mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 1 Nov 2021

186 papers

  1. Learning Distilled Collaboration Graph for Multi-Agent PerceptionKnowledge distillation → General knowledge distillation methods
  2. Stress field prediction in fiber-reinforced composite materials using a deep learning approach
  3. ParsiNorm: A Persian Toolkit for Speech Processing Normalization
  4. Learning Large Neighborhood Search Policy for Integer Programming
  5. Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction
  6. RADAMS: Resilient and Adaptive Alert and Attention Management Strategy against Informational Denial-of-Service (IDoS) Attacks
  7. Numerical Approximation in CFD Problems Using Physics Informed Machine Learning
  8. Decoupled coordinates for machine learning-based molecular fragment linking
  9. Self-Supervised Radio-Visual Representation Learning for 6G Sensing
  10. Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
  11. Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
  12. Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
  13. Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
  14. Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives
  15. Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection
  16. Provably efficient, succinct, and precise explanations
  17. Evaluating deep transfer learning for whole-brain cognitive decoding
  18. Sub-cortical structure segmentation database for young population
  19. Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
  20. PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification
  21. Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging
  22. Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study
  23. Masking Modalities for Cross-modal Video Retrieval
  24. Deep neural networks as nested dynamical systems
  25. Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration
  26. Multi network InfoMax: A pre-training method involving graph convolutional networks
  27. Network Clustering for Latent State and Changepoint Detection
  28. Sequence Transduction with Graph-based Supervision
  29. Brain dynamics via Cumulative Auto-Regressive Self-Attention
  30. Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modelling
  31. Human-Level Control without Server-Grade Hardware
  32. Minimax Optimization: The Case of Convex-Submodular
  33. Joint Detection of Motion Boundaries and Occlusions
  34. Implicit Model Specialization through DAG-based Decentralized Federated Learning
  35. Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
  36. Neural Scene Flow Prior
  37. Learning Eye-in-Hand Camera Calibration from a Single Image
  38. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
  39. Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
  40. Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions
  41. Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
  42. OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets
  43. Identifying causal relations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021
  44. A framework for causal segmentation analysis with machine learning in large-scale digital experiments
  45. Kernel Deformed Exponential Families for Sparse Continuous Attention
  46. Robust Federated Learning via Over-The-Air Computation
  47. Learning To Generate Piano Music With Sustain Pedals
  48. Gradient Frequency Modulation for Visually Explaining Video Understanding Models
  49. Sig-Wasserstein GANs for Time Series Generation
  50. Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset
  51. One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
  52. Unintended Selection: Persistent Qualification Rate Disparities and Interventions
  53. Transformers for prompt-level EMA non-response prediction
  54. Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
  55. Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
  56. Dynamics of Local Elasticity During Training of Neural Nets
  57. Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models
  58. ASMDD: Arabic Speech Mispronunciation Detection Dataset
  59. Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
  60. Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy
  61. When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
  62. Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"
  63. Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
  64. Resource-Efficient Federated Learning
  65. FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos
  66. NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters
  67. Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
  68. Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code
  69. Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy
  70. FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
  71. ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
  72. SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
  73. FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes
  74. OctField: Hierarchical Implicit Functions for 3D Modeling
  75. Learning to Assimilate in Chaotic Dynamical Systems
  76. MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
  77. Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification
  78. STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
  79. Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  80. A Unified View of cGANs with and without Classifiers
  81. Render In-between: Motion Guided Video Synthesis for Action Interpolation
  82. Introspective Distillation for Robust Question Answering
  83. With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition
  84. Interpretable contrastive word mover's embedding
  85. Dropout in Training Neural Networks: Flatness of Solution and Noise Structure
  86. Gomoku: analysis of the game and of the player Wine
  87. Projected GANs Converge Faster
  88. Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling
  89. PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning
  90. Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
  91. Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion
  92. Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
  93. Partial-Adaptive Submodular Maximization
  94. Cross-lingual Hate Speech Detection using Transformer Models
  95. Mixture Proportion Estimation and PU Learning: A Modern Approach
  96. Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
  97. A transfer learning based approach for pronunciation scoring
  98. Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding
  99. Hex2vec -- Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags
  100. Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
All 186
  1. VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection
  2. iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
  3. Machine Learning aided Crop Yield Optimization
  4. RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
  5. Robustness of deep learning algorithms in astronomy -- galaxy morphology studies
  6. gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions
  7. Robot Learning from Randomized Simulations: A Review
  8. Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation
  9. Nested Multiple Instance Learning with Attention Mechanisms
  10. Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection
  11. Bounds all around: training energy-based models with bidirectional bounds
  12. Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
  13. PCA-based Multi Task Learning: a Random Matrix Approach
  14. DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
  15. PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
  16. Availability Attacks Create Shortcuts
  17. Hierarchical Image Classification with A Literally Toy Dataset
  18. Intervention Efficient Algorithm for Two-Stage Causal MDPs
  19. Enhanced Language Representation with Label Knowledge for Span Extraction
  20. Benchmarks for Corruption Invariant Person Re-identification
  21. On the Expressivity of Markov Reward
  22. Large-Scale Deep Learning Optimizations: A Comprehensive Survey
  23. Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis
  24. How I Learned to Stop Worrying and Love Retraining
  25. Free Probability for predicting the performance of feed-forward fully connected neural networks
  26. Expanding Multi-Market Monopoly and Nonconcavity in the Value of Information
  27. Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM
  28. Swift sky localization of gravitational waves using deep learning seeded importance sampling
  29. Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results
  30. Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
  31. LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition
  32. Towards Reformulating Essence Specifications for Robustness
  33. Statistical quantification of confounding bias in predictive modelling
  34. Unsupervised Discovery of Unaccusative and Unergative Verbs
  35. Livestock Monitoring with Transformer
  36. Geodesic Models with Convexity Shape Prior
  37. A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learning
  38. Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach
  39. Knowledge-driven Site Selection via Urban Knowledge Graph
  40. An AI-powered Smart Routing Solution for Payment Systems
  41. Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
  42. Pseudo-Spherical Contrastive Divergence
  43. PP-ShiTu: A Practical Lightweight Image Recognition System
  44. AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
  45. Dense Prediction with Attentive Feature Aggregation
  46. A New Tool for Efficiently Generating Quality Estimation Datasets
  47. Validate on Sim, Detect on Real -- Model Selection for Domain Randomization
  48. Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
  49. Single-Item Fashion Recommender: Towards Cross-Domain Recommendations
  50. Few-shot learning with improved local representations via bias rectify module
  51. Uncertainty quantification for ptychography using normalizing flows
  52. Towards the Generalization of Contrastive Self-Supervised Learning
  53. Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
  54. Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
  55. URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
  56. Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
  57. Robust Deep Learning from Crowds with Belief Propagation
  58. Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs
  59. Learning Iterative Robust Transformation Synchronization
  60. Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
  61. Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks
  62. Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
  63. Comparative Study of Long Document Classification
  64. Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
  65. Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study
  66. RMNet: Equivalently Removing Residual Connection from Networks
  67. Graph Structural Attack by Perturbing Spectral Distance
  68. GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing
  69. Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
  70. Domain-adaptation of spherical embeddings
  71. Distilling Object Detectors with Feature Richness
  72. Comparative Explanations of Recommendations
  73. Unsupervised Domain Adaptation with Adapter
  74. Self-Verification in Image Denoising
  75. Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset
  76. Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection
  77. RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
  78. TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios
  79. Collage: Seamless Integration of Deep Learning Backends with Automatic Placement
  80. SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
  81. Accurate Point Cloud Registration with Robust Optimal Transport
  82. VSEC: Transformer-based Model for Vietnamese Spelling Correction
  83. End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
  84. To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
  85. Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning
  86. Learning Safety Filters for Unknown Discrete-Time Linear Systems