mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 12 Jun 2022

78 papers

  1. Case-Based Inverse Reinforcement Learning Using Temporal CoherenceOffline RL and imitation learning from data → Imitation learning methods
  2. Bayesian NVH metamodels to assess interior cabin noise using measurement databases
  3. "COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation
  4. Neurotoxin: Durable Backdoors in Federated Learning
  5. DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning
  6. Darknet Traffic Classification and Adversarial Attacks
  7. Don't "research fast and break things": On the ethics of Computational Social Science
  8. A Directed-Evolution Method for Sparsification and Compression of Neural Networks with Application to Object Identification and Segmentation and considerations of optimal quantization using small number of bits
  9. Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble
  10. ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths
  11. Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
  12. InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness
  13. FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens
  14. Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time
  15. GAN based Data Augmentation to Resolve Class Imbalance
  16. NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation
  17. GLIPv2: Unifying Localization and Vision-Language Understanding
  18. Deep Reinforcement Learning for Optimal Investment and Saving Strategy Selection in Heterogeneous Profiles: Intelligent Agents working towards retirement
  19. COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
  20. Stochastic Gradient Descent without Full Data Shuffle
  21. Learning general conditional independence structures via the neighbourhood lattice
  22. Bounding and Approximating Intersectional Fairness through Marginal Fairness
  23. A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
  24. Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling
  25. An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data
  26. Analysis of Branch Specialization and its Application in Image Decomposition
  27. Geometric Policy Iteration for Markov Decision Processes
  28. Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation
  29. Self-critiquing models for assisting human evaluators
  30. SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network
  31. Data Augmentation for Intent Classification
  32. DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis
  33. Learning-Based Data Storage [Vision] (Technical Report)
  34. The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task
  35. The Rough Topology for Numerical Data
  36. Distributed Differential Privacy in Multi-Armed Bandits
  37. A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics
  38. Mining Multi-Label Samples from Single Positive Labels
  39. SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
  40. Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
  41. Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning
  42. Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
  43. Learning to Detect with Constant False Alarm Rate
  44. Bootstrapping Multi-view Representations for Fake News Detection
  45. SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views
  46. Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic
  47. Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network
  48. Adding New Categories in Object Detection Using Few-Shot Copy-Paste
  49. Machine learning based surrogate modeling with SVD enabled training for nonlinear civil structures subject to dynamic loading
  50. Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher
  51. Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
  52. Narrowing the Gap: Improved Detector Training with Noisy Location Annotations
  53. DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
  54. CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
  55. PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
  56. A Functional Information Perspective on Model Interpretation
  57. Grounding in social media: An approach to building a chit-chat dialogue model
  58. PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model
  59. RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
  60. tBDFS: Temporal Graph Neural Network Leveraging DFS
  61. DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement
  62. Knowledge as Fruits of Ignorance: A global Free Energy Principle of our way of thinking
  63. APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
  64. Balancing Bias and Variance for Active Weakly Supervised Learning
  65. A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
  66. Universality and approximation bounds for echo state networks with random weights
  67. Federated Learning on Riemannian Manifolds
  68. An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines
  69. Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization
  70. Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations
  71. Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies
  72. STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition
  73. Preprocessing Enhanced Image Compression for Machine Vision
  74. TileGen: Tileable, Controllable Material Generation and Capture
  75. Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes
  76. A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors
  77. Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks
  78. An Unsupervised Deep-Learning Method for Bone Age Assessment