mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 10 Jul 2022

64 papers

  1. State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized IntersectionsEnd-to-end autonomous driving → Reinforcement learning for driving
  2. Continual Few-Shot Learning with Adversarial Class Storage
  3. Detecting People Interested in Non-Suicidal Self-Injury on Social Media
  4. Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology
  5. Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction
  6. 1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge 2022
  7. On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
  8. FedSS: Federated Learning with Smart Selection of clients
  9. A Probabilistic Model Of Interaction Dynamics for Dyadic Face-to-Face Settings
  10. Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning
  11. Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
  12. Mechanisms that Incentivize Data Sharing in Federated Learning
  13. Depth Perspective-aware Multiple Object Tracking
  14. Learning to Order for Inventory Systems with Lost Sales and Uncertain Supplies
  15. FairDistillation: Mitigating Stereotyping in Language Models
  16. Challenging Common Assumptions about Catastrophic Forgetting
  17. Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning
  18. Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction
  19. Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion
  20. An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation
  21. Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
  22. Facilitated machine learning for image-based fruit quality assessment
  23. Local Area Routes for Vehicle Routing Problems
  24. Developing an AI-enabled IIoT platform -- Lessons learned from early use case validation
  25. Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey
  26. Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies
  27. FIB: A Method for Evaluation of Feature Impact Balance in Multi-Dimensional Data
  28. One-shot Neural Backdoor Erasing via Adversarial Weight Masking
  29. A Forward Propagation Algorithm for Online Optimization of Nonlinear Stochastic Differential Equations
  30. Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox
  31. DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
  32. Automatic differentiation and the optimization of differential equation models in biology
  33. Scaling up ML-based Black-box Planning with Partial STRIPS Models
  34. Myers-Briggs personality classification from social media text using pre-trained language models
  35. Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation
  36. Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation
  37. Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics
  38. Progressively-connected Light Field Network for Efficient View Synthesis
  39. TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response
  40. Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP
  41. NGAME: Negative Mining-aware Mini-batching for Extreme Classification
  42. Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
  43. Human-Centric Research for NLP: Towards a Definition and Guiding Questions
  44. SRRT: Exploring Search Region Regulation for Visual Object Tracking
  45. Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication
  46. Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates
  47. LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
  48. Dual-Correction Adaptation Network for Noisy Knowledge Transfer
  49. SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow
  50. CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition
  51. Self-attention on Multi-Shifted Windows for Scene Segmentation
  52. Horizontal and Vertical Attention in Transformers
  53. Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
  54. 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
  55. Graph Generative Model for Benchmarking Graph Neural Networks
  56. Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays
  57. Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
  58. Faster Privacy Accounting via Evolving Discretization
  59. Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions
  60. On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
  61. Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition
  62. Sequential Manipulation Planning on Scene Graph
  63. A Comparative Study of Self-supervised Speech Representation Based Voice Conversion
  64. An Introduction to Lifelong Supervised Learning