mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 9 Jul 2023

78 papers

  1. Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image DiffusionDiffusion models → Image generation, text-to-image and editing
  2. Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected ResamplingDiffusion models → Flow matching, time series and science
  3. DIFF-NST: Diffusion Interleaving For deFormable Neural Style TransferDiffusion models → Image generation, text-to-image and editing
  4. CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
  5. Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier GuidanceDiffusion models → Diffusion foundations and sampling
  6. Semi Supervised Meta Learning for Spatiotemporal Learning
  7. Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings
  8. The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
  9. Ensemble learning for blending gridded satellite and gauge-measured precipitation data
  10. SpreadNUTS -- Moderate Dynamic Extension of Paths for No-U-Turn Sampling & Partitioning Visited Regions
  11. HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
  12. A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data
  13. A Survey on Figure Classification Techniques in Scientific Documents
  14. RidgeBase: A Cross-Sensor Multi-Finger Contactless Fingerprint Dataset
  15. TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement
  16. Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System
  17. From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior
  18. Review of feedback in Automated Essay Scoring
  19. Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data
  20. Emotion Analysis on EEG Signal Using Machine Learning and Neural Network
  21. MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment
  22. Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant
  23. Assessing the efficacy of large language models in generating accurate teacher responses
  24. ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey
  25. Convex Decomposition of Indoor Scenes
  26. A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing
  27. Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
  28. Bayesian tomography using polynomial chaos expansion and deep generative networks
  29. Real-time Human Detection in Fire Scenarios using Infrared and Thermal Imaging Fusion
  30. LakeBench: Benchmarks for Data Discovery over Data Lakes
  31. Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
  32. Generalized Action-based Ball Recovery Model using 360^circ data
  33. Investigating the Edge of Stability Phenomenon in Reinforcement Learning
  34. On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
  35. Extending the Forward Forward Algorithm
  36. Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
  37. Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work
  38. Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
  39. On the sample complexity of parameter estimation in logistic regression with normal design
  40. Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
  41. Predictive Coding For Animation-Based Video Compression
  42. Can Generative Large Language Models Perform ASR Error Correction?
  43. Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach
  44. Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling
  45. Latent Graph Attention for Enhanced Spatial Context
  46. A Survey and Approach to Chart Classification
  47. On The Impact of Machine Learning Randomness on Group Fairness
  48. A Novel Explainable Artificial Intelligence Model in Image Classification problem
  49. ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
  50. Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach
  51. Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition
  52. Carbon-Efficient Neural Architecture Search
  53. Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
  54. Marine Debris Detection in Satellite Surveillance using Attention Mechanisms
  55. Towards cross-language prosody transfer for dialog
  56. Enhancing Low-Light Images Using Infrared-Encoded Images
  57. A Deep Learning Framework for Solving Hyperbolic Partial Differential Equations: Part I
  58. FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
  59. Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
  60. Learning Space-Time Continuous Neural PDEs from Partially Observed States
  61. Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View
  62. Towards Assumption-free Bias Mitigation
  63. CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection
  64. A generative flow for conditional sampling via optimal transport
  65. Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets
  66. Visible and infrared self-supervised fusion trained on a single example
  67. GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
  68. A User Study on Explainable Online Reinforcement Learning for Adaptive Systems
  69. Restricted Generative Projection for One-Class Classification and Anomaly Detection
  70. Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing
  71. Class-Incremental Mixture of Gaussians for Deep Continual Learning
  72. Properly Learning Decision Trees with Queries Is NP-Hard
  73. DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs
  74. SVIT: Scaling up Visual Instruction Tuning
  75. Towards Fast and Scalable Private Inference
  76. DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
  77. Random Position Adversarial Patch for Vision Transformers
  78. Large-scale global optimization of ultra-high dimensional non-convex landscapes based on generative neural networks