mlsanityData to 7 Oct 2026

Papers

New on arXiv

Mon 21 Feb 2022

148 papers

  1. Vision-Language Pre-Training with Triple Contrastive LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  2. HoneyModels: Machine Learning HoneypotsLLM safety and security → Watermarking generated content and models
  3. A Review of Emerging Research Directions in Abstract Visual ReasoningLLM reasoning → Multimodal reasoning
  4. Poisoning Attacks and Defenses on Artificial Intelligence: A SurveyLLM safety and security → Backdoor and data poisoning attacks
  5. Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded IntersectionsOffline RL and imitation learning from data → Imitation and offline RL for driving
  6. Vision-based Autonomous Driving for Unstructured Environments Using Imitation LearningEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  7. Intelligent Blockage Prediction and Proactive Handover for Seamless Connectivity in Vision-Aided 5G/6G UDNs
  8. On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes
  9. Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing
  10. GPT-based Open-Ended Knowledge Tracing
  11. Counter Hate Speech in Social Media: A Survey
  12. Adaptive Discounting of Implicit Language Models in RNN-Transducers
  13. Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
  14. Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
  15. Investigations of Performance and Bias in Human-AI Teamwork in Hiring
  16. GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
  17. Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis
  18. Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection
  19. r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation
  20. Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks
  21. MSTGD:A Memory Stochastic sTratified Gradient Descent Method with an Exponential Convergence Rate
  22. A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients
  23. Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction
  24. Variation Aware Training of Hybrid Precision Neural Networks with 28nm HKMG FeFET Based Synaptic Core
  25. Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
  26. Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration
  27. A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets
  28. Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
  29. Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants
  30. t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
  31. CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator
  32. Moment Matching Deep Contrastive Latent Variable Models
  33. GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty
  34. Imbalanced Classification via Explicit Gradient Learning From Augmented Data
  35. Privacy Leakage of Adversarial Training Models in Federated Learning Systems
  36. ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes
  37. Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks
  38. Dynamic Sampling Rate: Harnessing Frame Coherence in Graphics Applications for Energy-Efficient GPUs
  39. Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
  40. Non-Volatile Memory Accelerated Posterior Estimation
  41. Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees
  42. Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network
  43. Accelerating Primal-dual Methods for Regularized Markov Decision Processes
  44. Self-Evolutionary Clustering
  45. CaMEL: Mean Teacher Learning for Image Captioning
  46. Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
  47. A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
  48. A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
  49. Towards technological adaptation of advanced farming through AI, IoT, and Robotics: A Comprehensive overview
  50. Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset
  51. Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
  52. Transformer Quality in Linear Time
  53. EINNs: Epidemiologically-informed Neural Networks
  54. Survey on Large Scale Neural Network Training
  55. Reasoning with Scene Graphs for Robot Planning under Partial Observability
  56. Learning Causal Overhypotheses through Exploration in Children and Computational Models
  57. Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection
  58. Interpreting Language Models with Contrastive Explanations
  59. Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users
  60. Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference
  61. Learning Behavioral Soft Constraints from Demonstrations
  62. MIST GAN: Modality Imputation Using Style Transfer for MRI
  63. Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations
  64. Rule Mining over Knowledge Graphs via Reinforcement Learning
  65. A Tutorial on Adversarial Learning Attacks and Countermeasures
  66. Same Cause; Different Effects in the Brain
  67. L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment
  68. Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies
  69. Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
  70. On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation
  71. Explainability in Machine Learning: a Pedagogical Perspective
  72. Manage risks in complex engagements by leveraging organization-wide knowledge using Machine Learning
  73. Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach
  74. Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
  75. VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation
  76. Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge
  77. Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition
  78. Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet
  79. A Comprehensive Evaluation on Multi-channel Biometric Face Presentation Attack Detection
  80. ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
  81. End-to-End High Accuracy License Plate Recognition Based on Depthwise Separable Convolution Networks
  82. A Self-Supervised Descriptor for Image Copy Detection
  83. PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling
  84. Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
  85. Rethinking the Zigzag Flattening for Image Reading
  86. Geodesic Quantum Walks
  87. Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
  88. Offline Text-Independent Writer Identification based on word level data
  89. Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
  90. OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics
  91. Permutation Predictions for Non-Clairvoyant Scheduling
  92. Low-Dimensional High-Fidelity Kinetic Models for NOX Formation by a Compute Intensification Method
  93. Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing
  94. OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
  95. Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset
  96. Cell nuclei classification in histopathological images using hybrid OLConvNet
  97. Diffusion Causal Models for Counterfactual Estimation
  98. DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance
  99. 1-WL Expressiveness Is (Almost) All You Need
  100. Inferring Lexicographically-Ordered Rewards from Preferences
All 148
  1. A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets
  2. Synthetic CT Skull Generation for Transcranial MR Imaging-Guided Focused Ultrasound Interventions with Conditional Adversarial Networks
  3. The Good Shepherd: An Oracle Agent for Mechanism Design
  4. MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning
  5. ABO3 Perovskites' Formability Prediction and Crystal Structure Classification using Machine Learning
  6. HCMD-zero: Learning Value Aligned Mechanisms from Data
  7. An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation
  8. ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
  9. Model-Agnostic Augmentation for Accurate Graph Classification
  10. Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
  11. BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines
  12. Enabling On-Device Smartphone GPU based Training: Lessons Learned
  13. Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder
  14. Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review
  15. Point Cloud Denoising via Momentum Ascent in Gradient Fields
  16. ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code
  17. Multi-task Representation Learning with Stochastic Linear Bandits
  18. Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community
  19. USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation
  20. CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories
  21. Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
  22. PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network
  23. DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
  24. Domain-level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification
  25. Toward More Generalized Malicious URL Detection Models
  26. CCDD: A Tractable Representation for Model Counting and Uniform Sampling
  27. Autonomous Warehouse Robot using Deep Q-Learning
  28. AI/ML Algorithms and Applications in VLSI Design and Technology
  29. Double Thompson Sampling in Finite stochastic Games
  30. Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection
  31. Domain-Augmented Domain Adaptation
  32. Transferring Adversarial Robustness Through Robust Representation Matching
  33. Learning Low Degree Hypergraphs
  34. Outlier-based Autism Detection using Longitudinal Structural MRI
  35. Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
  36. Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations
  37. RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics
  38. Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments
  39. Deep Feature based Cross-slide Registration
  40. A Deep Learning Model for Forecasting Global Monthly Mean Sea Surface Temperature Anomalies
  41. Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods
  42. StyleBERT: Chinese pretraining by font style information
  43. Theoretical Analysis of Deep Neural Networks in Physical Layer Communication
  44. LiDAR-guided Stereo Matching with a Spatial Consistency Constraint
  45. CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing
  46. Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation
  47. Multiscale Crowd Counting and Localization By Multitask Point Supervision
  48. Generative Target Update for Adaptive Siamese Tracking