Papers
Tue 25 Jan 2022
160 papers
- Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity AlignmentKnowledge distillation → Graph neural network distillation
- Attentive Task Interaction Network for Multi-Task LearningKnowledge distillation → General knowledge distillation methods
- Tracking and Planning with Spatial World ModelsWorld models → World models for navigation
- Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in RoboticsLLM reasoning → Spatial and embodied reasoning
- SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-TrainingKnowledge distillation → Speech and audio distillation
- MOORe: Model-based Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Parameter Identification of a PN-Guided Incoming Missile Using an Improved Multiple-Model Mechanism
- Semi-Supervised GCN for learning Molecular Structure-Activity Relationships
- Molecule Generation from Input-Attributions over Graph Convolutional Networks
- Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation
- The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
- Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
- A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing
- Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences
- Representations learnt by SGD and Adaptive learning rules: Conditions that vary sparsity and selectivity in neural networks
- Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors
- Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression
- Semantic Code Classification for Automated Machine Learning
- Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
- Neuro-Symbolic Entropy Regularization
- Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
- Projective Urban Texturing
- Virtual Adversarial Training for Semi-supervised Breast Mass Classification
- Writer Recognition Using Off-line Handwritten Single Block Characters
- Do Neural Networks for Segmentation Understand Insideness?
- MGA-VQA: Multi-Granularity Alignment for Visual Question Answering
- SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering
- Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data
- Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion
- Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction
- Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise
- The ABBE Corpus: Animate Beings Being Emotional
- Extending compositional data analysis from a graph signal processing perspective
- DOM-LM: Learning Generalizable Representations for HTML Documents
- Jacobian Computation for Cumulative B-Splines on SE(3) and Application to Continuous-Time Object Tracking
- A Kernel Learning Method for Backward SDE Filter
- DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning
- Supervised learning of sheared distributions using linearized optimal transport
- Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding
- Optimal estimation of Gaussian DAG models
- Optimal Data Selection: An Online Distributed View
- A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data
- Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
- Explainability in Music Recommender Systems
- Suicidal Ideation Detection on Social Media: A Review of Machine Learning Methods
- Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging
- A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks
- What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization
- Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
- Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos
- Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
- GIU-GANs: Global Information Utilization for Generative Adversarial Networks
- Convex Analysis of the Mean Field Langevin Dynamics
- Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality
- Conditional entropy minimization principle for learning domain invariant representation features
- FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
- The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
- An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic
- How Low Can We Go? Pixel Annotation for Semantic Segmentation
- Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
- AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
- Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video
- Safe AI -- How is this Possible?
- Main Product Detection with Graph Networks for Fashion
- A Quantitative and Qualitative Analysis of Schizophrenia Language
- Improving segmentation of calcified and non-calcified plaques on CCTA-CPR scans via masking of the artery wall
- Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
- Language Generation for Broad-Coverage, Explainable Cognitive Systems
- Comparison of Evaluation Metrics for Landmark Detection in CMR Images
- An Algorithmic Framework for Bias Bounties
- Attention-Based Vandalism Detection in OpenStreetMap
- Improving Proximity Classification for Contact Tracing using a Multi-channel Approach
- Towards Cross-Disaster Building Damage Assessment with Graph Convolutional Networks
- Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition
- Interspecies Collaboration in the Design of Visual Identity: A Case Study
- BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge
- Public Information Representation for Adversarial Team Games
- Modeling Multi-level Context for Informational Bias Detection by Contrastive Learning and Sentential Graph Network
- Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention
- Winograd Convolution for Deep Neural Networks: Efficient Point Selection
- ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI
- Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation
- Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography
- Distributed Image Transmission using Deep Joint Source-Channel Coding
- Towards Objective Metrics for Procedurally Generated Video Game Levels
- ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation
- ShapeFormer: Transformer-based Shape Completion via Sparse Representation
- Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images
- Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection
- Comparison research on binary relations based on transitive degrees and cluster degrees
- Unboxing the graph: Neural Relational Inference for Mobility Prediction
- Mutual information neural estimation for unsupervised multi-modal registration of brain images
- Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts
- S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement
- Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition
- City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds
- Aerospace Human System Integration Evolution over the Last 40 Years
- Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis
- Convolutional Xformers for Vision
- Probability estimation and structured output prediction for learning preferences in last mile delivery
All 160
- Using Deep Reinforcement Learning for Zero Defect Smart Forging
- Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
- PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control
- DocEnTr: An End-to-End Document Image Enhancement Transformer
- On Uniform Boundedness Properties of SGD and its Momentum Variants
- BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment
- GMM Discriminant Analysis with Noisy Label for Each Class
- Improving the fusion of acoustic and text representations in RNN-T
- Design choice and machine learning model performances
- Bilevel Online Deep Learning in Non-stationary Environment
- Cold Start Active Learning Strategies in the Context of Imbalanced Classification
- Explanatory Learning: Beyond Empiricism in Neural Networks
- Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
- Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification
- Universal Generative Modeling for Calibration-free Parallel Mr Imaging
- Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
- Zero-Shot Sketch Based Image Retrieval using Graph Transformer
- Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model
- Pre-Trained Language Transformers are Universal Image Classifiers
- RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signals
- Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos
- Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection
- Investigating the impact of free energy based behavior on human in human-agent interaction
- Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks
- Neural Information Squeezer for Causal Emergence
- Unsupervised Image Fusion Method based on Feature Mutual Mapping
- TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network
- Riemannian Local Mechanism for SPD Neural Networks
- Almost Optimal Variance-Constrained Best Arm Identification
- SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
- Leveraging Structural Properties of Source Code Graphs for Just-In-Time Bug Prediction
- Convergence of Invariant Graph Networks
- Analysis of various climate change parameters in India using machine learning
- Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks
- PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs
- Multimodal data matters: language model pre-training over structured and unstructured electronic health records
- A Hybrid Quantum-Classical Algorithm for Robust Fitting
- ARPD: Anchor-free Rotation-aware People Detection using Topview Fisheye Camera
- Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds
- A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition
- RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation
- Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
- Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately
- Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond
- Dynamics-Aware Comparison of Learned Reward Functions
- Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
- Splatting-based Synthesis for Video Frame Interpolation
- A Regularity Theory for Static Schr"odinger Equations on ℝd in Spectral Barron Spaces
- Link Prediction with Contextualized Self-Supervision
- Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
- ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals
- Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation
- Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery
- Are Commercial Face Detection Models as Biased as Academic Models?
- Maximizing information from chemical engineering data sets: Applications to machine learning
- Self-Supervised Point Cloud Registration with Deep Versatile Descriptors
- Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks
- PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning
- Automatic Recognition and Digital Documentation of Cultural Heritage Hemispherical Domes using Images
- Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros