mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 30 Jan 2021

76 papers

  1. A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?Efficient LLM inference and serving → Early exit and edge inference
  2. Multi-Time-Scale Input Approaches for Hourly-Scale Rainfall-Runoff Modeling based on Recurrent Neural Networks
  3. Fundamentals of Semantic Numeration Systems. Can the Context be Calculated?
  4. Semantic Borrowing for Generalized Zero-Shot Learning
  5. Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning
  6. The Landscape of Multi-Layer Linear Neural Network From the Perspective of Algebraic Geometry
  7. Amazon Product Recommender System
  8. Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research
  9. Estimating indoor occupancy through low-cost BLE devices
  10. LSSED: a large-scale dataset and benchmark for speech emotion recognition
  11. Robust Attack Detection Approach for IIoT Using Ensemble Classifier
  12. Enacted Visual Perception: A Computational Model based on Piaget Equilibrium
  13. Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man
  14. Deep Reinforcement Learning-Based Product Recommender for Online Advertising
  15. Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
  16. Video Reenactment as Inductive Bias for Content-Motion Disentanglement
  17. A Supervised Learning Approach for Robust Health Monitoring using Face Videos
  18. Recurrent Submodular Welfare and Matroid Blocking Bandits
  19. Efficient CNN Building Blocks for Encrypted Data
  20. Metalearning: Sparse Variable-Structure Automata
  21. Size and Depth Separation in Approximating Benign Functions with Neural Networks
  22. Cortical Features for Defense Against Adversarial Audio Attacks
  23. Fairness through Social Welfare Optimization
  24. Symmetry-Aware Reservoir Computing
  25. Spike and slab Bayesian sparse principal component analysis
  26. If you've got it, flaunt it: Making the most of fine-grained sentiment annotations
  27. Deep Learning--Based Scene Simplification for Bionic Vision
  28. Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems
  29. Speech Recognition by Simply Fine-tuning BERT
  30. Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
  31. Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation
  32. Advancing the AmbientGAN for learning stochastic object models
  33. Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks
  34. Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning
  35. EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction
  36. Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training
  37. Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification
  38. Atlas Generative Models and Geodesic Interpolation
  39. Synthetic Dataset Generation of Driver Telematics
  40. A fast method for simultaneous reconstruction and segmentation in X-ray CT application
  41. Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet
  42. SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
  43. ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models
  44. Parameter-free Stochastic Optimization of Variationally Coherent Functions
  45. An evolutionary view on the emergence of Artificial Intelligence
  46. ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification
  47. MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing
  48. NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution
  49. Learning From How Humans Correct
  50. ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
  51. Taxonomic survey of Hindi Language NLP systems
  52. Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images
  53. Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
  54. Time Series (re)sampling using Generative Adversarial Networks
  55. Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
  56. Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks
  57. Rates of convergence for density estimation with generative adversarial networks
  58. Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech Mixtures
  59. Quantifying Visual Image Quality: A Bayesian View
  60. Coupling innovation method and feasibility analysis of garbage classification
  61. Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures
  62. On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
  63. Adversarially learning disentangled speech representations for robust multi-factor voice conversion
  64. Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction
  65. Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection
  66. Can We Automate Scientific Reviewing?
  67. Segmentation of skin lesions and their attributes using Generative Adversarial Networks
  68. Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm
  69. Deep Model Compression based on the Training History
  70. Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models
  71. Expressive Neural Voice Cloning
  72. DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation
  73. Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection
  74. Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
  75. The effect of differential victim crime reporting on predictive policing systems
  76. On Data Efficiency of Meta-learning