mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 8 Nov 2022

168 papers

  1. StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen ObjectsDiffusion models → Diffusion and flow policies for robotics
  2. ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline DataOffline RL and imitation learning from data → Offline RL algorithms
  3. Calibrating Perception Uncertainty for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  4. DiffPhase: Generative Diffusion-based STFT Phase RetrievalDiffusion models → Audio, speech and music
  5. Self-conditioned Embedding Diffusion for Text GenerationDiffusion models → Discrete and text diffusion
  6. Unsupervised vocal dereverberation with diffusion-based generative modelsDiffusion models → Audio, speech and music
  7. ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  8. Understanding the Role of Mixup in Knowledge Distillation: An Empirical StudyKnowledge distillation → General knowledge distillation methods
  9. Exploring Graph-aware Multi-View Fusion for Rumor Detection on Social Media
  10. Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection
  11. Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data
  12. MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning
  13. Clustering of countries based on the associated social contact patterns in epidemiological modelling
  14. PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks
  15. Deep Appearance Prefiltering
  16. Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms
  17. A kinetic approach to consensus-based segmentation of biomedical images
  18. Variational Quantum Kernels with Task-Specific Quantum Metric Learning
  19. Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data
  20. SimOn: A Simple Framework for Online Temporal Action Localization
  21. PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping
  22. First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces
  23. System Safety Engineering for Social and Ethical ML Risks: A Case Study
  24. Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
  25. Learning to Follow Instructions in Text-Based Games
  26. Finite Sample Identification of Wide Shallow Neural Networks with Biases
  27. Detecting Euphemisms with Literal Descriptions and Visual Imagery
  28. Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing
  29. Toward a Neural Semantic Parsing System for EHR Question Answering
  30. Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
  31. A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials
  32. Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images
  33. Detecting and Accommodating Novel Types and Concepts in an Embodied Simulation Environment
  34. OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
  35. Physics-informed inference of aerial animal movements from weather radar data
  36. Going for GOAL: A Resource for Grounded Football Commentaries
  37. Harmonizing the object recognition strategies of deep neural networks with humans
  38. Creating a Safety Assurance Case for an ML Satellite-Based Wildfire Detection and Alert System
  39. Knowledge Retrieval for Robotic Cooking
  40. Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
  41. SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations
  42. Differentiable Quantum Programming with Unbounded Loops
  43. Active Example Selection for In-Context Learning
  44. Discover, Explanation, Improvement: An Automatic Slice Detection Framework for Natural Language Processing
  45. Towards Improved Room Impulse Response Estimation for Speech Recognition
  46. Quantum Persistent Homology for Time Series
  47. Hyperbolic Centroid Calculations for Text Classification
  48. flexBART: Flexible Bayesian regression trees with categorical predictors
  49. SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
  50. Algorithmic Bias in Machine Learning Based Delirium Prediction
  51. Review of coreference resolution in English and Persian
  52. Word Order Matters when you Increase Masking
  53. Black Box Lie Group Preconditioners for SGD
  54. nBIIG: A Neural BI Insights Generation System for Table Reporting
  55. Motif-guided Time Series Counterfactual Explanations
  56. Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of ℓ2 Regularization
  57. Expressing linear equality constraints in feedforward neural networks
  58. Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
  59. Reduced Order Probabilistic Emulation for Physics-Based Thermosphere Models
  60. NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
  61. A Multimodal Approach for Dementia Detection from Spontaneous Speech with Tensor Fusion Layer
  62. Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods
  63. NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
  64. Hyperparameter optimization in deep multi-target prediction
  65. Infant hip screening using multi-class ultrasound scan segmentation
  66. When & How to Transfer with Transfer Learning
  67. Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding
  68. Prompt-Based Metric Learning for Few-Shot NER
  69. Multi-Stage Based Feature Fusion of Multi-Modal Data for Human Activity Recognition
  70. An Ensemble-based approach for assigning text to correct Harmonized system code
  71. From Causal Pairs to Causal Graphs
  72. BER: Balanced Error Rate For Speaker Diarization
  73. Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing
  74. Efficient Compressed Ratio Estimation Using Online Sequential Learning for Edge Computing
  75. SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
  76. Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
  77. Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks
  78. TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering
  79. Bridging Fairness and Environmental Sustainability in Natural Language Processing
  80. Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection
  81. Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention
  82. Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank
  83. Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation
  84. Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data
  85. Gradient-enhanced deep neural network approximations
  86. Clustered Federated Learning based on Nonconvex Pairwise Fusion
  87. Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
  88. Generative Adversarial Networks for anonymous Acneic face dataset generation
  89. GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  90. Preserving Semantics in Textual Adversarial Attacks
  91. RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
  92. Third-Party Aligner for Neural Word Alignments
  93. Submission-Aware Reviewer Profiling for Reviewer Recommender System
  94. DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks
  95. Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients
  96. Learning advisor networks for noisy image classification
  97. Enhancing Efficiency in Multidevice Federated Learning through Data Selection
  98. The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity
  99. Graph Summarization via Node Grouping: A Spectral Algorithm
  100. Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification
All 168
  1. Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
  2. A Neural Network Subgrid Model of the Early Stages of Planet Formation
  3. Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
  4. Federated Learning Using Three-Operator ADMM
  5. The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry
  6. Query-Specific Knowledge Graphs for Complex Finance Topics
  7. Perspectives on neural proof nets
  8. Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
  9. An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants
  10. Active Learning with Tabular Language Models
  11. Conciseness: An Overlooked Language Task
  12. Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets
  13. Simulation-Based Parallel Training
  14. ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
  15. Privacy Meets Explainability: A Comprehensive Impact Benchmark
  16. Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds
  17. Selective compression learning of latent representations for variable-rate image compression
  18. GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network
  19. A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
  20. Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?
  21. COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
  22. Linear Self-Attention Approximation via Trainable Feedforward Kernel
  23. High-resolution embedding extractor for speaker diarisation
  24. Stress Propagation in Human-Robot Teams Based on Computational Logic Model
  25. ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
  26. What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
  27. Hyperbolic Graph Representation Learning: A Tutorial
  28. Caching and Reproducibility: Making Data Science experiments faster and FAIRer
  29. DNN Filter for Bias Reduction in Distribution-to-Distribution Scan Matching
  30. ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields
  31. Fine-grained Population Mapping from Coarse Census Counts and Open Geodata
  32. Hilbert Distillation for Cross-Dimensionality Networks
  33. A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
  34. Generating counterfactual explanations of tumor spatial proteomes to discover effective strategies for enhancing immune infiltration
  35. COV19IR : COVID-19 Domain Literature Information Retrieval
  36. An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
  37. SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
  38. Progress and summary of reinforcement learning on energy management of MPS-EV
  39. Reinforcement Learning with Stepwise Fairness Constraints
  40. Dynamic Interpretable Change Point Detection
  41. Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
  42. BT2: Backward-compatible Training with Basis Transformation
  43. Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps
  44. Adaptive Data Depth via Multi-Armed Bandits
  45. Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
  46. Doubly Inhomogeneous Reinforcement Learning
  47. Quantization-Based Optimization: Alternative Stochastic Approximation of Global Optimization
  48. On the Algorithmic Stability and Generalization of Adaptive Optimization Methods
  49. Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic
  50. Pretraining in Deep Reinforcement Learning: A Survey
  51. Significance-Based Categorical Data Clustering
  52. Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
  53. Final Report on MITRE Evaluations for the DARPA Big Mechanism Program
  54. Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
  55. Tell Your Story: Task-Oriented Dialogs for Interactive Content Creation
  56. From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
  57. Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation
  58. A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
  59. Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning
  60. ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization
  61. Comparative layer-wise analysis of self-supervised speech models
  62. Editable Indoor Lighting Estimation
  63. Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach
  64. AutoML-based Almond Yield Prediction and Projection in California
  65. Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions
  66. Strictly Breadth-First AMR Parsing
  67. ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking
  68. A Random Forest and Current Fault Texture Feature-Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR