mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 30 Oct 2022

102 papers

  1. Changes from Classical Statistics to Modern Statistics and Data ScienceDiffusion models → Diffusion foundations and sampling
  2. Transfer Learning with Synthetic Corpora for Spatial Role Labeling and ReasoningLLM reasoning → Spatial and embodied reasoning +1
  3. Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive GamesOffline RL and imitation learning from data → Imitation learning methods
  4. DiffusER: Discrete Diffusion via Edit-based ReconstructionDiffusion models → Discrete and text diffusion
  5. SRTNet: Time Domain Speech Enhancement Via Stochastic RefinementDiffusion models → Audio, speech and music
  6. An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksRetrieval-augmented generation → Generation and context integration
  7. Prediction Sets for High-Dimensional Mixture of Experts ModelsMixture-of-experts → MoE theory and gating functions
  8. Fine-Grained Emotional Paraphrasing along Emotion Gradients
  9. Spatio-Temporal Attention in Multi-Granular Brain Chronnectomes for Detection of Autism Spectrum Disorder
  10. Regimes of charged particle dynamics in current sheets: the machine learning approach
  11. PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing
  12. Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity
  13. Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting
  14. Uncertainty-DTW for Time Series and Sequences
  15. Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks
  16. MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection
  17. A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography
  18. Validity Assessment of Legal Will Statements as Natural Language Inference
  19. When Do We Need Graph Neural Networks for Node Classification?
  20. XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
  21. Representation Learning for General-sum Low-rank Markov Games
  22. Semantic-Native Communication: A Simplicial Complex Perspective
  23. Interpretable Geometric Deep Learning via Learnable Randomness Injection
  24. Learning Heuristics for the Maximum Clique Enumeration Problem Using Low Dimensional Representations
  25. Multilingual Multimodality: A Taxonomical Survey of Datasets, Techniques, Challenges and Opportunities
  26. Reward Shaping Using Convolutional Neural Network
  27. Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
  28. Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings
  29. Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
  30. Decentralized Channel Management in WLANs with Graph Neural Networks
  31. Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction
  32. ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis
  33. FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs
  34. A view on model misspecification in uncertainty quantification
  35. Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
  36. Context-empowered Visual Attention Prediction in Pedestrian Scenarios
  37. FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
  38. OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based Active Fire Data
  39. See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring
  40. Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones
  41. FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks
  42. Revisiting Simple Regret: Fast Rates for Returning a Good Arm
  43. DyG2Vec: Efficient Representation Learning for Dynamic Graphs
  44. Atlas: Automate Online Service Configuration in Network Slicing
  45. Foreign Object Debris Detection for Airport Pavement Images based on Self-supervised Localization and Vision Transformer
  46. High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)
  47. Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
  48. Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection
  49. Distributionally Robust Domain Adaptation
  50. Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
  51. A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
  52. On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
  53. Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
  54. A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
  55. Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
  56. Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum
  57. A Solvable Model of Neural Scaling Laws
  58. Medical Codes Prediction from Clinical Notes: From Human Coders to Machines
  59. Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings
  60. 1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION
  61. Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
  62. A Pipeline for Analysing Grant Applications
  63. Actionable Phrase Detection using NLP
  64. Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
  65. Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
  66. Variance reduced Shapley value estimation for trustworthy data valuation
  67. Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
  68. Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation
  69. Towards Versatile Embodied Navigation
  70. Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
  71. CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format
  72. SL3D: Self-supervised-Self-labeled 3D Recognition
  73. The Florence 4D Facial Expression Dataset
  74. Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
  75. Two-Level Temporal Relation Model for Online Video Instance Segmentation
  76. Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo Cancellation with Supervised Contrastive Learning
  77. One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization
  78. STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
  79. Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
  80. Explainable Predictive Decision Mining for Operational Support
  81. Unsupervised Learning of Structured Representations via Closed-Loop Transcription
  82. Recognizing Handwriting Styles in a Historical Scanned Document Using Unsupervised Fuzzy Clustering
  83. Symmetric Saliency-based Adversarial Attack To Speaker Identification
  84. Saliency Can Be All You Need In Contrastive Self-Supervised Learning
  85. Nonlinear Causal Discovery via Kernel Anchor Regression
  86. Dataset Distillation via Factorization
  87. Parameter-Efficient Tuning Makes a Good Classification Head
  88. Benchmarking Adversarial Patch Against Aerial Detection
  89. token2vec: A Joint Self-Supervised Pre-training Framework Using Unpaired Speech and Text
  90. Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
  91. Formalizing Statistical Causality via Modal Logic
  92. On-the-fly Object Detection using StyleGAN with CLIP Guidance
  93. Search to Pass Messages for Temporal Knowledge Graph Completion
  94. DuDe: Dual-Decoder Multilingual ASR for Indian Languages using Common Label Set
  95. Online Convex Optimization with Long Term Constraints for Predictable Sequences
  96. How Far are We from Robust Long Abstractive Summarization?
  97. Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification
  98. Graph Fuzzy System: Concepts, Models and Algorithms
  99. ISG: I can See Your Gene Expression
  100. QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
All 102
  1. Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
  2. Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network