Papers
Mon 2 Aug 2021
152 papers
- Self-Supervised Disentangled Representation Learning for Third-Person Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Learning off-road maneuver plans for autonomous vehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLRKnowledge distillation → General knowledge distillation methods
- Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study
- A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory
- Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment
- Dynamic Multi-scale Convolution for Dialect Identification
- An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation
- Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor
- Learning Linearized Assignment Flows for Image Labeling
- Deep Stable neural networks: large-width asymptotics and convergence rates
- Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19
- On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)
- Adversarial Energy Disaggregation for Non-intrusive Load Monitoring
- Robustness of convolutional neural networks to physiological ECG noise
- A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data
- Creation and Detection of German Voice Deepfakes
- Quantum Neural Networks: Concepts, Applications, and Challenges
- Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
- Computing the Newton-step faster than Hessian accumulation
- Representation learning for neural population activity with Neural Data Transformers
- User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems
- The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms
- Multispectral Vineyard Segmentation: A Deep Learning approach
- Neural Image Representations for Multi-Image Fusion and Layer Separation
- MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks
- Underreporting of errors in NLG output, and what to do about it
- Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning
- Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks
- A computational geometry approach for modeling neuronal fiber pathways
- Knowledge-intensive Language Understanding for Explainable AI
- Consistent Depth of Moving Objects in Video
- Maximizing and Satisficing in Multi-armed Bandits with Graph Information
- Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning
- PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
- The Role of Phonetic Units in Speech Emotion Recognition
- Decoupling recognition and transcription in Mandarin ASR
- Hybrid Quantum-Classical Neural Network for Incident Detection
- Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
- Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles
- Metodos de Agrupamentos em dois Estagios
- Automatic recognition of suprasegmentals in speech
- Pre-trained Models for Sonar Images
- Batch Normalization Preconditioning for Neural Network Training
- Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data
- Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
- SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
- S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
- Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
- Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
- Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty
- Distributed Attention for Grounded Image Captioning
- Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
- Musical Speech: A Transformer-based Composition Tool
- Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
- Quantum machine learning of large datasets using randomized measurements
- Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
- An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
- Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis
- A Framework for Multi-View Classification of Features
- Predicting user demographics based on interest analysis
- Sequoia: A Software Framework to Unify Continual Learning Research
- Prescribing net demand for two-stage electricity generation scheduling
- Wood-leaf classification of tree point cloud based on intensity and geometrical information
- Generalization bounds for nonparametric regression with β-mixing samples
- My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
- The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted L1 regularized Neural Networks Predictions
- PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
- Constrained Shortest Path Search with Graph Convolutional Neural Networks
- Multilevel Knowledge Transfer for Cross-Domain Object Detection
- Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
- Convergence rates of deep ReLU networks for multiclass classification
- Robust Semantic Segmentation with Superpixel-Mix
- Evaluating Deep Graph Neural Networks
- An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions
- Rethinking gradient sparsification as total error minimization
- StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
- A Survey of Human-in-the-loop for Machine Learning
- Machine Learning Constructives and Local Searches for the Travelling Salesman Problem
- Communication-Efficient Federated Learning via Predictive Coding
- I2V-GAN: Unpaired Infrared-to-Visible Video Translation
- Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
- Extending Sticky-Datalog+/- via Finite-Position Selection Functions: Tractability, Algorithms, and Optimization
- Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
- Shallow Attention Network for Polyp Segmentation
- Few-Shot Domain Adaptation For End-to-End Communication
- Shallow Feature Matters for Weakly Supervised Object Localization
- Constrained Graphic Layout Generation via Latent Optimization
- Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles
- AI Techniques for Software Requirements Prioritization
- Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
- The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
- Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL
- Learn to Match: Automatic Matching Network Design for Visual Tracking
- LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
- Training face verification models from generated face identity data
- Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
- Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
All 152
- Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
- Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud
- Self-supervised Answer Retrieval on Clinical Notes
- A Random Matrix Perspective on Random Tensors
- BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images
- Flip Learning: Erase to Segment
- Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem
- Multi-objective Conflict-based Search Using Safe-interval Path Planning
- Multiplicative updates for symmetric-cone factorizations
- Active Perception for Ambiguous Objects Classification
- Tensor completion using geodesics on Segre manifolds
- Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
- ConveRT for FAQ Answering
- Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot
- Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
- Multi-Objective Path-Based D* Lite
- Group Fisher Pruning for Practical Network Compression
- Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
- Improving Deep Learning for HAR with shallow LSTMs
- Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
- Piecewise Linear Units Improve Deep Neural Networks
- PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time
- LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment
- Self-supervised Audiovisual Representation Learning for Remote Sensing Data
- Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension
- Multimodal Feature Fusion for Video Advertisements Tagging Via Stacking Ensemble
- Identify Light-Curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection
- Towards Making Deep Learning-based Vulnerability Detectors Robust
- Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
- Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
- Causal Inference in Educational Systems: A Graphical Modeling Approach
- From LSAT: The Progress and Challenges of Complex Reasoning
- Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning
- Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform
- Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021
- Recurrent Mask Refinement for Few-Shot Medical Image Segmentation
- Investigating Attention Mechanism in 3D Point Cloud Object Detection
- RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
- Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- Bucketed PCA Neural Networks with Neurons Mirroring Signals
- TabPert: An Effective Platform for Tabular Perturbation
- Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails
- Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network
- Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making
- GTNet:Guided Transformer Network for Detecting Human-Object Interactions
- Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
- GraphFPN: Graph Feature Pyramid Network for Object Detection
- Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning
- Logic-Consistency Text Generation from Semantic Parses
- Ab-initio experimental violation of Bell inequalities
- MuSiQue: Multihop Questions via Single-hop Question Composition
- Accelerating Markov Random Field Inference with Uncertainty Quantification