mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 2 Nov 2021

143 papers

  1. Realistic galaxy image simulation via score-based generative modelsDiffusion models → Inverse problems and image restoration
  2. Procedural Generalization by Planning with Self-Supervised World ModelsWorld models → Latent dynamics models and model-based RL
  3. Zero-Shot Translation using Diffusion ModelsDiffusion models → Discrete and text diffusion
  4. Koopman Q-learning: Offline Reinforcement Learning via Symmetries of DynamicsOffline RL and imitation learning from data → Offline RL algorithms
  5. Knowledge Cross-Distillation for Membership PrivacyLLM safety and security → Membership inference attacks
  6. Is Complexity Important for Philosophy of Mind?
  7. Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks
  8. BiosecurID: a multimodal biometric database
  9. On Similarity
  10. Distributed Sparse Feature Selection in Communication-Restricted Networks
  11. Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis
  12. Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach
  13. Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
  14. A MIMO Radar-Based Metric Learning Approach for Activity Recognition
  15. Duality for Continuous Graphical Models
  16. Revisiting spatio-temporal layouts for compositional action recognition
  17. Dehumanizing Voice Technology: Phonetic & Experiential Consequences of Restricted Human-Machine Interaction
  18. HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks
  19. Deep learning for identification and face, gender, expression recognition under constraints
  20. Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
  21. Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data
  22. A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution
  23. Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
  24. A high performance fingerprint liveness detection method based on quality related features
  25. Equivariant Deep Dynamical Model for Motion Prediction
  26. A dataset for multi-sensor drone detection
  27. Conformal testing: binary case with Markov alternatives
  28. Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
  29. Discovering Supply Chain Links with Augmented Intelligence
  30. Subquadratic Overparameterization for Shallow Neural Networks
  31. Towards Fairness-Aware Federated Learning
  32. From Strings to Data Science: a Practical Framework for Automated String Handling
  33. Probabilistic Deep Learning for Real-Time Large Deformation Simulations
  34. 3-D PET Image Generation with tumour masks using TGAN
  35. Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay
  36. Source-to-Source Automatic Differentiation of OpenMP Parallel Loops
  37. Detecting Logical Relation In Contract Clauses
  38. Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
  39. Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
  40. Coordinate Linear Variance Reduction for Generalized Linear Programming
  41. A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries
  42. PatchGame: Learning to Signal Mid-level Patches in Referential Games
  43. A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies
  44. Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks
  45. Nearly Optimal Algorithms for Level Set Estimation
  46. Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
  47. Meta-Learning to Improve Pre-Training
  48. Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning
  49. UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
  50. Designing Inherently Interpretable Machine Learning Models
  51. LogAvgExp Provides a Principled and Performant Global Pooling Operator
  52. Personalized One-Shot Lipreading for an ALS Patient
  53. Spatio-Temporal Variational Gaussian Processes
  54. Instructive artificial intelligence (AI) for human training, assistance, and explainability
  55. CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds
  56. Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
  57. Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
  58. MixFace: Improving Face Verification Focusing on Fine-grained Conditions
  59. Absolute distance prediction based on deep learning object detection and monocular depth estimation models
  60. Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
  61. Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking
  62. AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements
  63. Low-Rank+Sparse Tensor Compression for Neural Networks
  64. Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging
  65. Recent Advances in End-to-End Automatic Speech Recognition
  66. Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density
  67. Towards Text-based Phishing Detection
  68. Relational Self-Attention: What's Missing in Attention for Video Understanding
  69. Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation
  70. Classification of Goods Using Text Descriptions With Sentences Retrieval
  71. OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
  72. LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision
  73. Automating Public Announcement Logic with Relativized Common Knowledge as a Fragment of HOL in LogiKEy
  74. Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
  75. Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation
  76. Human Attention in Fine-grained Classification
  77. Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations
  78. A Tri-attention Fusion Guided Multi-modal Segmentation Network
  79. StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
  80. OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
  81. PolyTrack: Tracking with Bounding Polygons
  82. A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods
  83. Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
  84. Trajectory Prediction with Graph-based Dual-scale Context Fusion
  85. Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos
  86. Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation
  87. Nonstochastic Bandits and Experts with Arm-Dependent Delays
  88. Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems
  89. LMdiff: A Visual Diff Tool to Compare Language Models
  90. Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits
  91. Strategyproof and Proportionally Fair Facility Location
  92. MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
  93. Likelihood-Free Inference in State-Space Models with Unknown Dynamics
  94. UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension
  95. Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
  96. FedFly: Towards Migration in Edge-based Distributed Federated Learning
  97. Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model
  98. ISP-Agnostic Image Reconstruction for Under-Display Cameras
  99. A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives
  100. Out of distribution detection for skin and malaria images
All 143
  1. Constructing Neural Network-Based Models for Simulating Dynamical Systems
  2. ArchABM: an agent-based simulator of human interaction with the built environment. CO2 and viral load analysis for indoor air quality
  3. DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks
  4. A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)
  5. Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
  6. System Combination for Grammatical Error Correction Based on Integer Programming
  7. Geometry-aware Bayesian Optimization in Robotics using Riemannian Mat'ern Kernels
  8. Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework
  9. WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting
  10. HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
  11. Learning Size and Shape of Calabi-Yau Spaces
  12. Practical and Light-weight Secure Aggregation for Federated Submodel Learning
  13. Deductive Association Networks
  14. A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation
  15. Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning
  16. A Review of Dialogue Systems: From Trained Monkeys to Stochastic Parrots
  17. Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters
  18. Integrating Pretrained Language Model for Dialogue Policy Learning
  19. Boundary Distribution Estimation for Precise Object Detection
  20. Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
  21. Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
  22. Time Series Comparisons in Deep Space Network
  23. Overlapping and nonoverlapping models
  24. Understanding Entropic Regularization in GANs
  25. A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks
  26. Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy
  27. FedGraph: Federated Graph Learning with Intelligent Sampling
  28. Improved Loss Function-Based Prediction Method of Extreme Temperatures in Greenhouses
  29. Learning to Explore by Reinforcement over High-Level Options
  30. Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
  31. DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
  32. Can Vision Transformers Perform Convolution?
  33. Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks
  34. Constructing High-Order Signed Distance Maps from Computed Tomography Data with Application to Bone Morphometry
  35. Faster Algorithms for Learning Convex Functions
  36. Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
  37. Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
  38. Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
  39. Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition
  40. Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective
  41. Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
  42. On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
  43. Asymptotic in a class of network models with an increasing sub-Gamma degree sequence