mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 20 Jan 2021

109 papers

  1. Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19Knowledge distillation → General knowledge distillation methods
  2. Learning to Augment for Data-Scarce Domain BERT Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  3. Android Controlled Mobile Robot Design with IP Camera
  4. Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects
  5. VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care
  6. Exploratory Arabic Offensive Language Dataset Analysis
  7. A Taylor Based Sampling Scheme for Machine Learning in Computational Physics
  8. Visible light communication-based monitoring for indoor environments using unsupervised learning
  9. Obsolete Personal Information Update System for the Prevention of Falls among Elderly Patients
  10. Improved Sensitivity of Base Layer on the Performance of Rigid Pavement
  11. A Robust Blockchain Readiness Index Model
  12. A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
  13. Dive into Decision Trees and Forests: A Theoretical Demonstration
  14. Influence Estimation for Generative Adversarial Networks
  15. Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs
  16. Marius: Learning Massive Graph Embeddings on a Single Machine
  17. Enhancing Generative Models via Quantum Correlations
  18. Do we need to go Deep? Knowledge Tracing with Big Data
  19. Nonparametric clustering for image segmentation
  20. Learning Ultrasound Rendering from Cross-Sectional Model Slices for Simulated Training
  21. Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
  22. Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
  23. Non-Convex Compressed Sensing with Training Data
  24. Chest X-ray lung and heart segmentation based on minimal training sets
  25. From Local Pseudorandom Generators to Hardness of Learning
  26. Exploring AI in Fashion: A Review of Aesthetics, Personalization, Virtual Try-On, and Forecasting
  27. Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network
  28. The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds
  29. Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem
  30. Autocart -- spatially-aware regression trees for ecological and spatial modeling
  31. RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery
  32. Data-to-text Generation by Splicing Together Nearest Neighbors
  33. Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
  34. Word Alignment by Fine-tuning Embeddings on Parallel Corpora
  35. SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP
  36. Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning
  37. Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training
  38. secureTF: A Secure TensorFlow Framework
  39. Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
  40. Synthesizing Context-free Grammars from Recurrent Neural Networks (Extended Version)
  41. Open-Domain Conversational Search Assistant with Transformers
  42. Introduction to Normalizing Flows for Lattice Field Theory
  43. SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
  44. mt5se: An Open Source Framework for Building Autonomous Trading Robots
  45. Neural-based Modeling for Performance Tuning of Spark Data Analytics
  46. Video Relation Detection with Trajectory-aware Multi-modal Features
  47. Focal and Efficient IOU Loss for Accurate Bounding Box Regression
  48. Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation
  49. Fooling thermal infrared pedestrian detectors in real world using small bulbs
  50. Shielding Atari Games with Bounded Prescience
  51. Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
  52. Zero-Cost Proxies for Lightweight NAS
  53. Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
  54. Self-supervised pre-training enhances change detection in Sentinel-2 imagery
  55. Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?
  56. A Generalized Weisfeiler-Lehman Graph Kernel
  57. Automatic Differentiation via Effects and Handlers: An Implementation in Frank
  58. A survey of joint intent detection and slot-filling models in natural language understanding
  59. The Challenges of Persian User-generated Textual Content: A Machine Learning-Based Approach
  60. Few-shot Action Recognition with Prototype-centered Attentive Learning
  61. Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning
  62. Component Tree Loss Function: Definition and Optimization
  63. A Similarity Measure of Gaussian Process Predictive Distributions
  64. Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs
  65. Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells
  66. 1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking
  67. Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details
  68. Bias in ontologies -- a preliminary assessment
  69. Riemannian Manifold Optimization for Discriminant Subspace Learning
  70. Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
  71. Scalable Deep Compressive Sensing
  72. NEMR: Network Embedding on Metric of Relation
  73. Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization
  74. Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
  75. On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder
  76. UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
  77. Macroscopic Control of Text Generation for Image Captioning
  78. Data-driven sparse polynomial chaos expansion for models with dependent inputs
  79. SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
  80. FedNS: Improving Federated Learning for collaborative image classification on mobile clients
  81. Semi-supervised Keypoint Localization
  82. Network Pruning using Adaptive Exemplar Filters
  83. Cell image segmentation by Feature Random Enhancement Module
  84. Semantics Disentangling for Generalized Zero-Shot Learning
  85. Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring
  86. TCLR: Temporal Contrastive Learning for Video Representation
  87. Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi
  88. Robust W-GAN-Based Estimation Under Wasserstein Contamination
  89. DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
  90. Directed Acyclic Graph Neural Networks
  91. HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
  92. Class balanced underwater object detection dataset generated by class-wise style augmentation
  93. Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions
  94. PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses
  95. Convolutional conditional neural processes for local climate downscaling
  96. SparseDNN: Fast Sparse Deep Learning Inference on CPUs
  97. WeChat AI & ICT's Submission for DSTC9 Interactive Dialogue Evaluation Track
  98. Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
  99. Towards Confident Machine Reading Comprehension
  100. Noise Learning Based Denoising Autoencoder
All 109
  1. Quarter Laplacian Filter for Edge Aware Image Processing
  2. Online Active Proposal Set Generation for Weakly Supervised Object Detection
  3. A Discrete Scheme for Computing Image's Weighted Gaussian Curvature
  4. Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China
  5. LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
  6. PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer
  7. Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data
  8. IntentNet: Learning to Predict Intention from Raw Sensor Data
  9. Feature Sharing Cooperative Network for Semantic Segmentation