mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 2 Jan 2023

88 papers

  1. Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data SetsDiffusion models → Medical imaging and segmentation
  2. Diffusion Probabilistic Models for Scene-Scale 3D Categorical DataDiffusion models → 3D, point cloud and scene generation
  3. GPU accelerated matrix factorization of large scale data using block based approach
  4. Archaeological Sites Detection with a Human-AI Collaboration Workflow
  5. Lost in Algorithms
  6. Deep Reinforcement Learning for Asset Allocation: Reward Clipping
  7. Non-intrusive Water Usage Classification Considering Limited Training Data
  8. Transferable Energy Storage Bidder
  9. DMOps: Data Management Operation and Recipes
  10. Transformer Based Geocoding
  11. Towards Modeling and Influencing the Dynamics of Human Learning
  12. State and parameter learning with PaRIS particle Gibbs
  13. Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
  14. Game of Intelligent Life
  15. Understanding Political Polarisation using Language Models: A dataset and method
  16. SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services
  17. What is Cognitive Computing? An Architecture and State of The Art
  18. OF-AE: Oblique Forest AutoEncoders
  19. MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding
  20. Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order
  21. 3DSGrasp: 3D Shape-Completion for Robotic Grasp
  22. Robust Average-Reward Markov Decision Processes
  23. Tweet's popularity dynamics
  24. Ranking Differential Privacy
  25. A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
  26. SIRL: Similarity-based Implicit Representation Learning
  27. ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
  28. Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
  29. Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
  30. Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions
  31. Preface: Characterisation of Physical Processes from Anomalous Diffusion Data
  32. STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos
  33. Causal Inference (C-inf) -- closed form worst case typical phase transitions
  34. The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
  35. CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
  36. Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries
  37. SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
  38. PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
  39. Segmentation based tracking of cells in 2D+time microscopy images of macrophages
  40. Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications
  41. Interactive Control over Temporal Consistency while Stylizing Video Streams
  42. NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory
  43. P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
  44. Training Differentially Private Graph Neural Networks with Random Walk Sampling
  45. Mixed moving average field guided learning for spatio-temporal data
  46. Learning Invariance from Generated Variance for Unsupervised Person Re-identification
  47. IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale
  48. Learning Road Scene-level Representations via Semantic Region Prediction
  49. On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
  50. Tsetlin Machine Embedding: Representing Words Using Logical Expressions
  51. Muse: Text-To-Image Generation via Masked Generative Transformers
  52. Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach
  53. Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization
  54. Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear
  55. Using Active Learning Methods to Strategically Select Essays for Automated Scoring
  56. Design and analysis of tweet-based election models for the 2021 Mexican legislative election
  57. Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
  58. Data-Driven Optimization of Directed Information over Discrete Alphabets
  59. Dynamically Modular and Sparse General Continual Learning
  60. An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and Mapping
  61. Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries
  62. Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs
  63. A contrastive learning approach for individual re-identification in a wild fish population
  64. Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets
  65. Edge Enhanced Image Style Transfer via Transformers
  66. Analysing Discrete Self Supervised Speech Representation for Spoken Language Modeling
  67. Sparse neural networks with skip-connections for identification of aluminum electrolysis cell
  68. Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery
  69. Using meaning instead of words to track topics
  70. Local Differential Privacy for Sequential Decision Making in a Changing Environment
  71. Learning to Maximize Mutual Information for Dynamic Feature Selection
  72. Scene Structure Guidance Network: Unfolding Graph Partitioning into Pixel-Wise Feature Learning
  73. Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality
  74. Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
  75. Statistical Machine Translation for Indic Languages
  76. Posterior Collapse and Latent Variable Non-identifiability
  77. Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
  78. Learning Confident Classifiers in the Presence of Label Noise
  79. A Policy Optimization Method Towards Optimal-time Stability
  80. Holistic Network Virtualization and Pervasive Network Intelligence for 6G
  81. Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications
  82. Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
  83. On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
  84. EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification Methodologies
  85. Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning
  86. A Concept Knowledge Graph for User Next Intent Prediction at Alipay
  87. Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control
  88. Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting