mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 24 Oct 2021

86 papers

  1. X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task DistillationKnowledge distillation → Detection and dense prediction distillation
  2. False Correlation Reduction for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  3. A Differentiable Newton-Euler Algorithm for Real-World RoboticsOffline RL and imitation learning from data → Imitation learning methods
  4. Adaptive Multimodal and Multisensory Empathic Technologies for Enhanced Human Communication
  5. Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks
  6. A deep learning based surrogate model for stochastic simulators
  7. Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
  8. Contrastive Neural Processes for Self-Supervised Learning
  9. DAG Card is the new Model Card
  10. Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches
  11. hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
  12. Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
  13. Understanding the Impact of UGC Specificities on Translation Quality
  14. Online estimation and control with optimal pathlength regret
  15. Understanding the World Through Action
  16. Partially Intervenable Causal Models
  17. Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech
  18. Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels
  19. Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures
  20. An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation
  21. Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision
  22. Learning convex regularizers satisfying the variational source condition for inverse problems
  23. GraspLook: a VR-based Telemanipulation System with R-CNN-driven Augmentation of Virtual Environment
  24. Post-Regularization Confidence Bands for Ordinary Differential Equations
  25. Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning
  26. A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images
  27. Detecting model drift using polynomial relations
  28. Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
  29. Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction
  30. A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis
  31. EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
  32. Scaling Neural Program Synthesis with Distribution-based Search
  33. Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance
  34. Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization
  35. Exploring Gradient Flow Based Saliency for DNN Model Compression
  36. Robustness via Uncertainty-aware Cycle Consistency
  37. Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
  38. Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
  39. De Novo Molecular Generation with Stacked Adversarial Model
  40. Pandemic model with data-driven phase detection, a study using COVID-19 data
  41. Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network
  42. WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions
  43. Image-Based CLIP-Guided Essence Transfer
  44. Kernelized Heterogeneous Risk Minimization
  45. NAS-FCOS: Efficient Search for Object Detection Architectures
  46. Sentence Punctuation for Collaborative Commentary Generation in Esports Live-Streaming
  47. A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
  48. Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead
  49. Learning to Estimate Without Bias
  50. A Dynamic Keypoints Selection Network for 6DoF Pose Estimation
  51. BINAS: Bilinear Interpretable Neural Architecture Search
  52. Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition
  53. Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems
  54. Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips
  55. Perceptual Consistency in Video Segmentation
  56. Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language
  57. Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
  58. Variational quantum algorithm for Gaussian discrete solitons and their boson sampling
  59. SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing
  60. Transliterating Kurdish texts in Latin into Persian-Arabic script
  61. Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention
  62. Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
  63. Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
  64. AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
  65. Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
  66. Conditional Generation of Periodic Signals with Fourier-Based Decoder
  67. CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
  68. Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
  69. A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
  70. Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
  71. DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator
  72. Integrated Conditional Estimation-Optimization
  73. Think about it! Improving defeasible reasoning by first modeling the question scenario
  74. Acceleration in Distributed Optimization under Similarity
  75. A Broader Picture of Random-walk Based Graph Embedding
  76. Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability
  77. Distributed neural encoding of binding to thematic roles
  78. Scalable knowledge base completion with superposition memories
  79. Quality Map Fusion for Adversarial Learning
  80. Chinese Traditional Poetry Generating System Based on Deep Learning
  81. SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
  82. A methodology for detection and localization of fruits in apples orchards from aerial images
  83. Improving Spectral Clustering Using Spectrum-Preserving Node Aggregation
  84. ADC: Adversarial attacks against object Detection that evade Context consistency checks
  85. CoVA: Context-aware Visual Attention for Webpage Information Extraction
  86. Non-Asymptotic Error Bounds for Bidirectional GANs