mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 9 Aug 2022

125 papers

  1. Limitations of Language Models in Arithmetic and Symbolic InductionLLM reasoning → Mathematical reasoning
  2. Wavelet Score-Based Generative ModelingDiffusion models → Diffusion foundations and sampling
  3. Simplified State Space Layers for Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
  4. Basis for Intentions: Efficient Inverse Reinforcement Learning using Past ExperienceOffline RL and imitation learning from data → Inverse reinforcement learning
  5. Intrinsically Motivated Learning of Causal World ModelsWorld models → World models for language agents
  6. Exploring the trade off between human driving imitation and safety for traffic simulationEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  7. DeepHider: A Covert NLP Watermarking Framework Based on Multi-task LearningLLM safety and security → Watermarking generated content and models
  8. Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender SystemsOffline RL and imitation learning from data → Decision transformers and sequence modeling
  9. A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
  10. Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment
  11. Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach
  12. PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
  13. Learning to Improve Code Efficiency
  14. Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
  15. Interpretable Polynomial Neural Ordinary Differential Equations
  16. Ad Hoc Teamwork in the Presence of Adversaries
  17. Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes
  18. Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
  19. Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture
  20. Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection
  21. Adaptive Target-Condition Neural Network: DNN-Aided Load Balancing for Hybrid LiFi and WiFi Networks
  22. Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework
  23. A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias
  24. Aesthetic Bot: Interactively Evolving Game Maps on Twitter
  25. Privacy-Aware Adversarial Network in Human Mobility Prediction
  26. Natural Language Processing for Systems Engineering: Automatic Generation of Systems Modelling Language Diagrams
  27. CoViT: Real-time phylogenetics for the SARS-CoV-2 pandemic using Vision Transformers
  28. A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems
  29. Quantum artificial vision for defect detection in manufacturing
  30. Vehicle Type Specific Waypoint Generation
  31. Machine Learning 1- and 2-electron reduced density matrices of polymeric molecules
  32. Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
  33. Explainable prediction of Qcodes for NOTAMs using column generation
  34. Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
  35. BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications
  36. Visual Heart Rate Estimation from RGB Facial Video using Spectral Reflectance
  37. Attention Hijacking in Trojan Transformers
  38. Bridging the gap between target-based and cell-based drug discovery with a graph generative multi-task model
  39. A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets
  40. Literature Review: Graph Kernels in Chemoinformatics
  41. On the Activation Function Dependence of the Spectral Bias of Neural Networks
  42. TSRFormer: Table Structure Recognition with Transformers
  43. Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction
  44. Sports Video Analysis on Large-Scale Data
  45. Localizing the conceptual difference of two scenes using deep learning for house keeping usages
  46. Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
  47. sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs
  48. Kill Chaos with Kindness: Agreeableness Improves Team Performance Under Uncertainty
  49. Fully probabilistic deep models for forward and inverse problems in parametric PDEs
  50. Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
  51. From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent
  52. On the Importance of Critical Period in Multi-stage Reinforcement Learning
  53. Global Evaluation for Decision Tree Learning
  54. Compositional Evaluation on Japanese Textual Entailment and Similarity
  55. Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
  56. Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts
  57. An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks
  58. HyperNST: Hyper-Networks for Neural Style Transfer
  59. Integrating connection search in graph queries
  60. Thai Wav2Vec2.0 with CommonVoice V8
  61. Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems
  62. Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study
  63. Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance Segmentation
  64. Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit
  65. Aesthetic Language Guidance Generation of Images Using Attribute Comparison
  66. Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation
  67. Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis
  68. How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification
  69. Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma
  70. Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks
  71. Boosting with copula-based components
  72. Representation learning of rare temporal conditions for travel time prediction
  73. Application of federated learning in manufacturing
  74. OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement
  75. Choose qualified instructor for university based on rule-based weighted expert system
  76. Extending GCC-PHAT using Shift Equivariant Neural Networks
  77. ASR Error Correction with Constrained Decoding on Operation Prediction
  78. Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
  79. A Means-End Account of Explainable Artificial Intelligence
  80. Causal Effect Identification in Uncertain Causal Networks
  81. Cascade-based Echo Chamber Detection
  82. RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
  83. EfficientNet for Brain-Lesion classification
  84. Classification of electromagnetic interference induced image noise in an analog video link
  85. Res-Dense Net for 3D Covid Chest CT-scan classification
  86. Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images
  87. LAMDA-SSL: Semi-Supervised Learning in Python
  88. E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes
  89. Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI
  90. IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
  91. Comparison of semi-supervised learning methods for High Content Screening quality control
  92. Stronger Privacy Amplification by Shuffling for R'enyi and Approximate Differential Privacy
  93. Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
  94. SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
  95. More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference
  96. Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives
  97. The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages
  98. Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots
  99. Statistical Properties of the log-cosh Loss Function Used in Machine Learning
  100. Analyzing and Enhancing Closed-loop Stability in Reactive Simulation
All 125
  1. High Recall Data-to-text Generation with Progressive Edit
  2. Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation
  3. Multi-target Tracking of Zebrafish based on Particle Filter
  4. Disentangled Representation Learning Using (β-)VAE and GAN
  5. Inconsistencies in the Definition and Annotation of Student Engagement in Virtual Learning Datasets: A Critical Review
  6. Emotion Detection From Tweets Using a BERT and SVM Ensemble Model
  7. Automating DBSCAN via Deep Reinforcement Learning
  8. An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
  9. VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction
  10. Motif-based Graph Representation Learning with Application to Chemical Molecules
  11. Using Large Context for Kidney Multi-Structure Segmentation from CTA Images
  12. Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences
  13. Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2
  14. Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning
  15. Object Detection with Deep Reinforcement Learning
  16. Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching
  17. Training Overparametrized Neural Networks in Sublinear Time
  18. Second Order Ensemble Langevin Method for Sampling and Inverse Problems
  19. Towards Energy-Aware Federated Learning on Battery-Powered Clients
  20. Speaker-adaptive Lip Reading with User-dependent Padding
  21. A Time-to-first-spike Coding and Conversion Aware Training for Energy-Efficient Deep Spiking Neural Network Processor Design
  22. Exploring Hate Speech Detection with HateXplain and BERT
  23. Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network
  24. The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach
  25. Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding