mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 16 Apr 2022

88 papers

  1. Assessing Differentially Private Variational Autoencoders under Membership InferenceLLM safety and security → Membership inference attacks
  2. Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional ProbesLLM reasoning → Knowledge- and tool-augmented reasoning
  3. Sparsely Activated Mixture-of-Experts are Robust Multi-Task LearnersMixture-of-experts → Mixture of LoRA experts
  4. Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE
  5. A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
  6. Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion
  7. WordAlchemy: A transformer-based Reverse Dictionary
  8. Probing Script Knowledge from Pre-Trained Models
  9. De-biasing facial detection system using VAE
  10. Physics-Informed Bayesian Learning of Electrohydrodynamic Polymer Jet Printing Dynamics
  11. Hand Geometry Based Recognition with a MLP Classifier
  12. Face recognition with small and large size databases
  13. IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation
  14. Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography
  15. Mapping LiDAR and Camera Measurements in a Dual Top-View Grid Representation Tailored for Automated Vehicles
  16. Polynomial-time Sparse Measure Recovery: From Mean Field Theory to Algorithm Design
  17. 3D Human Pose Estimation for Free-from and Moving Activities Using WiFi
  18. Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
  19. Alternating Channel Estimation and Prediction for Cell-Free mMIMO with Channel Aging: A Deep Learning Based Scheme
  20. GHM Wavelet Transform for Deep Image Super Resolution
  21. Optimal Learning Rates for Regularized Least-Squares with a Fourier Capacity Condition
  22. Towards a Deeper Understanding of Skeleton-based Gait Recognition
  23. IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
  24. nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models
  25. COVIBOT: A Smart Chatbot for Assistance and E-Awareness during COVID-19 Pandemic
  26. Multi-organ Segmentation Network with Adversarial Performance Validator
  27. STRATA: Word Boundaries & Phoneme Recognition From Continuous Urdu Speech using Transfer Learning, Attention, & Data Augmentation
  28. Shape-guided Object Inpainting
  29. Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting
  30. A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment
  31. BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation
  32. What If: Generating Code to Answer Simulation Questions
  33. Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and Understanding
  34. Optimizing differential equations to fit data and predict outcomes
  35. A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis
  36. Beyond L1: Faster and Better Sparse Models with skglm
  37. Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
  38. Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtration
  39. FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring
  40. A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data
  41. Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
  42. Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
  43. Logical Inference for Counting on Semi-structured Tables
  44. UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion
  45. Contrastive Learning with Hard Negative Entities for Entity Set Expansion
  46. Approaching sales forecasting using recurrent neural networks and transformers
  47. Towards Unification of Discourse Annotation Frameworks
  48. Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
  49. SimpleBERT: A Pre-trained Model That Learns to Generate Simple Words
  50. Exploiting Multiple EEG Data Domains with Adversarial Learning
  51. TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark
  52. FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning
  53. SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment
  54. UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue
  55. Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
  56. Biometric verification of humans by means of hand geometry
  57. UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio
  58. Language-Grounded Indoor 3D Semantic Segmentation in the Wild
  59. Cannikin's Law in Tensor Modeling: A Rank Study for Entanglement and Separability in Tensor Complexity and Model Capacity
  60. Visual Attention Methods in Deep Learning: An In-Depth Survey
  61. Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
  62. A Variational Approach to Bayesian Phylogenetic Inference
  63. Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models
  64. Tensor-networks for High-order Polynomial Approximation: A Many-body Physics Perspective
  65. DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup
  66. Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion
  67. GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation
  68. Efficient Linear Attention for Fast and Accurate Keypoint Matching
  69. Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
  70. Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning
  71. The Tree Loss: Improving Generalization with Many Classes
  72. A Hierarchical Terminal Recognition Approach based on Network Traffic Analysis
  73. Semantic interpretation for convolutional neural networks: What makes a cat a cat?
  74. Searching Intrinsic Dimensions of Vision Transformers
  75. TVShowGuess: Character Comprehension in Stories as Speaker Guessing
  76. Stress-Testing Point Cloud Registration on Automotive LiDAR
  77. Interactiveness Field in Human-Object Interactions
  78. FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression
  79. Pushing the Performance Limit of Scene Text Recognizer without Human Annotation
  80. GAUSS: Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness
  81. Privacy-Preserving Image Classification Using Isotropic Network
  82. Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
  83. TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction
  84. On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
  85. BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
  86. Theory of Graph Neural Networks: Representation and Learning
  87. Efficient Reinforcement Learning for Unsupervised Controlled Text Generation
  88. Safe Self-Refinement for Transformer-based Domain Adaptation