mlsanityData to 7 Oct 2026

Papers

New on arXiv

Sat 13 Nov 2021

64 papers

  1. Equivalent Distance Geometry Error for Molecular Conformation Comparison
  2. Multi-Class and Automated Tweet Categorization
  3. GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
  4. A Practical guide on Explainable AI Techniques applied on Biomedical use case applications
  5. Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records
  6. Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
  7. Multiset Neurons
  8. Multiset Signal Processing and Electronics
  9. Spatial machine-learning model diagnostics: a model-agnostic distance-based approach
  10. An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning
  11. Bag of Tricks and A Strong baseline for Image Copy Detection
  12. Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings
  13. PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People
  14. Learning Neural Models for Continuous-Time Sequences
  15. A feast for trolls -- Engagement analysis of counternarratives against online toxicity
  16. Reliably-stabilizing piecewise-affine neural network controllers
  17. Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
  18. Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning
  19. Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning
  20. The Three Stages of Learning Dynamics in High-Dimensional Kernel Methods
  21. Efficient Binary Embedding of Categorical Data using BinSketch
  22. Robust Deep Reinforcement Learning for Extractive Legal Summarization
  23. Developing a Novel Approach for Periapical Dental Radiographs Segmentation
  24. Session-aware Item-combination Recommendation with Transformer Network
  25. SocialBERT -- Transformers for Online SocialNetwork Language Modelling
  26. New Performance Measures for Object Tracking under Complex Environments
  27. The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes
  28. Full-attention based Neural Architecture Search using Context Auto-regression
  29. Towards One Shot Search Space Poisoning in Neural Architecture Search
  30. Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features
  31. Visual Understanding of Complex Table Structures from Document Images
  32. On the Statistical Benefits of Curriculum Learning
  33. MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence
  34. Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
  35. Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
  36. Nystr"om Regularization for Time Series Forecasting
  37. A strong baseline for image and video quality assessment
  38. Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
  39. Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method
  40. D2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
  41. Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes
  42. Learning Data Teaching Strategies Via Knowledge Tracing
  43. Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in L2(ℝd,γd)
  44. Networking of Internet of UAVs: Challenges and Intelligent Approaches
  45. Memotion Analysis through the Lens of Joint Embedding
  46. Factorial Convolution Neural Networks
  47. PAMMELA: Policy Administration Methodology using Machine Learning
  48. Bolstering Stochastic Gradient Descent with Model Building
  49. Image Classification with Consistent Supporting Evidence
  50. Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
  51. Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
  52. Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization
  53. Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation
  54. UET-Headpose: A sensor-based top-view head pose dataset
  55. Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
  56. Introducing Variational Autoencoders to High School Students
  57. Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
  58. Learning to Evolve on Dynamic Graphs
  59. Improving the Otsu Thresholding Method of Global Binarization Using Ring Theory for Ultrasonographies of Congestive Heart Failure
  60. Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
  61. HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation
  62. Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
  63. LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts
  64. A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition