mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 2 Apr 2022

83 papers

  1. Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationKnowledge distillation → Distillation for continual learning
  2. Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge DistillationKnowledge distillation → Speech and audio distillation
  3. Particle Swarm Optimization Based Demand Response Using Artificial Neural Network Based Load Prediction
  4. Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation
  5. Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks
  6. Optimizing generalized Gini indices for fairness in rankings
  7. Bayesian Negative Sampling for Recommendation
  8. Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring
  9. Transfinite Modal Logic: a Semi-quantitative Explanation for Bayesian Reasoning
  10. Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data
  11. Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation
  12. Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
  13. Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder
  14. Convolutional Neural Networks for Image Spam Detection
  15. Forestry digital twin with machine learning in Landsat 7 data
  16. MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
  17. Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
  18. Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
  19. Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
  20. A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
  21. Risk-Aware Control and Optimization for High-Renewable Power Grids
  22. Matching Feature Sets for Few-Shot Image Classification
  23. Progressive Minimal Path Method with Embedded CNN
  24. Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification
  25. A-ACT: Action Anticipation through Cycle Transformations
  26. Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
  27. Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
  28. AutoProtoNet: Interpretability for Prototypical Networks
  29. SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
  30. Word separation in continuous sign language using isolated signs and post-processing
  31. Deep Algebraic Fitting for Multiple Circle Primitives Extraction from Raw Point Clouds
  32. BERT-Assisted Semantic Annotation Correction for Emotion-Related Questions
  33. Mix-up Self-Supervised Learning for Contrast-agnostic Applications
  34. A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets
  35. Moment-based Adversarial Training for Embodied Language Comprehension
  36. Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
  37. Dimensionless machine learning: Imposing exact units equivariance
  38. Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
  39. SciNoBo : A Hierarchical Multi-Label Classifier of Scientific Publications
  40. Co-VQA : Answering by Interactive Sub Question Sequence
  41. Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature
  42. Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding
  43. CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
  44. A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data
  45. Adversarial Neon Beam: A Light-based Physical Attack to DNNs
  46. Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning
  47. Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
  48. Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images
  49. PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation
  50. Automatic Registration of Images with Inconsistent Content Through Line-Support Region Segmentation and Geometrical Outlier Removal
  51. Intelligence at the Extreme Edge: A Survey on Reformable TinyML
  52. Online Convolutional Re-parameterization
  53. AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio
  54. Semantic-Aware Domain Generalized Segmentation
  55. Efficient comparison of sentence embeddings
  56. RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration
  57. Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
  58. HLDC: Hindi Legal Documents Corpus
  59. End-to-end model for named entity recognition from speech without paired training data
  60. Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey
  61. Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
  62. A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition
  63. Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency
  64. R(Det)^2: Randomized Decision Routing for Object Detection
  65. IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning
  66. CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis
  67. SAD: A Large-scale Dataset towards Airport Detection in Synthetic Aperture Radar Images
  68. Supervised Robustness-preserving Data-free Neural Network Pruning
  69. Distributional Gradient Boosting Machines
  70. Revealing the CO2 emission reduction of ridesplitting and its determinants based on real-world data
  71. Speaker adaptation for Wav2vec2 based dysarthric ASR
  72. Variational message passing for online polynomial NARMAX identification
  73. Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
  74. Do learned representations respect causal relationships?
  75. Safe Reinforcement Learning via Shielding under Partial Observability
  76. Homography Loss for Monocular 3D Object Detection
  77. Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
  78. RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques
  79. What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions
  80. Entity-Centric Query Refinement
  81. Learning to Simplify with Data Hopelessly Out of Alignment
  82. Path Development Network with Finite-dimensional Lie Group Representation
  83. SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning