mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 20 Feb 2021

87 papers

  1. Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identificationKnowledge distillation → General knowledge distillation methods
  2. Imitation Learning for Variable Speed Contact Motion for Operation up to Control BandwidthOffline RL and imitation learning from data → Robot manipulation imitation learning
  3. Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks
  4. Augmenting High-dimensional Nonlinear Optimization with Conditional GANs
  5. Info-Evo: Using Information Geometry to Guide Evolutionary Program Learning
  6. Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
  7. Knowledge-Base Enriched Word Embeddings for Biomedical Domain
  8. PySensors: A Python Package for Sparse Sensor Placement
  9. FM2: Field-matrixed Factorization Machines for Recommender Systems
  10. Predicting times of waiting on red signals using BERT
  11. Evolving Attention with Residual Convolutions
  12. A Comprehensive Review on the NILM Algorithms for Energy Disaggregation
  13. Knowledge engineering mixed-integer linear programming: constraint typology
  14. Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
  15. Learning Neural Network Subspaces
  16. BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
  17. Trumpets: Injective Flows for Inference and Inverse Problems
  18. Efficient Tomography of Non-Interacting Fermion States
  19. Decaying Clipping Range in Proximal Policy Optimization
  20. On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
  21. Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment
  22. Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
  23. Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
  24. Retrain or not retrain: Conformal test martingales for change-point detection
  25. Unsupervised Medical Image Alignment with Curriculum Learning
  26. Understanding and Enhancing the Use of Context for Machine Translation
  27. MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks
  28. GIST: Distributed Training for Large-Scale Graph Convolutional Networks
  29. An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
  30. NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
  31. VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning
  32. GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
  33. On Calibration and Out-of-domain Generalization
  34. Towards Teachable Conversational Agents
  35. Self-Supervised Learning via multi-Transformation Classification for Action Recognition
  36. CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
  37. The Use of Voice Source Features for Sung Speech Recognition
  38. EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks
  39. WaNet -- Imperceptible Warping-based Backdoor Attack
  40. Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
  41. Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
  42. Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
  43. How To Train Your HERON
  44. Everything is Relative: Understanding Fairness with Optimal Transport
  45. Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
  46. Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals
  47. Measuring the Transferability of ℓ_∞ Attacks by the ℓ2 Norm
  48. On a notion of independence proposed by Teddy Seidenfeld
  49. SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks
  50. Physical Reasoning Using Dynamics-Aware Models
  51. Provably Strict Generalisation Benefit for Equivariant Models
  52. Decoupling Value and Policy for Generalization in Reinforcement Learning
  53. Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods
  54. Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
  55. Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks
  56. Learnable MFCCs for Speaker Verification
  57. Large-width functional asymptotics for deep Gaussian neural networks
  58. End-to-end neural network approach to 3D reservoir simulation and adaptation
  59. Towards Building A Group-based Unsupervised Representation Disentanglement Framework
  60. Towards Accurate and Compact Architectures via Neural Architecture Transformer
  61. Versatile and Robust Transient Stability Assessment via Instance Transfer Learning
  62. Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms
  63. Contextual Argument Component Classification for Class Discussions
  64. Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images
  65. Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients
  66. An Attention Ensemble Approach for Efficient Text Classification of Indian Languages
  67. Concealed Object Detection
  68. Meta-Learning Dynamics Forecasting Using Task Inference
  69. On Proximal Policy Optimization's Heavy-tailed Gradients
  70. Inducing a hierarchy for multi-class classification problems
  71. Link Prediction with Persistent Homology: An Interactive View
  72. nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series
  73. Multilingual Answer Sentence Reranking via Automatically Translated Data
  74. Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
  75. Game Mechanic Alignment Theory and Discovery
  76. CDA: a Cost Efficient Content-based Multilingual Web Document Aligner
  77. GMLight: Lighting Estimation via Geometric Distribution Approximation
  78. Machine Translation Customization via Automatic Training Data Selection from the Web
  79. Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
  80. Learning Neural Generative Dynamics for Molecular Conformation Generation
  81. Generalization bounds for graph convolutional neural networks via Rademacher complexity
  82. Elastic Similarity and Distance Measures for Multivariate Time Series
  83. On Single-User Interactive Beam Alignment in Next Generation Systems: A Deep Learning Viewpoint
  84. ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
  85. Logarithmic Regret in Feature-based Dynamic Pricing
  86. Hard-Attention for Scalable Image Classification
  87. When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System