mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 29 Jul 2021

133 papers

  1. QuPeD: Quantized Personalization via Distillation with Applications to Federated LearningKnowledge distillation → Federated, robust and private distillation
  2. ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking LossMixture-of-experts → MoE large language models
  3. Hierarchical Self-supervised Augmented Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  4. Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
  5. Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition
  6. MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
  7. COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter
  8. Local Morphometry of Closed, Implicit Surfaces
  9. Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction
  10. Attribute Guided Sparse Tensor-Based Model for Person Re-Identification
  11. Exact and Heuristic Approaches to Drone Delivery Problems
  12. A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing & shelter needs
  13. Nonparametric posterior learning for emission tomography with multimodal data
  14. Densely connected neural networks for nonlinear regression
  15. U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
  16. Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential
  17. Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes
  18. Secure solutions for Smart City Command Control Centre using AIOT
  19. Bayesian Optimization in Materials Science: A Survey
  20. Video Based Fall Detection Using Human Poses
  21. Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge
  22. Modelling and Reasoning Techniques for Context Aware Computing in Intelligent Transportation System
  23. Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda
  24. Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais
  25. Deep Quantized Representation for Enhanced Reconstruction
  26. OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments
  27. MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS
  28. WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks
  29. Neural Networks for Parameter Estimation in Intractable Models
  30. Modeling User Empathy Elicited by a Robot Storyteller
  31. Towards robust vision by multi-task learning on monkey visual cortex
  32. Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness
  33. IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text
  34. PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase
  35. Deep Networks Provably Classify Data on Curves
  36. Reconstruction of Random Geometric Graphs: Breaking the Omega(r) distortion barrier
  37. Temporal Dependencies in Feature Importance for Time Series Predictions
  38. Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
  39. Distributed Identification of Contracting and/or Monotone Network Dynamics
  40. Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series
  41. Automatic Multi-Stain Registration of Whole Slide Images in Histopathology
  42. Temporal Feature Warping for Video Shadow Detection
  43. ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation
  44. Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning
  45. Batch Active Learning at Scale
  46. Quantifying Uncertainty for Machine Learning Based Diagnostic
  47. Modeling and Optimizing Laser-Induced Graphene
  48. EEG multipurpose eye blink detector using convolutional neural network
  49. Learning with Noisy Labels for Robust Point Cloud Segmentation
  50. Physics-informed Guided Disentanglement in Generative Networks
  51. Open-World Entity Segmentation
  52. Learning more skills through optimistic exploration
  53. Rethinking and Improving Relative Position Encoding for Vision Transformer
  54. A Unified Efficient Pyramid Transformer for Semantic Segmentation
  55. Using Visual Anomaly Detection for Task Execution Monitoring
  56. Personalized Trajectory Prediction via Distribution Discrimination
  57. Did the Model Change? Efficiently Assessing Machine Learning API Shifts
  58. Human Trajectory Prediction via Counterfactual Analysis
  59. RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection
  60. On the combined effect of class imbalance and concept complexity in deep learning
  61. Feature Importance-aware Transferable Adversarial Attacks
  62. ReFormer: The Relational Transformer for Image Captioning
  63. Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks
  64. Tianshou: a Highly Modularized Deep Reinforcement Learning Library
  65. Probabilistic and Geometric Depth: Detecting Objects in Perspective
  66. SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation
  67. Semi-Supervised Active Learning with Temporal Output Discrepancy
  68. Modern Non-Linear Function-on-Function Regression
  69. Mapping Vulnerable Populations with AI
  70. Enhancing Adversarial Robustness via Test-time Transformation Ensembling
  71. Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities
  72. What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?
  73. Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks
  74. Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
  75. The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances
  76. Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
  77. Few-Shot and Continual Learning with Attentive Independent Mechanisms
  78. Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation
  79. Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs
  80. Self-Supervised Learning for Fine-Grained Image Classification
  81. PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion
  82. Local Structure Matters Most: Perturbation Study in NLU
  83. Lyapunov-based uncertainty-aware safe reinforcement learning
  84. Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework
  85. Why You Should Try the Real Data for the Scene Text Recognition
  86. Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition
  87. Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
  88. Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
  89. Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
  90. Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
  91. Spatio-temporal graph neural networks for multi-site PV power forecasting
  92. Artificial Intelligence Hybrid Deep Learning Model for Groundwater Level Prediction Using MLP-ADAM
  93. Predicting battery end of life from solar off-grid system field data using machine learning
  94. Addressing materials' microstructure diversity using transfer learning
  95. Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound
  96. Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings
  97. VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
  98. Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes
  99. Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications
  100. The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions
All 133
  1. From Continuity to Editability: Inverting GANs with Consecutive Images
  2. FREE: Feature Refinement for Generalized Zero-Shot Learning
  3. RigNet: Repetitive Image Guided Network for Depth Completion
  4. CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation
  5. HAFLO: GPU-Based Acceleration for Federated Logistic Regression
  6. Non-Markovian Reinforcement Learning using Fractional Dynamics
  7. Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
  8. Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
  9. Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
  10. Geometry Uncertainty Projection Network for Monocular 3D Object Detection
  11. Bayesian Optimization for Min Max Optimization
  12. Video Generation from Text Employing Latent Path Construction for Temporal Modeling
  13. Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
  14. Viewpoint-Invariant Exercise Repetition Counting
  15. Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
  16. Malware Classification Using Transfer Learning
  17. Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
  18. Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
  19. Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools
  20. Learning the temporal evolution of multivariate densities via normalizing flows
  21. An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
  22. UIBert: Learning Generic Multimodal Representations for UI Understanding
  23. Amplitude Mean of Functional Data on mathbbS2
  24. Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
  25. Cascaded Residual Density Network for Crowd Counting
  26. Abnormal Behavior Detection Based on Target Analysis
  27. A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine
  28. A Similarity Measure of Histopathology Images by Deep Embeddings
  29. Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention
  30. AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
  31. An Online Question Answering System based on Sub-graph Searching
  32. Bayesian Embeddings for Few-Shot Open World Recognition
  33. Relational Graph Neural Networks for Fraud Detection in a Super-App environment