
- Fast Facial Landmark Detection and Applications: A Survey
- Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality
- Design of borehole resistivity measurement acquisition systems using deep learning
- A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis
- TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation
- Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information
- Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios
- UCNN: A Convolutional Strategy on Unstructured Mesh
- Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot
- Personalized Federated Deep Learning for Pain Estimation From Face Images
- Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration
- Generative Adversarial U-Net for Domain-free Medical Image Augmentation
- Learning Efficient Representations for Keyword Spotting with Triplet Loss
- Improving Classification Accuracy with Graph Filtering
- Scalable Anytime Planning for Multi-Agent MDPs
- MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN
- Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
- Binary TTC: A Temporal Geofence for Autonomous Navigation
- Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
- Practical Speech Re-use Prevention in Voice-driven Services
- DuctTake: Spatiotemporal Video Compositing
- Forecasting blood sugar levels in Diabetes with univariate algorithms
- Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition
- Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization
- A Compact Deep Learning Model for Face Spoofing Detection
- Linear Representation Meta-Reinforcement Learning for Instant Adaptation
- CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions
- People, Places, and Ties: Landscape of social places and their social network structures
- Bootstrapping Motor Skill Learning with Motion Planning
- SEED: Self-supervised Distillation For Visual Representation
- Latent Alignment of Procedural Concepts in Multimodal Recipes
- Model-Based Machine Learning for Communications
- Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism
- Expanding Explainability: Towards Social Transparency in AI systems
- Explicit homography estimation improves contrastive self-supervised learning
- Boundary-Aware Segmentation Network for Mobile and Web Applications
- Cross-Modal Contrastive Learning for Text-to-Image Generation
- Convolutional Neural Network Simplification with Progressive Retraining
- A note on a confidence bound of Kuzborskij and Szepesv'ari
- Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information
- Benchmarking Simulation-Based Inference
- Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
- Dimensions of Commonsense Knowledge
- Automated Respiratory Event Detection Using Deep Neural Networks
- Context Matters: Self-Attention for Sign Language Recognition
- Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
- Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
- Predicting Relative Depth between Objects from Semantic Features
- AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text
- Toward Effective Automated Content Analysis via Crowdsourcing
- Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems
- Sharp detection boundaries on testing dense subhypergraph
- Superpixel-based Refinement for Object Proposal Generation
- Hyperbolic Deep Neural Networks: A Survey
- Fine-grained Semantic Constraint in Image Synthesis
- Of Non-Linearity and Commutativity in BERT
- Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention
- Data augmentation and feature selection for automatic model recommendation in computational physics
- Measuring Recommender System Effects with Simulated Users
- A Unified Framework for Online Trip Destination Prediction
- UFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion
- PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
- Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
- A character representation enhanced on-device Intent Classification
- Learning Intuitive Physics with Multimodal Generative Models
- Two-stage CNN-based wood log recognition
- Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
- Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
- Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem
- Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
- A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: application to COVID-19 patients
- An Evolutionary Game Model for Understanding Fraud in Consumption Taxes
- Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy
- Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning
- Reliable Fleet Analytics for Edge IoT Solutions
- A Regularized Limited Memory BFGS method for Large-Scale Unconstrained Optimization and its Efficient Implementations
- FaceX-Zoo: A PyTorch Toolbox for Face Recognition
- Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
- Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
- Dynamic Spectrum Access using Stochastic Multi-User Bandits
- Using uncertainty estimation to reduce false positives in liver lesion detection
- Interpretable discovery of new semiconductors with machine learning
- Rethinking Interactive Image Segmentation: Feature Space Annotation
- CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning
- Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning
- Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks
- On the Calibration and Uncertainty of Neural Learning to Rank Models
- Neural Contract Element Extraction Revisited: Letters from Sesame Street
- Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks
- Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST)
- Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork
- Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience
- Mixup Without Hesitation
- Take More Positives: An Empirical Study of Contrastive Learing in Unsupervised Person Re-Identification
- Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction
- Seed Stocking Via Multi-Task Learning
- Random Transformation of Image Brightness for Adversarial Attack
- DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
All 119
- A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis
- Neural Network-based Virtual Microphone Estimator
- LLA: Loss-aware Label Assignment for Dense Pedestrian Detection
- Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis
- Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop
- Estimating Galactic Distances From Images Using Self-supervised Representation Learning
- Trace Ratio Optimization with an Application to Multi-view Learning
- 3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
- Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection
- A Brief Survey of Associations Between Meta-Learning and General AI
- Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
- Enhanced Information Fusion Network for Crowd Counting
- Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning
- CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy
- HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
- Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces
- Transforming Multi-Conditioned Generation from Meaning Representation
- Quantum Mathematics in Artificial Intelligence
- A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks