mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 14 Jan 2021

104 papers

  1. Instance-Aware Predictive Navigation in Multi-Agent EnvironmentsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  2. Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation
  3. An Explainable CNN Approach for Medical Codes Prediction from Clinical Text
  4. TSQA: Tabular Scenario Based Question Answering
  5. Adversarial Machine Learning in Text Analysis and Generation
  6. Training Learned Optimizers with Randomly Initialized Learned Optimizers
  7. A Tensor-Based Formulation of Hetero-functional Graph Theory
  8. Needmining: Designing Digital Support to Elicit Needs from Social Media
  9. Supervised Transfer Learning at Scale for Medical Imaging
  10. A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS
  11. A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data
  12. Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
  13. Auto-weighted Robust Federated Learning with Corrupted Data Sources
  14. Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media
  15. Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features
  16. Preserving Privacy in Personalized Models for Distributed Mobile Services
  17. Algorithmic Monoculture and Social Welfare
  18. A Subjective Model of Human Decision Making Based on Quantum Decision Theory
  19. Continual Learning of Knowledge Graph Embeddings
  20. Unveiling the role of plasticity rules in reservoir computing
  21. How Shift Equivariance Impacts Metric Learning for Instance Segmentation
  22. Scaling the Convex Barrier with Sparse Dual Algorithms
  23. Lecture notes on high-dimensional data
  24. A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools
  25. Physics-aware, probabilistic model order reduction with guaranteed stability
  26. Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation
  27. Materials Fingerprinting Classification
  28. Exploration of Visual Features and their weighted-additive fusion for Video Captioning
  29. DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  30. A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines
  31. U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
  32. Persuasive Natural Language Generation -- A Literature Review
  33. Persistent Anti-Muslim Bias in Large Language Models
  34. Time-Based CAN Intrusion Detection Benchmark
  35. Structured Prediction as Translation between Augmented Natural Languages
  36. Topological Deep Learning
  37. O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection
  38. Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
  39. Stereo camera system calibration: the need of two sets of parameters
  40. Automating Gamification Personalization: To the User and Beyond
  41. SICKNL: A Dataset for Dutch Natural Language Inference
  42. TUDublin team at Constraint@AAAI2021 -- COVID19 Fake News Detection
  43. Spillover Algorithm: A Decentralized Coordination Approach for Multi-Robot Production Planning in Open Shared Factories
  44. Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
  45. Generating coherent spontaneous speech and gesture from text
  46. AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
  47. Convex Smoothed Autoencoder-Optimal Transport model
  48. Analysis of hidden feedback loops in continuous machine learning systems
  49. The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
  50. A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery
  51. No-go Theorem for Acceleration in the Hyperbolic Plane
  52. On Informative Tweet Identification For Tracking Mass Events
  53. A Nature-Inspired Feature Selection Approach based on Hypercomplex Information
  54. Rescaling CNN through Learnable Repetition of Network Parameters
  55. Malicious Code Detection: Run Trace Output Analysis by LSTM
  56. Better Together -- An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems
  57. Road Surface Translation Under Snow-covered and Semantic Segmentation for Snow Hazard Index
  58. On the Temporality of Priors in Entity Linking
  59. TypeNet: Deep Learning Keystroke Biometrics
  60. FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
  61. Non-intrusive Surrogate Modeling for Parametrized Time-dependent PDEs using Convolutional Autoencoders
  62. Feature reduction for machine learning on molecular features: The GeneScore
  63. DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
  64. Optimal Energy Shaping via Neural Approximators
  65. Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
  66. An evaluation of word-level confidence estimation for end-to-end automatic speech recognition
  67. BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
  68. Entangled Kernels -- Beyond Separability
  69. Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
  70. Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection
  71. Evaluating the Robustness of Collaborative Agents
  72. Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning
  73. Joint Dimensionality Reduction for Separable Embedding Estimation
  74. ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
  75. Hostility Detection in Hindi leveraging Pre-Trained Language Models
  76. Neural networks behave as hash encoders: An empirical study
  77. Label Contrastive Coding based Graph Neural Network for Graph Classification
  78. 4D Attention-based Neural Network for EEG Emotion Recognition
  79. Understanding the Role of Scene Graphs in Visual Question Answering
  80. WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm
  81. Optimal network online change point localisation
  82. Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
  83. OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation
  84. Text Augmentation in a Multi-Task View
  85. Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
  86. A Multiple Classifier Approach for Concatenate-Designed Neural Networks
  87. Self-Supervised Learning for Segmentation
  88. On the quantization of recurrent neural networks
  89. Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
  90. Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
  91. Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
  92. A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation
  93. Federated Learning: Opportunities and Challenges
  94. DAIL: Dataset-Aware and Invariant Learning for Face Recognition
  95. Enclosing the Sliding Surfaces of a Controlled Swing
  96. Analysis of E-commerce Ranking Signals via Signal Temporal Logic
  97. A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis
  98. Training Data Leakage Analysis in Language Models
  99. Machine-learning enhanced dark soliton detection in Bose-Einstein condensates
  100. Image deblurring based on lightweight multi-information fusion network
All 104
  1. Optimal Clustering in Anisotropic Gaussian Mixture Models
  2. Machine-Assisted Script Curation
  3. Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives
  4. GAN Inversion: A Survey