mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 18 Jun 2023

79 papers

  1. Enhanced Masked Image Modeling for Analysis of Dental Panoramic RadiographsKnowledge distillation → Distillation for medical imaging
  2. DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic ModelDiffusion models → Audio, speech and music
  3. Point-Cloud Completion with Pretrained Text-to-image Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  4. GenPose: Generative Category-level Object Pose Estimation via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  5. Comparison of Machine Learning Methods for Assigning Software Issues to Team Members
  6. Leveraging ChatGPT As Text Annotation Tool For Sentiment Analysis
  7. News Verifiers Showdown: A Comparative Performance Evaluation of ChatGPT 3.5, ChatGPT 4.0, Bing AI, and Bard in News Fact-Checking
  8. "You might think about slightly revising the title": identifying hedges in peer-tutoring interactions
  9. The Importance of Human-Labeled Data in the Era of LLMs
  10. Deceptive AI Ecosystems: The Case of ChatGPT
  11. Stock Price Prediction using Dynamic Neural Networks
  12. Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
  13. CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
  14. Referenceless User Controllable Semantic Image Synthesis
  15. Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)
  16. Evolving Strategies for Competitive Multi-Agent Search
  17. MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
  18. Meta-Learning for Airflow Simulations with Graph Neural Networks
  19. Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
  20. UniSG^GA: A 3D scenegraph powered by Geometric Algebra unifying geometry, behavior and GNNs towards generative AI
  21. Towards Stability of Autoregressive Neural Operators
  22. GPU-Accelerated Verification of Machine Learning Models for Power Systems
  23. Agnostically Learning Single-Index Models using Omnipredictors
  24. Identifiable causal inference with noisy treatment and no side information
  25. Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
  26. STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization
  27. Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
  28. DropCompute: simple and more robust distributed synchronous training via compute variance reduction
  29. Conditional expectation using compactification operators
  30. Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators
  31. Acceleration in Policy Optimization
  32. OpenDataVal: a Unified Benchmark for Data Valuation
  33. Score-based Data Assimilation
  34. MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
  35. Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
  36. Isabelle Formalisation of Original Representation Theorems
  37. Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness
  38. Can predictive models be used for causal inference?
  39. MARBLE: Music Audio Representation Benchmark for Universal Evaluation
  40. UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning
  41. Learn to Enhance the Negative Information in Convolutional Neural Network
  42. ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
  43. Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
  44. Gender Bias in Transformer Models: A comprehensive survey
  45. Dropout Regularization Versus ℓ2-Penalization in the Linear Model
  46. RetinexFlow for CT metal artifact reduction
  47. Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds
  48. Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification
  49. Position: AI Evaluation Should Learn from How We Test Humans
  50. Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
  51. Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources
  52. QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction
  53. Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
  54. Structure-Sensitive Graph Dictionary Embedding for Graph Classification
  55. Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
  56. Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
  57. MOSPC: MOS Prediction Based on Pairwise Comparison
  58. A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity
  59. Rapid Image Labeling via Neuro-Symbolic Learning
  60. On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization
  61. Balanced Energy Regularization Loss for Out-of-distribution Detection
  62. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
  63. Weighted structure tensor total variation for image denoising
  64. IF2Net: Innately Forgetting-Free Networks for Continual Learning
  65. A Universal Semantic-Geometric Representation for Robotic Manipulation
  66. 2D-Shapley: A Framework for Fragmented Data Valuation
  67. Transferring Neural Potentials For High Order Dependency Parsing
  68. Stabilizing GANs' Training with Brownian Motion Controller
  69. Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
  70. GAN-based Image Compression with Improved RDO Process
  71. Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
  72. Weakly Supervised Regression with Interval Targets
  73. Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
  74. Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
  75. MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
  76. Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge
  77. Globally Interpretable Graph Learning via Distribution Matching
  78. Universal Information Extraction with Meta-Pretrained Self-Retrieval
  79. Convolutional GRU Network for Seasonal Prediction of the El Ni~no-Southern Oscillation