mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 21 Jul 2021

128 papers

  1. Creating synthetic night-time visible-light meteorological satellite images using the GAN method
  2. Looking for the Signs: Identifying Isolated Sign Instances in Continuous Video Footage
  3. Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition
  4. Decision Making Using Rough Set based Spanning Sets for a Decision System
  5. Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates
  6. Economic Recession Prediction Using Deep Neural Network
  7. High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
  8. Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition
  9. Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
  10. Accuracy analysis of Educational Data Mining using Feature Selection Algorithm
  11. Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
  12. Digital Einstein Experience: Fast Text-to-Speech for Conversational AI
  13. Rule-Based Classification of Hyperspectral Imaging Data
  14. StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
  15. Reinforcement Learning Agent Training with Goals for Real World Tasks
  16. Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
  17. Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
  18. Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
  19. A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
  20. Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
  21. Reading Race: AI Recognises Patient's Racial Identity In Medical Images
  22. Uncertainty-Aware Task Allocation for Distributed Autonomous Robots
  23. Multi-Stream Transformers
  24. Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies
  25. Machine learning for assessing quality of service in the hospitality sector based on customer reviews
  26. mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars
  27. COfEE: A Comprehensive Ontology for Event Extraction from text
  28. Small-Text: Active Learning for Text Classification in Python
  29. A Sparsity Algorithm with Applications to Corporate Credit Rating
  30. Rethinking Trajectory Forecasting Evaluation
  31. Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
  32. A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
  33. Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms
  34. Neural Fixed-Point Acceleration for Convex Optimization
  35. Demonstration-Guided Reinforcement Learning with Learned Skills
  36. Using Adversarial Debiasing to Remove Bias from Word Embeddings
  37. Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
  38. CycleMLP: A MLP-like Architecture for Dense Prediction
  39. Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation
  40. Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
  41. Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations
  42. Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities
  43. Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
  44. Distribution of Classification Margins: Are All Data Equal?
  45. DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
  46. JEFL: Joint Embedding of Formal Proof Libraries
  47. Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
  48. 3D fluorescence microscopy data synthesis for segmentation and benchmarking
  49. Domain Adaptation without Model Transferring
  50. Leave-one-out Unfairness
  51. Evidential Deep Learning for Open Set Action Recognition
  52. Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification
  53. Predicting trajectory behaviour via machine-learned invariant manifolds
  54. A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
  55. On the Memorization Properties of Contrastive Learning
  56. AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation
  57. Improved Text Classification via Contrastive Adversarial Training
  58. Extracting Governing Laws from Sample Path Data of Non-Gaussian Stochastic Dynamical Systems
  59. A variational approximate posterior for the deep Wishart process
  60. Peer Selection with Noisy Assessments
  61. Training Electric Vehicle Charging Controllers with Imitation Learning
  62. On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
  63. Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
  64. Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
  65. Incentivizing Compliance with Algorithmic Instruments
  66. SituationCO v1.2's Terms, Properties, Relationships and Axioms -- A Core Ontology for Particular and Generic Situations
  67. HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
  68. Interpreting diffusion score matching using normalizing flow
  69. From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting
  70. Adaptive Inducing Points Selection For Gaussian Processes
  71. Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text Recognition
  72. Conditional GANs with Auxiliary Discriminative Classifier
  73. You Better Look Twice: a new perspective for designing accurate detectors with reduced computations
  74. KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
  75. Comparison of Czech Transformers on Text Classification Tasks
  76. Learning Theorem Proving Components
  77. Differentiable Feature Selection, a Reparameterization Approach
  78. CATE: CAusality Tree Extractor from Natural Language Requirements
  79. Neuradicon: operational representation learning of neuroimaging reports
  80. Relational Graph Convolutional Networks: A Closer Look
  81. Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
  82. Optimal Operation of Power Systems with Energy Storage under Uncertainty: A Scenario-based Method with Strategic Sampling
  83. Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN
  84. Deep Iterative 2D/3D Registration
  85. Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
  86. MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments
  87. CL4AC: A Contrastive Loss for Audio Captioning
  88. High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss
  89. Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
  90. Fabrication-Aware Reverse Engineering for Carpentry
  91. Quantum Pattern Recognition in Photonic Circuits
  92. Memorization in Deep Neural Networks: Does the Loss Function matter?
  93. Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis
  94. Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
  95. Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary
  96. Online structural kernel selection for mobile health
  97. A Statistical Model of Word Rank Evolution
  98. Preventing dataset shift from breaking machine-learning biomarkers
  99. Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
  100. Predicting Issue Types on GitHub
All 128
  1. The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding
  2. Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction
  3. GLIME: A new graphical methodology for interpretable model-agnostic explanations
  4. A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction
  5. Design of Experiments for Stochastic Contextual Linear Bandits
  6. DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework
  7. Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification
  8. Anomaly Detection via Self-organizing Map
  9. Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection
  10. Defending against Reconstruction Attack in Vertical Federated Learning
  11. Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data
  12. Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models
  13. An overview of mixing augmentation methods and augmentation strategies
  14. MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
  15. How Do Pedophiles Tweet? Investigating the Writing Styles and Online Personas of Child Cybersex Traffickers in the Philippines
  16. ECG Heartbeat Classification Using Multimodal Fusion
  17. Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation
  18. EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models
  19. CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision
  20. CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding
  21. Guided Generation of Cause and Effect
  22. TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
  23. Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
  24. Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer
  25. Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
  26. Audio Captioning Transformer
  27. A Factor Graph-based approach to vehicle sideslip angle estimation
  28. Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models