mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 24 Apr 2022

62 papers

  1. Learning Symmetric Embeddings for Equivariant World ModelsWorld models → Latent predictive world models
  2. One-Shot Domain-Adaptive Imitation Learning via Progressive LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  3. Twitter-Based Gender Recognition Using Transformers
  4. Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System
  5. Quantifying Health Inequalities Induced by Data and AI Models
  6. A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection
  7. Signal Recovery with Non-Expansive Generative Network Priors
  8. Predicting Sleeping Quality using Convolutional Neural Networks
  9. A Bayesian Approach To Graph Partitioning
  10. Empowering Next POI Recommendation with Multi-Relational Modeling
  11. Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging
  12. Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users
  13. Numerical Computation of Partial Differential Equations by Hidden-Layer Concatenated Extreme Learning Machine
  14. Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
  15. Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing
  16. Improving Deep Learning Model Robustness Against Adversarial Attack by Increasing the Network Capacity
  17. Hate Me Not: Detecting Hate Inducing Memes in Code Switched Languages
  18. Learning to Attack Powergrids with DERs
  19. An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
  20. Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distribution
  21. Deep Learning for Medical Image Registration: A Comprehensive Review
  22. Farmer's Assistant: A Machine Learning Based Application for Agricultural Solutions
  23. An Item Response Theory Framework for Persuasion
  24. Simulating Fluids in Real-World Still Images
  25. Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes
  26. Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation
  27. EMOCA: Emotion Driven Monocular Face Capture and Animation
  28. Dictionary Attacks on Speaker Verification
  29. Satellite Image Time Series Analysis for Big Earth Observation Data
  30. Colorectal cancer survival prediction using deep distribution based multiple-instance learning
  31. Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping
  32. Complexity and Avoidance
  33. Improved far-field speech recognition using Joint Variational Autoencoder
  34. Computing the Collection of Good Models for Rule Lists
  35. Facility Location Games Beyond Single-Peakedness: the Entrance Fee Model
  36. Deconstructed Generation-Based Zero-Shot Model
  37. Unsupervised Learning Discriminative MIG Detectors in Nonhomogeneous Clutter
  38. RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
  39. Source-Free Domain Adaptation via Distribution Estimation
  40. Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion
  41. Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization
  42. Do ReLU Networks Have An Edge When Approximating Compactly-Supported Functions?
  43. Lesion Localization in OCT by Semi-Supervised Object Detection
  44. Graph Neural Network-based Early Bearing Fault Detection
  45. Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
  46. RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT
  47. Progressive Learning for Image Retrieval with Hybrid-Modality Queries
  48. COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data
  49. Partial Identification of Dose Responses with Hidden Confounders
  50. EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
  51. 2D LiDAR and Camera Fusion Using Motion Cues for Indoor Layout Estimation
  52. Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures
  53. PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
  54. M2N: Mesh Movement Networks for PDE Solvers
  55. MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames
  56. Realistic Evaluation of Transductive Few-Shot Learning
  57. Complete Policy Regret Bounds for Tallying Bandits
  58. Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation
  59. RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
  60. Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection
  61. MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem
  62. A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images