mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 8 Oct 2022

110 papers

  1. STaSy: Score-based Tabular data SynthesisDiffusion models → Flow matching, time series and science
  2. Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World ModelWorld models → World models for autonomous driving +1
  3. Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-ExpertsMixture-of-experts → Expert routing strategies +1
  4. Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics
  5. Semantic Representations of Mathematical Expressions in a Continuous Vector Space
  6. A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion
  7. Enhanced vectors for top-k document retrieval in Question Answering
  8. Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals
  9. InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
  10. BLAB Reporter: Automated journalism covering the Blue Amazon
  11. A deep learning network with differentiable dynamic programming for retina OCT surface segmentation
  12. Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection
  13. Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
  14. Convolutional Neural Network-Based Image Watermarking using Discrete Wavelet Transform
  15. Sequential Ensembling for Semantic Segmentation
  16. Uplifting Message Passing Neural Network with Graph Original Information
  17. Generalized energy and gradient flow via graph framelets
  18. DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
  19. Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks
  20. Cognitive Models as Simulators: The Case of Moral Decision-Making
  21. MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN
  22. Convergence of the Backward Deep BSDE Method with Applications to Optimal Stopping Problems
  23. Towards Real-Time Temporal Graph Learning
  24. Leveraging progressive model and overfitting for efficient learned image compression
  25. Visual Looming from Motion Field and Surface Normals
  26. Comparing Computational Architectures for Automated Journalism
  27. The effect of variable labels on deep learning models trained to predict breast density
  28. KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
  29. Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
  30. PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design
  31. How do you go where? Improving next location prediction by learning travel mode information using transformers
  32. Advancing Model Pruning via Bi-level Optimization
  33. Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains
  34. Symmetry Defense Against CNN Adversarial Perturbation Attacks
  35. Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis
  36. Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
  37. Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
  38. Robustness of Unsupervised Representation Learning without Labels
  39. Are All Steps Equally Important? Benchmarking Essentiality Detection of Events
  40. On Task-Adaptive Pretraining for Dialogue Response Selection
  41. Flow-based GAN for 3D Point Cloud Generation from a Single Image
  42. FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems
  43. Multi-Modal Human Authentication Using Silhouettes, Gait and RGB
  44. Motion Planning on Visual Manifolds
  45. Computing non-equilibrium trajectories by a deep learning approach
  46. Almost-lossless compression of a low-rank random tensor
  47. EDU-level Extractive Summarization with Varying Summary Lengths
  48. Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing
  49. Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
  50. Multi-Task Dynamical Systems
  51. Fast-ParC: Capturing Position Aware Global Feature for ConvNets and ViTs
  52. AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
  53. (Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation
  54. Dynamically meeting performance objectives for multiple services on a service mesh
  55. Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
  56. ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
  57. Relational Message Passing for Fully Inductive Knowledge Graph Completion
  58. Generative Language Models for Paragraph-Level Question Generation
  59. Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
  60. Bird-Eye Transformers for Text Generation Models
  61. Ball-and-socket joint pose estimation using magnetic field
  62. Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
  63. FBNet: Feedback Network for Point Cloud Completion
  64. An Ordinal Latent Variable Model of Conflict Intensity
  65. KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification
  66. Kernel-based Substructure Exploration for Next POI Recommendation
  67. A Survey on Extreme Multi-label Learning
  68. Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
  69. SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
  70. Dynamic Tensor Product Regression
  71. Robust Graph Structure Learning via Multiple Statistical Tests
  72. Contact-aware Human Motion Forecasting
  73. Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
  74. Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation
  75. ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition
  76. ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction
  77. Understanding HTML with Large Language Models
  78. Point Cloud Upsampling via Cascaded Refinement Network
  79. Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
  80. Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
  81. Cloud Native Robotic Applications with GPU Sharing on Kubernetes
  82. Hierarchical Graph Transformer with Adaptive Node Sampling
  83. EgoTaskQA: Understanding Human Tasks in Egocentric Videos
  84. APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
  85. Contextual Modeling for 3D Dense Captioning on Point Clouds
  86. Sparse Teachers Can Be Dense with Knowledge
  87. Data Selection: A General Principle for Building Small Interpretable Models
  88. Detecting Label Errors in Token Classification Data
  89. CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation
  90. Finding and Exploring Promising Search Space for the 0-1 Multidimensional Knapsack Problem
  91. Low Error-Rate Approximate Multiplier Design for DNNs with Hardware-Driven Co-Optimization
  92. Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding
  93. Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks
  94. A Higher Purpose: Measuring Electricity Access Using High-Resolution Daytime Satellite Imagery
  95. Learning the Network of Graphs for Graph Neural Networks
  96. LW-ISP: A Lightweight Model with ISP and Deep Learning
  97. Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU
  98. Multi-Scale Wavelet Transformer for Face Forgery Detection
  99. ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
  100. GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
All 110
  1. Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task
  2. Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness
  3. Rethinking the Detection Head Configuration for Traffic Object Detection
  4. Improving Data-Efficient Fossil Segmentation via Model Editing
  5. Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models
  6. TAME: Task Agnostic Continual Learning using Multiple Experts
  7. Towards Light Weight Object Detection System
  8. Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model
  9. AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
  10. Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition