mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 12 Mar 2021

126 papers

  1. Cooperative Self-training of Machine Reading ComprehensionSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  2. A New Training Framework for Deep Neural NetworkKnowledge distillation → General knowledge distillation methods
  3. VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of ExpertsMixture-of-experts → Vision mixture-of-experts
  4. On the (In)Feasibility of Attribute Inference Attacks on Machine Learning ModelsLLM safety and security → Membership inference attacks
  5. SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features
  6. Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
  7. Closed-form geodesics and trust-region method to calculate Riemannian logarithms on Stiefel and its quotient manifolds
  8. Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
  9. Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
  10. Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech
  11. Predicting the Behavior of Dealers in Over-The-Counter Corporate Bond Markets
  12. System Component-Level Self-Adaptations for Security via Bayesian Games
  13. Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation
  14. A Review on Semi-Supervised Relation Extraction
  15. Mining Artifacts in Mycelium SEM Micrographs
  16. Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image
  17. Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
  18. Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation
  19. Causal Markov Boundaries
  20. A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training
  21. Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
  22. Meta-Modeling of Assembly Contingencies and Planning for Repair
  23. How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
  24. Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
  25. On Incorporating Forecasts into Linear State Space Model Markov Decision Processes
  26. Uncertainty-guided Model Generalization to Unseen Domains
  27. TensorGP -- Genetic Programming Engine in TensorFlow
  28. Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
  29. Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
  30. Beyond log2(T) Regret for Decentralized Bandits in Matching Markets
  31. FES: A Fast Efficient Scalable QoS Prediction Framework
  32. Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
  33. Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
  34. 3D Semantic Scene Completion: a Survey
  35. Probabilistic two-stage detection
  36. Towards Risk Modeling for Collaborative AI
  37. Multiview Sensing With Unknown Permutations: An Optimal Transport Approach
  38. EventGraD: Event-Triggered Communication in Parallel Machine Learning
  39. Machine Learning Assisted Orthonormal Basis Selection for Functional Data Analysis
  40. Efficient reconstruction of depth three circuits with top fan-in two
  41. Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations
  42. Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma
  43. Real-time Nonrigid Mosaicking of Laparoscopy Images
  44. Optimal sequential decision making with probabilistic digital twins
  45. Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
  46. A Neural Network for Semigroups
  47. Information Maximization Clustering via Multi-View Self-Labelling
  48. A Unified Game-Theoretic Interpretation of Adversarial Robustness
  49. PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
  50. Hippocampal formation-inspired probabilistic generative model
  51. Visual Cues and Error Correction for Translation Robustness
  52. Monocular Quasi-Dense 3D Object Tracking
  53. Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics
  54. Second-Order Component Analysis for Fault Detection
  55. Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking
  56. Automating the GDPR Compliance Assessment for Cross-border Personal Data Transfers in Android Applications
  57. Adversarial Graph Disentanglement
  58. Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
  59. Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  60. Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
  61. Learning Long-Term Style-Preserving Blind Video Temporal Consistency
  62. A Simple Post-Processing Technique for Improving Readability Assessment of Texts using Word Mover's Distance
  63. Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning
  64. Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case
  65. Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
  66. Explaining and Improving BERT Performance on Lexical Semantic Change Detection
  67. Deep Dual Consecutive Network for Human Pose Estimation
  68. Your most telling friends: Propagating latent ideological features on Twitter using neighborhood coherence
  69. Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks
  70. Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
  71. Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices
  72. Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies
  73. Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
  74. Sequential Random Network for Fine-grained Image Classification
  75. BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks
  76. Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
  77. Real-time Timbre Transfer and Sound Synthesis using DDSP
  78. In the light of feature distributions: moment matching for Neural Style Transfer
  79. Medical data wrangling with sequential variational autoencoders
  80. Urban Surface Reconstruction in SAR Tomography by Graph-Cuts
  81. Automatic Romanization of Arabic Bibliographic Records
  82. Latent Space Explorations of Singing Voice Synthesis using DDSP
  83. Are NLP Models really able to Solve Simple Math Word Problems?
  84. Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition
  85. Process Comparison Using Object-Centric Process Cubes
  86. Visualising Deep Network's Time-Series Representations
  87. Constrained Text Generation with Global Guidance -- Case Study on CommonGen
  88. Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models' Transferability
  89. Learnable Companding Quantization for Accurate Low-bit Neural Networks
  90. Explainable AI by BAPC -- Before and After correction Parameter Comparison
  91. Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
  92. Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
  93. Auction Based Clustered Federated Learning in Mobile Edge Computing System
  94. UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space
  95. Thousand to One: Semantic Prior Modeling for Conceptual Coding
  96. Learning spectro-temporal representations of complex sounds with parameterized neural networks
  97. Genetic algorithm for feature selection of EEG heterogeneous data
  98. Pairwise Symmetry Reasoning for Multi-Agent Path Finding Search
  99. Training Networks in Null Space of Feature Covariance for Continual Learning
  100. Explaining Network Intrusion Detection System Using Explainable AI Framework
All 126
  1. Inductive Relation Prediction by BERT
  2. A Weakly Supervised Approach for Classifying Stance in Twitter Replies
  3. PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching
  4. Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis
  5. iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging
  6. Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information
  7. DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
  8. Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
  9. Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
  10. DP-Image: Differential Privacy for Image Data in Feature Space
  11. Finding Subgroups with Significant Treatment Effects
  12. Advanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze
  13. Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
  14. Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus
  15. FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
  16. Improving Authorship Verification using Linguistic Divergence
  17. Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
  18. SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
  19. Asymptotic Theory of ℓ1-Regularized PDE Identification from a Single Noisy Trajectory
  20. Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation
  21. Max-Linear Regression by Convex Programming
  22. Interleaving Learning, with Application to Neural Architecture Search
  23. CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement
  24. On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
  25. Large Batch Simulation for Deep Reinforcement Learning
  26. Towards Socially Intelligent Agents with Mental State Transition and Human Utility