mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 2 Mar 2022

213 papers

  1. A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open ProblemsOffline RL and imitation learning from data → Offline RL algorithms
  2. Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language ModelsMixture-of-experts → MoE theory and gating functions
  3. MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of MembersLLM safety and security → Membership inference attacks
  4. X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense CaptioningKnowledge distillation → Detection and dense prediction distillation
  5. Robust Portfolio Design and Stock Price Prediction Using an Optimized LSTM Model
  6. Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers
  7. Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning
  8. Machine Learning Methods in Solving the Boolean Satisfiability Problem
  9. Biological Sequence Design with GFlowNets
  10. Foundations for Grassroots Democratic Metaverse
  11. Naturally-meaningful and efficient descriptors: machine learning of material properties based on robust one-shot ab initio descriptors
  12. A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control
  13. Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
  14. Contextual Attention Network: Transformer Meets U-Net
  15. Understanding microbiome dynamics via interpretable graph representation learning
  16. What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
  17. Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images
  18. Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
  19. Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
  20. Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
  21. Object Pose Estimation using Mid-level Visual Representations
  22. Learning Stochastic Parametric Differentiable Predictive Control Policies
  23. LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives
  24. Continuous-Time Meta-Learning with Forward Mode Differentiation
  25. 3D Common Corruptions and Data Augmentation
  26. Near-Optimal Correlation Clustering with Privacy
  27. Enhancing Adversarial Robustness for Deep Metric Learning
  28. MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
  29. SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks
  30. Estimating Conditional Average Treatment Effects with Missing Treatment Information
  31. A Fully Memristive Spiking Neural Network with Unsupervised Learning
  32. Adaptive Gradient Methods with Local Guarantees
  33. Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques
  34. DDL-MVS: Depth Discontinuity Learning for MVS Networks
  35. Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs
  36. Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
  37. Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
  38. Stable and Semi-stable Sampling Approaches for Continuously Used Samples
  39. Conditional Reconstruction for Open-set Semantic Segmentation
  40. Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
  41. Neural Galerkin Schemes with Active Learning for High-Dimensional Evolution Equations
  42. Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
  43. Precise Stock Price Prediction for Optimized Portfolio Design Using an LSTM Model
  44. Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
  45. Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
  46. Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation
  47. Recent, rapid advancement in visual question answering architecture: a review
  48. Protecting Celebrities from DeepFake with Identity Consistency Transformer
  49. High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning
  50. Counterfactually Evaluating Explanations in Recommender Systems
  51. DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
  52. Supervised Hebbian Learning
  53. An Analysis of Ensemble Sampling
  54. Evolving Curricula with Regret-Based Environment Design
  55. STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations
  56. Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
  57. Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement
  58. Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering
  59. ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
  60. The role of haptic communication in dyadic collaborative object manipulation tasks
  61. py-irt: A Scalable Item Response Theory Library for Python
  62. Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis
  63. Self-supervised Transformer for Deepfake Detection
  64. Interactive Visualization of Protein RINs using NetworKit in the Cloud
  65. TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor
  66. Low-Degree Multicalibration
  67. A Unified Query-based Paradigm for Point Cloud Understanding
  68. WaveY-Net: Physics-augmented deep learning for high-speed electromagnetic simulation and optimization
  69. H4D: Human 4D Modeling by Learning Neural Compositional Representation
  70. Flow-based density of states for complex actions
  71. On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
  72. Convolutional neural networks as an alternative to Bayesian retrievals
  73. Differentiable Iterated Function Systems
  74. On the application of generative adversarial networks for nonlinear modal analysis
  75. Estimating average causal effects from patient trajectories
  76. Video Question Answering: Datasets, Algorithms and Challenges
  77. Are Latent Factor Regression and Sparse Regression Adequate?
  78. Learning Conditional Variational Autoencoders with Missing Covariates
  79. Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation
  80. A Simple and Universal Rotation Equivariant Point-cloud Network
  81. Mukayese: Turkish NLP Strikes Back
  82. Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
  83. A Quantitative Geometric Approach to Neural-Network Smoothness
  84. Container Localisation and Mass Estimation with an RGB-D Camera
  85. Audio Self-supervised Learning: A Survey
  86. Analytical Solutions for the Inverse Problem within Gradual Semantics
  87. Linear Stochastic Bandits over a Bit-Constrained Channel
  88. VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface
  89. Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
  90. Model-free Neural Lyapunov Control for Safe Robot Navigation
  91. Visual Feature Encoding for GNNs on Road Networks
  92. Hybrid Model-based / Data-driven Graph Transform for Image Coding
  93. Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines
  94. DCT-Former: Efficient Self-Attention with Discrete Cosine Transform
  95. Detecting Adversarial Perturbations in Multi-Task Perception
  96. Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots
  97. Imitation of Manipulation Skills Using Multiple Geometries
  98. Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics
  99. Discrete Optimal Transport with Independent Marginals is #P-Hard
  100. Rethinking Pretraining as a Bridge from ANNs to SNNs
All 213
  1. Engineering the Neural Automatic Passenger Counter
  2. InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
  3. DisARM: Displacement Aware Relation Module for 3D Detection
  4. Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
  5. Controlling the Focus of Pretrained Language Generation Models
  6. Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
  7. Pattern Recognition and Event Detection on IoT Data-streams
  8. Hyperparameter optimization of data-driven AI models on HPC systems
  9. Large-Scale Hate Speech Detection with Cross-Domain Transfer
  10. The Optimal Noise in Noise-Contrastive Learning Is Not What You Think
  11. Practical Recommendations for the Design of Automatic Fault Detection Algorithms Based on Experiments with Field Monitoring Data
  12. Model-agnostic out-of-distribution detection using combined statistical tests
  13. A Generalized Approach for Cancellable Template and Its Realization for Minutia Cylinder-Code
  14. Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
  15. Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
  16. Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications
  17. Addressing Gap between Training Data and Deployed Environment by On-Device Learning
  18. Reliable validation of Reinforcement Learning Benchmarks
  19. Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation
  20. OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation
  21. Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain
  22. Discontinuous Constituency and BERT: A Case Study of Dutch
  23. Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
  24. A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
  25. Unsupervised Anomaly Detection from Time-of-Flight Depth Images
  26. 3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects
  27. SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
  28. Image-based material analysis of ancient historical documents
  29. Asynchronous Optimisation for Event-based Visual Odometry
  30. Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks
  31. Learning in Sparse Rewards settings through Quality-Diversity algorithms
  32. On the Configuration of More and Less Expressive Logic Programs
  33. TableFormer: Table Structure Understanding with Transformers
  34. The Theoretical Expressiveness of Maxpooling
  35. Continual Feature Selection: Spurious Features in Continual Learning
  36. UAV-Aided Decentralized Learning over Mesh Networks
  37. Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
  38. DeepAutoPIN: An automorphism orbits based deep neural network for characterizing the organizational diversity of protein interactomes across the tree of life
  39. Learning Efficiently Function Approximation for Contextual MDP
  40. The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
  41. Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material
  42. Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
  43. Chained Generalisation Bounds
  44. L4KDE: Learning for KinoDynamic Tree Expansion
  45. Predicting the temporal dynamics of turbulent channels through deep learning
  46. A density peaks clustering algorithm with sparse search and K-d tree
  47. Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
  48. Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction
  49. PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application
  50. Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
  51. Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions
  52. Learning Moving-Object Tracking with FMCW LiDAR
  53. GRASP EARTH: Intuitive Software for Discovering Changes on the Planet
  54. Computationally Efficient and Statistically Optimal Robust Low-rank Matrix and Tensor Estimation
  55. Sketched RT3D: How to reconstruct billions of photons per second
  56. Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis
  57. GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
  58. CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
  59. ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
  60. Neuro-Symbolic Verification of Deep Neural Networks
  61. ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
  62. Continual Learning of Multi-modal Dynamics with External Memory
  63. TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration
  64. Parameterized Image Quality Score Distribution Prediction
  65. Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud
  66. Adversarial attacks on neural networks through canonical Riemannian foliations
  67. PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
  68. A Principled Design of Image Representation: Towards Forensic Tasks
  69. Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
  70. Split Semantic Detection in Sandplay Images
  71. Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems
  72. Weakly Supervised Correspondence Learning
  73. Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
  74. Do Prompts Solve NLP Tasks Using Natural Language?
  75. Machine learning based lens-free imaging technique for field-portable cytometry
  76. Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems
  77. Sampling Ex-Post Group-Fair Rankings
  78. A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management
  79. Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning
  80. Implications of Distance over Redistricting Maps: Central and Outlier Maps
  81. Dense Voxel Fusion for 3D Object Detection
  82. Faith-Shap: The Faithful Shapley Interaction Index
  83. Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection
  84. Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding
  85. A Unifying Framework for Some Directed Distances in Statistics
  86. SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment
  87. Styleverse: Towards Identity Stylization across Heterogeneous Domains
  88. D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention
  89. MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
  90. Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving
  91. FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours
  92. Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models
  93. Adversarially Robust Learning with Tolerance
  94. PUMA: Performance Unchanged Model Augmentation for Training Data Removal
  95. Can No-reference features help in Full-reference image quality estimation?
  96. OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
  97. CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer
  98. Adaptive Discriminative Regularization for Visual Classification
  99. Personalized Federated Learning With Graph
  100. 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
  101. Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation
  102. Asymptotic Normality of Log Likelihood Ratio and Fundamental Limit of the Weak Detection for Spiked Wigner Matrices
  103. Partial Likelihood Thompson Sampling
  104. TSAM: A Two-Stream Attention Model for Causal Emotion Entailment
  105. Computerization of Clinical Pathways: A Literature Review and Directions for Future Research
  106. An Accelerated Stochastic Variance-Reduced Algorithm for Entropic Wasserstein Barycenters
  107. Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution
  108. The quantum low-rank approximation problem
  109. Robust Seatbelt Detection and Usage Recognition for Driver Monitoring Systems
  110. Instance-aware multi-object self-supervision for monocular depth prediction
  111. InCloud: Incremental Learning for Point Cloud Place Recognition
  112. NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems
  113. Code Smells in Machine Learning Systems