mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 25 Aug 2022

132 papers

  1. FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated LearningLLM safety and security → Federated unlearning and poisoning
  2. MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image PretrainingKnowledge distillation → Multimodal distillation
  3. Masked Autoencoders Enable Efficient Knowledge DistillersKnowledge distillation → General knowledge distillation methods
  4. DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven GenerationDiffusion models → Image generation, text-to-image and editing
  5. Understanding Diffusion Models: A Unified PerspectiveDiffusion models → Diffusion foundations and sampling
  6. Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
  7. Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets
  8. Banknote Recognition for Visually Impaired People (Case of Ethiopian note)
  9. Deep Learning-based ECG Classification on Raspberry PI using a Tensorflow Lite Model based on PTB-XL Dataset
  10. Application of Convolutional Neural Networks with Quasi-Reversibility Method Results for Option Forecasting
  11. PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
  12. Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising
  13. Incrementality Bidding and Attribution
  14. Adaptively-weighted Integral Space for Fast Multiview Clustering
  15. Towards Federated Learning against Noisy Labels via Local Self-Regularization
  16. Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings
  17. Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning
  18. Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream
  19. ARRID: ANN-based Rotordynamics for Robust and Integrated Design
  20. A Two Step Approach for Whole Slide Image Registration
  21. Image augmentation improves few-shot classification performance in plant disease recognition
  22. A Compact Pretraining Approach for Neural Language Models
  23. Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes
  24. Lib-SibGMU -- A University Library Circulation Dataset for Recommender Systems Developmen
  25. Fundamentals of Task-Agnostic Data Valuation
  26. OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
  27. SNAP: Efficient Extraction of Private Properties with Poisoning
  28. Light-weight probing of unsupervised representations for Reinforcement Learning
  29. Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh
  30. Variance Reduction based Experience Replay for Policy Optimization
  31. Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion
  32. 2nd Place Solutions for UG2+ Challenge 2022 -- D3Net for Mitigating Atmospheric Turbulence from Images
  33. Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review
  34. DSR: Towards Drone Image Super-Resolution
  35. Multimedia Generative Script Learning for Task Planning
  36. A Deep Perceptual Measure for Lens and Camera Calibration
  37. Modelling the Recommender Alignment Problem
  38. DPAUC: Differentially Private AUC Computation in Federated Learning
  39. Neuro-Dynamic State Estimation for Networked Microgrids
  40. Adaptive Learning for Service Monitoring Data
  41. Learning Continuous Implicit Representation for Near-Periodic Patterns
  42. Decoding speech perception from non-invasive brain recordings
  43. Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding
  44. Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling
  45. A Gis Aided Approach for Geolocalizing an Unmanned Aerial System Using Deep Learning
  46. Supervised Contrastive Learning for Affect Modelling
  47. A survey, review, and future trends of skin lesion segmentation and classification
  48. Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm
  49. SONAR: Joint Architecture and System Optimization Search
  50. Sustaining Fairness via Incremental Learning
  51. Learning Relational Causal Models with Cycles through Relational Acyclification
  52. Contrastive Audio-Language Learning for Music
  53. Automating UAV Flight Readiness Approval using Goal-Directed Answer Set Programming
  54. Turning Mathematics Problems into Games: Reinforcement Learning and Gr"obner bases together solve Integer Feasibility Problems
  55. CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning
  56. JAXFit: Trust Region Method for Nonlinear Least-Squares Curve Fitting on the GPU
  57. Anytime-Lidar: Deadline-aware 3D Object Detection
  58. Compositional Active Inference II: Polynomial Dynamics. Approximate Inference Doctrines
  59. Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning
  60. Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification
  61. Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields
  62. Image Based Food Energy Estimation With Depth Domain Adaptation
  63. Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional Autoencoders
  64. A Feedforward Unitary Equivariant Neural Network
  65. A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation
  66. Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study
  67. A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks
  68. The ReprGesture entry to the GENEA Challenge 2022
  69. A Survey on Temporal Graph Representation Learning and Generative Modeling
  70. UAS Navigation in the Real World Using Visual Observation
  71. Towards Benchmarking Explainable Artificial Intelligence Methods
  72. A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method
  73. Generative Bayesian Inference with GANs
  74. Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields
  75. Training a T5 Using Lab-sized Resources
  76. A Study on Broadcast Networks for Music Genre Classification
  77. Calibrated Selective Classification
  78. Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks
  79. Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection
  80. Learning to regulate 3D head shape by removing occluding hair from in-the-wild images
  81. Assesment of material layers in building walls using GeoRadar
  82. Partial Matrix Completion
  83. Combating Mode Collapse in GANs via Manifold Entropy Estimation
  84. Efficient Truncated Linear Regression with Unknown Noise Variance
  85. Two-stage Fall Events Classification with Human Skeleton Data
  86. Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification
  87. A CNN-LSTM-based hybrid deep learning approach to detect sentiment polarities on Monkeypox tweets
  88. A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation
  89. Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings
  90. Learning to Prune Instances of Steiner Tree Problem in Graphs
  91. On Reality and the Limits of Language Data: Aligning LLMs with Human Norms
  92. On confidence intervals for precision matrices and the eigendecomposition of covariance matrices
  93. Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons
  94. Data Augmentation for Graph Data: Recent Advancements
  95. FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation
  96. Learning to Construct 3D Building Wireframes from 3D Line Clouds
  97. TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
  98. Efficient Adaptive Activation Rounding for Post-Training Quantization
  99. Rail break and derailment prediction using Probabilistic Graphical Modelling
  100. Domain-informed graph neural networks: a quantum chemistry case study
All 132
  1. Development of Sleep State Trend (SST), a bedside measure of neonatal sleep state fluctuations based on single EEG channels
  2. Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
  3. Historical/temporal necessities/possibilities, and a logical theory of them in branching time
  4. A logical theory for conditional weak ontic necessity based on context update
  5. Adaptive Perception Transformer for Temporal Action Localization
  6. Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models
  7. Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors
  8. Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data
  9. Credit card fraud detection - Classifier selection strategy
  10. Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis
  11. A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks
  12. Visualizing the Passage of Time with Video Temporal Pyramids
  13. A simplified convergence theory for Byzantine resilient stochastic gradient descent
  14. Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
  15. Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
  16. Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image Data
  17. Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2
  18. NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators
  19. Shortcut Learning of Large Language Models in Natural Language Understanding
  20. An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification
  21. High-Fidelity Image Inpainting with GAN Inversion
  22. On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations
  23. CNN-based Prediction of Network Robustness With Missing Edges
  24. Unbiased Multi-Modality Guidance for Image Inpainting
  25. A Perturbation Resistant Transformation and Classification System for Deep Neural Networks
  26. Learning Task Automata for Reinforcement Learning using Hidden Markov Models
  27. Polarimetric Inverse Rendering for Transparent Shapes Reconstruction
  28. Benchmarking Human Face Similarity Using Identical Twins
  29. Refine and Represent: Region-to-Object Representation Learning
  30. Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification
  31. Multiresolution Neural Networks for Imaging
  32. Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising