mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 18 Feb 2023

86 papers

  1. RobustNLP: A Technique to Defend NLP Models Against Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
  2. When Visible-to-Thermal Facial GAN Beats Conditional DiffusionDiffusion models → Image generation, text-to-image and editing
  3. Modelos Generativos basados en Mecanismos de Difusi'onDiffusion models → Diffusion foundations and sampling
  4. Backdoor Attacks to Pre-trained Unified Foundation ModelsLLM safety and security → Backdoor and data poisoning attacks
  5. One-Pot Multi-Frame Denoising
  6. Bayesian Matrix Decomposition and Applications
  7. VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization
  8. Search for universal minimum drag resistance underwater vehicle hull using CFD
  9. Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits
  10. The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models
  11. BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark
  12. NU-AIR -- A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles
  13. A Neurodiversity-Inspired Solver for the Abstraction & Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis
  14. Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation
  15. Neural Attention Memory
  16. A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
  17. M-SENSE: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations
  18. MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
  19. LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy
  20. Best of Both Worlds Policy Optimization
  21. MorphGANFormer: Transformer-based Face Morphing and De-Morphing
  22. Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning
  23. Deep Neural Networks based Meta-Learning for Network Intrusion Detection
  24. Vulnerability analysis of captcha using Deep learning
  25. Speaker and Language Change Detection using Wav2vec2 and Whisper
  26. Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)
  27. Why is parameter averaging beneficial in SGD? An objective smoothing perspective
  28. Calibrating the Rigged Lottery: Making All Tickets Reliable
  29. Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
  30. Hyneter: Hybrid Network Transformer for Object Detection
  31. Autocodificadores Variacionales (VAE) Fundamentos Te'oricos y Aplicaciones
  32. Towards Radar Emitter Recognition in Changing Environments with Domain Generalization
  33. Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
  34. MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
  35. BERT is not The Count: Learning to Match Mathematical Statements with Proofs
  36. Closed-Loop Transcription via Convolutional Sparse Coding
  37. Redes Generativas Adversarias (GAN) Fundamentos Te'oricos y Aplicaciones
  38. Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
  39. Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
  40. Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
  41. Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
  42. Front-End Adapter: Adapting Front-End Input of Speech based Self-Supervised Learning for Speech Recognition
  43. Transformadores: Fundamentos teoricos y Aplicaciones
  44. An Adaptive Plug-and-Play Network for Few-Shot Learning
  45. Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
  46. Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data
  47. Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine
  48. MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies
  49. Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
  50. Reproducing Random Forest Efficacy in Detecting Port Scanning
  51. Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
  52. On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge
  53. StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
  54. Improving Fairness in Adaptive Social Exergames via Shapley Bandits
  55. FrAug: Frequency Domain Augmentation for Time Series Forecasting
  56. Data Augmentation for Imbalanced Regression
  57. Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help
  58. Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis
  59. Structural Neural Additive Models: Enhanced Interpretable Machine Learning
  60. Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
  61. Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements
  62. Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE
  63. Stochastic Approximation Approaches to Group Distributionally Robust Optimization and Beyond
  64. Multistage Spatial Context Models for Learned Image Compression
  65. Attribute-Specific Manipulation Based on Layer-Wise Channels
  66. StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization
  67. Machine Love
  68. Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction
  69. A Federated Approach for Hate Speech Detection
  70. KLIF: An optimized spiking neuron unit for tuning surrogate gradient slope and membrane potential
  71. Scalable Prompt Generation for Semi-supervised Learning with Language Models
  72. Generalization and Stability of Interpolating Neural Networks with Minimal Width
  73. VLN-Trans: Translator for the Vision and Language Navigation Agent
  74. Web Photo Source Identification based on Neural Enhanced Camera Fingerprint
  75. Invertible Neural Skinning
  76. OMINACS: Online ML-Based IoT Network Attack Detection and Classification System
  77. Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge
  78. Domain Agnostic Pipeline for Retina Vessel Segmentation
  79. Cost-effective Models for Detecting Depression from Speech
  80. HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
  81. How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
  82. Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering
  83. RETVec: Resilient and Efficient Text Vectorizer
  84. Approximate Thompson Sampling via Epistemic Neural Networks
  85. Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
  86. Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least