mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 23 Jul 2021

128 papers

  1. Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal ImagesMechanistic interpretability → Interpreting vision and multimodal models
  2. Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsOffline RL and imitation learning from data → Safe offline RL
  3. GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset
  4. Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network
  5. Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
  6. Sexing Caucasian 2D footprints using convolutional neural networks
  7. Continuous Non-Invasive Eye Tracking In Intensive Care
  8. Medical Literature Mining and Retrieval in a Conversational Setting
  9. Text Classification and Clustering with Annealing Soft Nearest Neighbor Loss
  10. ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
  11. Artificial Intelligence in Achieving Sustainable Development Goals
  12. Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
  13. Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
  14. Early Diagnosis of Lung Cancer Using Computer Aided Detection via Lung Segmentation Approach
  15. Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study
  16. A Simple Approach to Automated Spectral Clustering
  17. Similarity Based Label Smoothing For Dialogue Generation
  18. Plinko: Eliciting beliefs to build better models of statistical learning and mental model updating
  19. Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
  20. Multi-Echo LiDAR for 3D Object Detection
  21. Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
  22. Automatic Detection Of Noise Events at Shooting Range Using Machine Learning
  23. Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
  24. Self-Correcting Neural Networks For Safe Classification
  25. Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
  26. Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation
  27. Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
  28. HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis
  29. A general sample complexity analysis of vanilla policy gradient
  30. Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
  31. Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
  32. Brazilian Portuguese Speech Recognition Using Wav2vec 2.0
  33. An Instance-Dependent Simulation Framework for Learning with Label Noise
  34. Using Deep Learning Techniques and Inferential Speech Statistics for AI Synthesised Speech Recognition
  35. Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks
  36. TargetNet: Functional microRNA Target Prediction with Deep Neural Networks
  37. Optimum Risk Portfolio and Eigen Portfolio: A Comparative Analysis Using Selected Stocks from the Indian Stock Market
  38. Rethinking Hard-Parameter Sharing in Multi-Domain Learning
  39. Joint Shapley values: a measure of joint feature importance
  40. Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
  41. Modelling Latent Translations for Cross-Lingual Transfer
  42. Powering Effective Climate Communication with a Climate Knowledge Base
  43. Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
  44. Robust Adaptive Submodular Maximization
  45. Structack: Structure-based Adversarial Attacks on Graph Neural Networks
  46. Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery
  47. Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
  48. Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
  49. Provident Vehicle Detection at Night for Advanced Driver Assistance Systems
  50. SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
  51. Human Pose Regression with Residual Log-likelihood Estimation
  52. Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
  53. Machine Learning with a Reject Option: A survey
  54. A Differentiable Language Model Adversarial Attack on Text Classifiers
  55. Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
  56. Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
  57. Image-to-Image Translation with Low Resolution Conditioning
  58. State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics
  59. Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
  60. Multi-Channel Automatic Music Transcription Using Tensor Algebra
  61. Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
  62. An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN
  63. Exploring Deep Registration Latent Spaces
  64. Optimization on manifolds: A symplectic approach
  65. Taxonomizing local versus global structure in neural network loss landscapes
  66. Wavelet Design in a Learning Framework
  67. A3GC-IP: Attention-Oriented Adjacency Adaptive Recurrent Graph Convolutions for Human Pose Estimation from Sparse Inertial Measurements
  68. Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
  69. Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
  70. Bias Loss for Mobile Neural Networks
  71. Dynamic detection of mobile malware using smartphone data and machine learning
  72. Modeling Bilingual Conversational Characteristics for Neural Chat Translation
  73. Learning Discriminative Representations for Multi-Label Image Recognition
  74. Training a neural network with exciton-polariton optical nonlinearity
  75. Constellation: Learning relational abstractions over objects for compositional imagination
  76. User Preferences and the Shortest Path
  77. High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
  78. Cardiac CT segmentation based on distance regularized level set
  79. A comparison of combined data assimilation and machine learning methods for offline and online model error correction
  80. OLR 2021 Challenge: Datasets, Rules and Baselines
  81. Introducing: DeepHead, Wide-band Electromagnetic Imaging Paradigm
  82. Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability
  83. RGB Image Classification with Quantum Convolutional Ansaetze
  84. Generative adversarial networks in time series: A survey and taxonomy
  85. Improving Early Sepsis Prediction with Multi Modal Learning
  86. Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation
  87. Data-driven deep density estimation
  88. HURRA! Human readable router anomaly detection
  89. Reservoir Computing Approach for Gray Images Segmentation
  90. Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition
  91. LocalGLMnet: interpretable deep learning for tabular data
  92. Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift
  93. Transporting Causal Mechanisms for Unsupervised Domain Adaptation
  94. An Adaptive State Aggregation Algorithm for Markov Decision Processes
  95. Unsupervised Domain Adaptation for Video Semantic Segmentation
  96. MCDAL: Maximum Classifier Discrepancy for Active Learning
  97. Unrealistic Feature Suppression for Generative Adversarial Networks
  98. Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
  99. Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring
  100. Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments
All 128
  1. Deep Learning Based Reconstruction of Total Solar Irradiance
  2. RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
  3. 3D Radar Velocity Maps for Uncertain Dynamic Environments
  4. WaveFill: A Wavelet-based Generation Network for Image Inpainting
  5. A Deep Signed Directional Distance Function for Object Shape Representation
  6. AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
  7. Emotion analysis and detection during COVID-19
  8. Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark
  9. Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
  10. VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
  11. 3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image
  12. SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
  13. Dynamic Proximal Unrolling Network for Compressive Imaging
  14. Domain Adaptive Video Segmentation via Temporal Consistency Regularization
  15. Photon-Starved Scene Inference using Single Photon Cameras
  16. Pruning Ternary Quantization
  17. Resource Efficient Mountainous Skyline Extraction using Shallow Learning
  18. Communication Efficiency in Federated Learning: Achievements and Challenges
  19. A novel meta-learning initialization method for physics-informed neural networks
  20. Detail Preserving Residual Feature Pyramid Modules for Optical Flow
  21. Estimating Predictive Uncertainty Under Program Data Distribution Shift
  22. Human Pose Transfer with Augmented Disentangled Feature Consistency
  23. Score-Based Point Cloud Denoising
  24. Adaptively Weighted Top-N Recommendation for Organ Matching
  25. The decomposition of the higher-order homology embedding constructed from the k-Laplacian
  26. Learning Quadruped Locomotion Policies using Logical Rules
  27. Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
  28. Implicit Rate-Constrained Optimization of Non-decomposable Objectives