mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 5 Jan 2022

112 papers

  1. Does Entity Abstraction Help Generative Transformers Reason?LLM reasoning → Reasoning benchmarks and evaluation
  2. Conditional Imitation Learning for Multi-Agent GamesOffline RL and imitation learning from data → Imitation learning methods
  3. Auto-ABSA: Cross-Domain Aspect Detection and Sentiment Analysis Using Auxiliary Sentences
  4. RabindraNet, Creating Literary Works in the Style of Rabindranath Tagore
  5. Comprehensive Efficiency Analysis of Machine Learning Algorithms for Developing Hardware-Based Cybersecurity Countermeasures
  6. Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
  7. Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising
  8. BITES: Balanced Individual Treatment Effect for Survival data
  9. Posture Prediction for Healthy Sitting using a Smart Chair
  10. The E-Intelligence System
  11. Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
  12. Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
  13. GLAN: A Graph-based Linear Assignment Network
  14. Deep Fusion of Lead-lag Graphs: Application to Cryptocurrencies
  15. NeuralMLS: Geometry-Aware Control Point Deformation
  16. CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
  17. Towards realistic symmetry-based completion of previously unseen point clouds
  18. Multi-Grid Redundant Bounding Box Annotation for Accurate Object Detection
  19. Mixture of basis for interpretable continual learning with distribution shifts
  20. On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
  21. Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
  22. Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling
  23. Frame Shift Prediction
  24. A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
  25. Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images
  26. POCO: Point Convolution for Surface Reconstruction
  27. Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning
  28. Learning Semantic Ambiguities for Zero-Shot Learning
  29. A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification
  30. Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models
  31. Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria
  32. An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
  33. CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation
  34. Privacy-Friendly Peer-to-Peer Energy Trading: A Game Theoretical Approach
  35. Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
  36. KUDO Interpreter Assist: Automated Real-time Support for Remote Interpretation
  37. Spectral Clustering with Variance Information for Group Structure Estimation in Panel Data
  38. Automated Scoring of Graphical Open-Ended Responses Using Artificial Neural Networks
  39. Quantum Capsule Networks
  40. Neural Architecture Search for Inversion
  41. Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning
  42. NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
  43. Robust Self-Supervised Audio-Visual Speech Recognition
  44. Multi-Robot Collaborative Perception with Graph Neural Networks
  45. Real-time Interface Control with Motion Gesture Recognition based on Non-contact Capacitive Sensing
  46. Semi-automatic WordNet Linking using Word Embeddings
  47. Atomized Search Length: Beyond User Models
  48. Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective
  49. The intersection probability: betting with probability intervals
  50. The Effect of Model Compression on Fairness in Facial Expression Recognition
  51. Multi Document Reading Comprehension
  52. Probing TryOnGAN
  53. Some Strategies to Capture Karaka-Yogyata with Special Reference to apadana
  54. An Investigation of "Benford's" Law Divergence and Machine Learning Techniques for "Intra-Class" Separability of Fingerprint Images
  55. Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History
  56. Asymptotics of ℓ2 Regularized Network Embeddings
  57. Dynamic GPU Energy Optimization for Machine Learning Training Workloads
  58. Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis
  59. Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems
  60. Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough
  61. Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  62. Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems
  63. Systematic assessment of the quality of fit of the stochastic block model for empirical networks
  64. TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
  65. Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates
  66. Comparison of biomedical relationship extraction methods and models for knowledge graph creation
  67. Machine-Learning the Classification of Spacetimes
  68. Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation
  69. Adaptive Online Incremental Learning for Evolving Data Streams
  70. SMDT: Selective Memory-Augmented Neural Document Translation
  71. Bridging Adversarial and Nonstationary Multi-armed Bandit
  72. ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints
  73. Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention
  74. All You Need In Sign Language Production
  75. Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques
  76. Deep Probabilistic Graph Matching
  77. FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
  78. Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning
  79. Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation
  80. Learning True Rate-Distortion-Optimization for End-To-End Image Compression
  81. Culture-to-Culture Image Translation and User Evaluation
  82. Monitoring Energy Trends through Automatic Information Extraction
  83. Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform
  84. Inverse Extended Kalman Filter -- Part I: Fundamentals
  85. Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
  86. Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks
  87. Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering
  88. Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
  89. Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones
  90. FAVER: Blind Quality Prediction of Variable Frame Rate Videos
  91. Debiased Learning from Naturally Imbalanced Pseudo-Labels
  92. Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
  93. Sign Language Recognition System using TensorFlow Object Detection API
  94. Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence
  95. Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution
  96. Robust photon-efficient imaging using a pixel-wise residual shrinkage network
  97. Offsetting Unequal Competition through RL-assisted Incentive Schemes
  98. Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia
  99. Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
  100. Balsa: Learning a Query Optimizer Without Expert Demonstrations
All 112
  1. Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation
  2. Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
  3. Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
  4. Latent Vector Expansion using Autoencoder for Anomaly Detection
  5. Problem-dependent attention and effort in neural networks with applications to image resolution and model selection
  6. Towards Similarity-Aware Time-Series Classification
  7. Synthesizer Based Efficient Self-Attention for Vision Tasks
  8. Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness
  9. Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization
  10. Mining Adverse Drug Reactions from Unstructured Mediums at Scale
  11. Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness
  12. Self-Supervised Approach to Addressing Zero-Shot Learning Problem