mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 22 Dec 2021

141 papers

  1. Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving EnvironmentEnd-to-end autonomous driving → Reinforcement learning for driving
  2. Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving PoliciesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  3. Self-Distillation Mixup Training for Non-autoregressive Neural Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
  4. Adaptive Beam Search to Enhance On-device Abstractive Summarization
  5. Learning shared neural manifolds from multi-subject FMRI data
  6. Predicting Breakdown Risk Based on Historical Maintenance Data for Air Force Ground Vehicles
  7. Agent Smith: Teaching Question Answering to Jill Watson
  8. Alpha-Mini: Minichess Agent with Deep Reinforcement Learning
  9. Understanding and Measuring Robustness of Multimodal Learning
  10. Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
  11. NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis
  12. Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
  13. Collaborative adversary nodes learning on the logs of IoT devices in an IoT network
  14. A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
  15. Newsvendor Model with Deep Reinforcement Learning
  16. How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
  17. Emulation of greenhouse-gas sensitivities using variational autoencoders
  18. Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models
  19. Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction
  20. A Simplicity Bubble Problem in Formal-Theoretic Learning Systems
  21. Human Activity Recognition on wrist-worn accelerometers using self-supervised neural networks
  22. Entropy-Regularized Partially Observed Markov Decision Processes
  23. Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
  24. ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data
  25. Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection
  26. Combinations of Adaptive Filters
  27. Direct Behavior Specification via Constrained Reinforcement Learning
  28. Evolution and trade-off dynamics of functional load
  29. SAMCNet for Spatial-configuration-based Classification: A Summary of Results
  30. Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
  31. ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
  32. Surrogate Likelihoods for Variational Annealed Importance Sampling
  33. Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations -- combining input rotations and a kinematic model
  34. Fine-grained Multi-Modal Self-Supervised Learning
  35. Simple and near-optimal algorithms for hidden stratification and multi-group learning
  36. Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding
  37. Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
  38. The Universal ℓp-Metric on Merge Trees
  39. Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
  40. Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving
  41. A Unified Analysis Method for Online Optimization in Normed Vector Space
  42. Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
  43. NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
  44. Machine learning nonequilibrium electron forces for adiabatic spin dynamics
  45. Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
  46. Reflash Dropout in Image Super-Resolution
  47. Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
  48. Machine Learning for Computational Science and Engineering -- a brief introduction and some critical questions
  49. Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
  50. Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
  51. VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation
  52. Learning and Crafting for the Wide Multiple Baseline Stereo
  53. Evaluating categorical encoding methods on a real credit card fraud detection database
  54. Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods
  55. Quantifying Gender Biases Towards Politicians on Reddit
  56. Catch Me If You GAN: Using Artificial Intelligence for Fake Log Generation
  57. Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
  58. Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
  59. DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
  60. Automatic Estimation of Anthropometric Human Body Measurements
  61. FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
  62. Toward Educator-focused Automated Scoring Systems for Reading and Writing
  63. Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding
  64. Continual learning of longitudinal health records
  65. CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models
  66. Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
  67. A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization
  68. SOLIS -- The MLOps journey from data acquisition to actionable insights
  69. Few-shot Font Generation with Weakly Supervised Localized Representations
  70. FLoBC: A Decentralized Blockchain-Based Federated Learning Framework
  71. Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks
  72. End to End Software Engineering Research
  73. Movie Recommender System using critic consensus
  74. Geodesic squared exponential kernel for non-rigid shape registration
  75. Multimodal Analysis of memes for sentiment extraction
  76. A Discriminative Single-Shot Segmentation Network for Visual Object Tracking
  77. Bottom-up approaches for multi-person pose estimation and it's applications: A brief review
  78. Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
  79. Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
  80. Binary Image Skeletonization Using 2-Stage U-Net
  81. Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach
  82. Lifting Symmetry Breaking Constraints with Inductive Logic Programming
  83. Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding
  84. STEREO: Scientific Text Reuse in Open Access Publications
  85. YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
  86. Shape Fragments
  87. BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
  88. DRF Codes: Deep SNR-Robust Feedback Codes
  89. Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising
  90. The Importance of the Current Input in Sequence Modeling
  91. On Theoretical Complexity and Boolean Satisfiability
  92. Robust learning of data anomalies with analytically-solvable entropic outlier sparsification
  93. On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares
  94. Class-aware Sounding Objects Localization via Audiovisual Correspondence
  95. Simple and Effective Balance of Contrastive Losses
  96. A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition
  97. A Survey of Natural Language Generation
  98. D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
  99. Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
  100. Generalized Local Optimality for Video Steganalysis in Motion Vector Domain
All 141
  1. Towards Malicious address identification in Bitcoin
  2. Hybrid Curriculum Learning for Emotion Recognition in Conversation
  3. Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays
  4. High-Accuracy RGB-D Face Recognition via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network
  5. Fusion of medical imaging and electronic health records with attention and multi-head machanisms
  6. Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration
  7. Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
  8. Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment
  9. Few-Shot Object Detection: A Comprehensive Survey
  10. RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
  11. Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation
  12. Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
  13. Squareplus: A Softplus-Like Algebraic Rectifier
  14. Cost Aggregation Is All You Need for Few-Shot Segmentation
  15. Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition
  16. Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
  17. Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization
  18. Dynamic Combination of Heterogeneous Models for Hierarchical Time Series
  19. How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
  20. Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
  21. AED: An black-box NLP classifier model attacker
  22. Latent Space Simulation for Carbon Capture Design Optimization
  23. Out-of-distribution Detection with Boundary Aware Learning
  24. Exploring Credibility Scoring Metrics of Perception Systems for Autonomous Driving
  25. Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models
  26. JoJoGAN: One Shot Face Stylization
  27. Consistency and Coherence from Points of Contextual Similarity
  28. Diformer: Directional Transformer for Neural Machine Translation
  29. Convolutional neural network based on transfer learning for breast cancer screening
  30. SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks
  31. MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context
  32. An Alternate Policy Gradient Estimator for Softmax Policies
  33. A Convergent ADMM Framework for Efficient Neural Network Training
  34. Entropic Herding
  35. EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
  36. Causal Inference Despite Limited Global Confounding via Mixture Models
  37. Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression
  38. GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  39. AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
  40. Neural Echo State Network using oscillations of gas bubbles in water
  41. Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Graph Information