mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 14 Aug 2021

63 papers

  1. A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot SegmentationKnowledge distillation → Detection and dense prediction distillation
  2. Fractional Transfer Learning for Deep Model-Based Reinforcement LearningWorld models → Latent dynamics models and model-based RL
  3. High-dimensional Assisted Generative Model for Color Image RestorationDiffusion models → Inverse problems and image restoration
  4. Study of Proximal Normalized Subband Adaptive Algorithm for Acoustic Echo Cancellation
  5. TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis
  6. SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
  7. FOX-NAS: Fast, On-device and Explainable Neural Architecture Search
  8. LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling
  9. Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks
  10. A Survey on GAN Acceleration Using Memory Compression Technique
  11. Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
  12. Equity-Directed Bootstrapping: Examples and Analysis
  13. A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
  14. Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
  15. B-Splines
  16. Monocular visual autonomous landing system for quadcopter drones using software in the loop
  17. The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
  18. Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions
  19. Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
  20. Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking
  21. Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
  22. Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
  23. Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models
  24. A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning
  25. Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation
  26. Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
  27. Refractive Geometry for Underwater Domes
  28. The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations
  29. Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
  30. Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
  31. PICCOLO: Point Cloud-Centric Omnidirectional Localization
  32. MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
  33. Feature Identification and Matching for Hand Hygiene Pose
  34. Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
  35. Neuron Campaign for Initialization Guided by Information Bottleneck Theory
  36. Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
  37. Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
  38. Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI
  39. Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
  40. Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
  41. LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
  42. Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems
  43. Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification
  44. Collaborative Unsupervised Visual Representation Learning from Decentralized Data
  45. DQN Control Solution for KDD Cup 2021 City Brain Challenge
  46. DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans
  47. Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study
  48. Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
  49. MatSat: a matrix-based differentiable SAT solver
  50. Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
  51. Optimal Approximation with Sparse Neural Networks and Applications
  52. Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images
  53. Cross-Modal Graph with Meta Concepts for Video Captioning
  54. PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
  55. Efficient Federated Meta-Learning over Multi-Access Wireless Networks
  56. AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
  57. A fast asynchronous MCMC sampler for sparse Bayesian inference
  58. A New Entity Extraction Method Based on Machine Reading Comprehension
  59. Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
  60. Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
  61. Soccer line mark segmentation and classification with stochastic watershed transform
  62. Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes
  63. Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations