mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 19 Feb 2021

119 papers

  1. Instrumental Variable Value Iteration for Causal Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  2. PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingLLM safety and security → Membership inference attacks
  3. Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
  4. GnetDet: Object Detection Optimized on a 224mW CNN Accelerator Chip at the Speed of 106FPS
  5. Urdu Handwritten Text Recognition Using ResNet18
  6. SAT-based Circuit Local Improvement
  7. A PAC-Bayes Analysis of Adversarial Robustness
  8. Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
  9. High-order Differentiable Autoencoder for Nonlinear Model Reduction
  10. Universal Approximation Theorem for Neural Networks
  11. CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
  12. Linear Classifiers in Product Space Forms
  13. Camera Calibration with Pose Guidance
  14. A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
  15. Information-Theoretic Bounds for Integral Estimation
  16. Quantifying Variational Approximation for the Log-Partition Function
  17. Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
  18. Keyboards as a new model of computation
  19. Conditional Adversarial Networks for Multi-Domain Text Classification
  20. Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning
  21. Spatial-temporal switching estimators for imaging locally concentrated dynamics
  22. Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging
  23. Learning to Persuade on the Fly: Robustness Against Ignorance
  24. A theory of capacity and sparse neural encoding
  25. Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems
  26. BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning
  27. Hamiltonian-Driven Shadow Tomography of Quantum States
  28. Scaling up DNA digital data storage by efficiently predicting DNA hybridisation using deep learning
  29. Image Classification using CNN for Traffic Signs in Pakistan
  30. Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  31. Formal Language Theory Meets Modern NLP
  32. Compact and adaptive multiplane images for view synthesis
  33. Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs
  34. Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection
  35. Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
  36. Sentiment Analysis for YouTube Comments in Roman Urdu
  37. A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
  38. Principled Simplicial Neural Networks for Trajectory Prediction
  39. Molecular Contrastive Learning of Representations via Graph Neural Networks
  40. Effective and Efficient Vote Attack on Capsule Networks
  41. A Projection Algorithm for the Unitary Weights
  42. Going beyond p-convolutions to learn grayscale morphological operators
  43. Continual Learning from Synthetic Data for a Humanoid Exercise Robot
  44. Pose Guided Person Image Generation with Hidden p-Norm Regression
  45. Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
  46. Learning to Stop with Surprisingly Few Samples
  47. Neural Kalman Filtering
  48. Affirmative Action vs. Affirmative Information
  49. Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming
  50. Analytics and Machine Learning in Vehicle Routing Research
  51. Using Transformer based Ensemble Learning to classify Scientific Articles
  52. Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes
  53. A flow-based IDS using Machine Learning in eBPF
  54. Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data
  55. Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections
  56. Implicit Regularization in Tensor Factorization
  57. Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking
  58. Temporal Gaussian Process Regression in Logarithmic Time
  59. Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology
  60. Subjective Assessments of Legibility in Ancient Manuscript Images -- The SALAMI Dataset
  61. Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast
  62. Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach
  63. A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions
  64. Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
  65. Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
  66. Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
  67. Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
  68. A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization
  69. Condensed Composite Memory Continual Learning
  70. SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving
  71. Anytime Diagnosis for Reconfiguration
  72. Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
  73. KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text
  74. An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
  75. ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
  76. Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy
  77. Model-Invariant State Abstractions for Model-Based Reinforcement Learning
  78. E(n) Equivariant Graph Neural Networks
  79. Controller Synthesis for Golog Programs over Finite Domains with Metric Temporal Constraints
  80. Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models
  81. Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
  82. Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
  83. Local Convergence of Adaptive Gradient Descent Optimizers
  84. Training Neural Networks is existsmathbb R-complete
  85. A GAN-Based Input-Size Flexibility Model for Single Image Dehazing
  86. Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure
  87. Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
  88. An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation
  89. Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
  90. A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
  91. Progressive Transformer-Based Generation of Radiology Reports
  92. A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ
  93. Regularized Recovery by Multi-order Partial Hypergraph Total Variation
  94. On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
  95. Probabilistic Generating Circuits
  96. Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas
  97. Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
  98. Serial-parallel Multi-Scale Feature Fusion for Anatomy-Oriented Hand Joint Detection
  99. TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
  100. VisuoSpatial Foresight for Physical Sequential Fabric Manipulation
All 119
  1. Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
  2. Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT
  3. Decentralized Deterministic Multi-Agent Reinforcement Learning
  4. Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review
  5. Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
  6. One Shot Audio to Animated Video Generation
  7. Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer
  8. Permutation-Based SGD: Is Random Optimal?
  9. Continual Learning for Blind Image Quality Assessment
  10. Back Translation Survey for Improving Text Augmentation
  11. Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
  12. Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
  13. Center Smoothing: Certified Robustness for Networks with Structured Outputs
  14. AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods
  15. Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks
  16. To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
  17. Calibrate Before Use: Improving Few-Shot Performance of Language Models
  18. SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
  19. Convolutional Normalization