mlsanityData to 7 Oct 2026

Papers

New on arXiv

Fri 13 Jan 2023

99 papers

  1. Infusing Commonsense World Models with Graph KnowledgeWorld models → World models for language agents
  2. Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
  3. A Residual Diffusion Model for High Perceptual Quality Codec AugmentationDiffusion models → Diffusion for compression and wireless
  4. Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive ControlEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  5. Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset
  6. Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images
  7. An Omnidirectional Approach to Touch-based Continuous Authentication
  8. Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing
  9. Classification of vertices on social networks by multiple approaches
  10. A Case Study in Engineering a Conversational Programming Assistant's Persona
  11. A Comprehensive Review of Modern Object Segmentation Approaches
  12. The moral authority of ChatGPT
  13. Computational Pathology for Brain Disorders
  14. Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting
  15. Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
  16. Efficient Activation Function Optimization through Surrogate Modeling
  17. Lung airway geometry as an early predictor of autism: A preliminary machine learning-based study
  18. Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
  19. MLOps: A Primer for Policymakers on a New Frontier in Machine Learning
  20. RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods
  21. ML Approach for Power Consumption Prediction in Virtualized Base Stations
  22. A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
  23. Uncertainty Quantification for Local Model Explanations Without Model Access
  24. Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
  25. Artificial Benchmark for Community Detection with Outliers (ABCD+o)
  26. Laser: Latent Set Representations for 3D Generative Modeling
  27. Adaptive Neural Networks Using Residual Fitting
  28. Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation
  29. GAR: Generalized Autoregression for Multi-Fidelity Fusion
  30. A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
  31. OA-DET3D: Embedding Object Awareness as a General Plug-in for Multi-Camera 3D Object Detection
  32. Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap
  33. Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit
  34. Non-Stochastic CDF Estimation Using Threshold Queries
  35. Natural Language Processing of Aviation Occurrence Reports for Safety Management
  36. From stage to page: language independent bootstrap measures of distinctiveness in fictional speech
  37. Mutation Testing of Deep Reinforcement Learning Based on Real Faults
  38. Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles
  39. Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm
  40. Decentralized model-free reinforcement learning in stochastic games with average-reward objective
  41. Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization
  42. Reworking geometric morphometrics into a methodology of transformation grids
  43. Optimizing Facial Expressions of an Android Robot Effectively: a Bayesian Optimization Approach
  44. Co-manipulation of soft-materials estimating deformation from depth images
  45. Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition
  46. A Comprehensive Survey of Dataset Distillation
  47. Sem@K: Is my knowledge graph embedding model semantic-aware?
  48. Short-length SSVEP data extension by a novel generative adversarial networks based framework
  49. Scalable Estimation for Structured Additive Distributional Regression
  50. YOLOv6 v3.0: A Full-Scale Reloading
  51. A survey and taxonomy of loss functions in machine learning
  52. Toward General Design Principles for Generative AI Applications
  53. Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
  54. The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health
  55. Neural network with optimal neuron activation functions based on additive Gaussian process regression
  56. DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection
  57. Multilingual Alzheimer's Dementia Recognition through Spontaneous Speech: a Signal Processing Grand Challenge
  58. Biases in Inverse Ising Estimates of Near-Critical Behaviour
  59. Classification of Cross-cultural News Events
  60. Almost Surely √T Regret for Adaptive LQR
  61. Using the profile of publishers to predict barriers across news articles
  62. Development of a Prototype Application for Rice Disease Detection Using Convolutional Neural Networks
  63. Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation
  64. Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces
  65. Hyperparameter Optimization as a Service on INFN Cloud
  66. On the feasibility of attacking Thai LPR systems with adversarial examples
  67. RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
  68. CLIP the Gap: A Single Domain Generalization Approach for Object Detection
  69. Learning Transformations To Reduce the Geometric Shift in Object Detection
  70. Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion
  71. Disentangled Representation for Diversified Recommendations
  72. Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data
  73. Scalable Batch Acquisition for Deep Bayesian Active Learning
  74. FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing
  75. Structuring ontologies in a context of collaborative system modelling
  76. Designing losses for data-free training of normalizing flows on Boltzmann distributions
  77. Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
  78. It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers
  79. Learnable Heterogeneous Convolution: Learning both topology and strength
  80. Towards Single Camera Human 3D-Kinematics
  81. LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility
  82. Trends in Explainable AI (XAI) Literature
  83. Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks
  84. Anti-aliasing Predictive Coding Network for Future Video Frame Prediction
  85. Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
  86. Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
  87. In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
  88. Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
  89. Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity
  90. AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)
  91. Prompting Neural Machine Translation with Translation Memories
  92. Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution
  93. Text to Point Cloud Localization with Relation-Enhanced Transformer
  94. Towards Reconciling Usability and Usefulness of Explainable AI Methodologies
  95. A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks
  96. GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
  97. A Comprehensive Review of Data-Driven Co-Speech Gesture Generation
  98. Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation
  99. TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems