mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 12 Sep 2022

154 papers

  1. Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data AugmentationKnowledge distillation → Distillation for continual learning
  2. VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  3. Blurring Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. Understanding Time Variations of DNN Inference in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  5. Soft Diffusion: Score Matching for General CorruptionsDiffusion models → Diffusion foundations and sampling
  6. Switchable Online Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  7. A topological analysis of cointegrated data: a Z24 Bridge case study
  8. Predicting students' learning styles using regression techniques
  9. Factual and Informative Review Generation for Explainable Recommendation
  10. emojiSpace: Spatial Representation of Emojis
  11. Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality
  12. Mining SoC Message Flows with Attention Model
  13. A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks
  14. Rule-adhering synthetic data -- the lingua franca of learning
  15. Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs
  16. One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
  17. Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning
  18. On topological data analysis for SHM; an introduction to persistent homology
  19. Generate synthetic samples from tabular data
  20. CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
  21. Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces
  22. Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
  23. SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain
  24. Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
  25. Checklist Models for Improved Output Fluency in Piano Fingering Prediction
  26. Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges
  27. Driving Safety Prediction and Safe Route Mapping Using In-vehicle and Roadside Data
  28. It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games
  29. Learning domain-specific causal discovery from time series
  30. CenterFormer: Center-based Transformer for 3D Object Detection
  31. Graph Neural Networks for Molecules
  32. BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data
  33. Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
  34. Intrusion Detection Systems Using Support Vector Machines on the KDDCUP'99 and NSL-KDD Datasets: A Comprehensive Survey
  35. Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
  36. Uncovering Regions of Maximum Dissimilarity on Random Process Data
  37. Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
  38. An Embedding-Based Grocery Search Model at Instacart
  39. Mathematical Framework for Online Social Media Auditing
  40. The Mori-Zwanzig formulation of deep learning
  41. PreSTU: Pre-Training for Scene-Text Understanding
  42. Model-based Reinforcement Learning with Multi-step Plan Value Estimation
  43. TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
  44. Deep Neural Networks as Complex Networks
  45. Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing
  46. CustOmics: A versatile deep-learning based strategy for multi-omics integration
  47. Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
  48. A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
  49. Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images
  50. Large-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendation
  51. Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
  52. Boosting Robustness Verification of Semantic Feature Neighborhoods
  53. 3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
  54. FP8 Formats for Deep Learning
  55. Self-supervised Wide Baseline Visual Servoing via 3D Equivariance
  56. Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
  57. Statistical Learning Theory for Control: A Finite Sample Perspective
  58. Multimodal Graph Learning for Deepfake Detection
  59. Chromosome Segmentation Analysis Using Image Processing Techniques and Autoencoders
  60. On Faithfulness and Coherence of Language Explanations for Recommendation Systems
  61. Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning
  62. Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
  63. Residual Correction in Real-Time Traffic Forecasting
  64. MaXM: Towards Multilingual Visual Question Answering
  65. Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning
  66. Action-based Early Autism Diagnosis Using Contrastive Feature Learning
  67. Convergence of Batch Updating Methods with Approximate Gradients and/or Noisy Measurements: Theory and Computational Results
  68. Model interpretation using improved local regression with variable importance
  69. If Influence Functions are the Answer, Then What is the Question?
  70. Analysis and Comparison of Classification Metrics
  71. Modular Representations for Weak Disentanglement
  72. Rollout Total Correlation for Deep Reinforcement Learning
  73. Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe
  74. Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment
  75. On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
  76. GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
  77. Unified State Representation Learning under Data Augmentation
  78. Lexical Simplification Benchmarks for English, Portuguese, and Spanish
  79. An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning
  80. Deep Convolutional Pooling Transformer for Deepfake Detection
  81. DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
  82. A Review of Challenges in Machine Learning based Automated Hate Speech Detection
  83. DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text
  84. Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review
  85. StructNeRF: Neural Radiance Fields for Indoor Scenes with Structural Hints
  86. Fairness in Forecasting of Observations of Linear Dynamical Systems
  87. Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders
  88. A new hazard event classification model via deep learning and multifractal
  89. TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning
  90. TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories
  91. Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
  92. SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump
  93. β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck
  94. Style Variable and Irrelevant Learning for Generalizable Person Re-identification
  95. Low rank prior and l0 norm to remove impulse noise in images
  96. DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
  97. Efficient Customer Service Combining Human Operators and Virtual Agents
  98. A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding
  99. Structured Recognition for Generative Models with Explaining Away
  100. Graph Neural Modeling of Network Flows
All 154
  1. A Differentiable Loss Function for Learning Heuristics in A*
  2. Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations
  3. A Note on the Efficient Evaluation of PAC-Bayes Bounds
  4. Learning Obstacle-Avoiding Lattice Paths using Swarm Heuristics: Exploring the Bijection to Ordered Trees
  5. Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach
  6. Open-Domain Dialog Evaluation using Follow-Ups Likelihood
  7. Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise
  8. LF-VISLAM: A SLAM Framework for Large Field-of-View Cameras with Negative Imaging Plane on Mobile Agents
  9. Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
  10. Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
  11. Detecting Network-based Internet Censorship via Latent Feature Representation Learning
  12. Bounding the Rademacher Complexity of Fourier neural operators
  13. Personalized Federated Learning with Communication Compression
  14. The role of entanglement for enhancing the efficiency of quantum kernels towards classification
  15. Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction
  16. On topological data analysis for structural dynamics: an introduction to persistent homology
  17. Semantic-Preserving Adversarial Code Comprehension
  18. Operational solar flare forecasting via video-based deep learning
  19. Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
  20. Ordinal Graph Gamma Belief Network for Social Recommender Systems
  21. Bias Challenges in Counterfactual Data Augmentation
  22. SELTO: Sample-Efficient Learned Topology Optimization
  23. Reproducibility in machine learning for medical imaging
  24. Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
  25. Bridging between LegalRuleML and TPTP for Automated Normative Reasoning (extended version)
  26. Explaining Predictions from Machine Learning Models: Algorithms, Users, and Pedagogy
  27. Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision
  28. BON: An extended public domain dataset for human activity recognition
  29. mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for Millimeter Wave Radar
  30. Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room
  31. CARE: Certifiably Robust Learning with Reasoning via Variational Inference
  32. High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation
  33. Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection
  34. Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?
  35. Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
  36. Predicting the Next Action by Modeling the Abstract Goal
  37. On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator
  38. SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning
  39. TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
  40. CSL: A Large-scale Chinese Scientific Literature Dataset
  41. Vision Transformer with Convolutional Encoder-Decoder for Hand Gesture Recognition using 24 GHz Doppler Radar
  42. PoseIt: A Visual-Tactile Dataset of Holding Poses for Grasp Stability Analysis
  43. Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs
  44. An Investigation of Smart Contract for Collaborative Machine Learning Model Training
  45. FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction
  46. Learning A Locally Unified 3D Point Cloud for View Synthesis
  47. Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability
  48. Domain Adaptation for Question Answering via Question Classification
  49. A novel learning-based robust model predictive control energy management strategy for fuel cell electric vehicles
  50. Knowledge Base Question Answering: A Semantic Parsing Perspective
  51. Wasserstein Distributional Learning
  52. VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition
  53. Multi-modal Streaming 3D Object Detection
  54. Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering