mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 18 Nov 2021

125 papers

  1. LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  2. Transformer-S2A: Robust and Efficient Speech-to-AnimationMixture-of-experts → Multimodal MoE models
  3. SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth EstimationKnowledge distillation → Detection and dense prediction distillation
  4. Enhanced Membership Inference Attacks against Machine Learning ModelsLLM safety and security → Membership inference attacks
  5. Semantic Interaction in Augmented Reality Environments for Microsoft HoloLens
  6. How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process
  7. How to Build Robust FAQ Chatbot with Controllable Question Generator?
  8. Universal Efficient Variable-rate Neural Image Compression
  9. Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making
  10. GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
  11. Self-Supervised Class Incremental Learning
  12. Improved Sample Complexity Bounds for Branch-and-Cut
  13. The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo
  14. Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation
  15. Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting
  16. M2A: Motion Aware Attention for Accurate Video Action Recognition
  17. COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles
  18. Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
  19. Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking -- An Application to COVID-19 severity
  20. Beyond NDCG: behavioral testing of recommender systems with RecList
  21. A Review of Adversarial Attack and Defense for Classification Methods
  22. Rethinking Dilated Convolution for Real-time Semantic Segmentation
  23. MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
  24. Correcting Face Distortion in Wide-Angle Videos
  25. Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes
  26. Constraint-based Diversification of JOP Gadgets
  27. Loss Functions for Discrete Contextual Pricing with Observational Data
  28. Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks
  29. Quality and Cost Trade-offs in Passage Re-ranking Task
  30. Visual Goal-Directed Meta-Learning with Contextual Planning Networks
  31. A transformer-based model for default prediction in mid-cap corporate markets
  32. Simple but Effective: CLIP Embeddings for Embodied AI
  33. PyTorchVideo: A Deep Learning Library for Video Understanding
  34. SimMIM: A Simple Framework for Masked Image Modeling
  35. Rate-optimal Bayesian Simple Regret in Best Arm Identification
  36. Assisted Robust Reward Design
  37. Swin Transformer V2: Scaling Up Capacity and Resolution
  38. Restormer: Efficient Transformer for High-Resolution Image Restoration
  39. One-Shot Generative Domain Adaptation
  40. A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry
  41. A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain
  42. Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
  43. The Effects of Learning in Morphologically Evolving Robot Systems
  44. Edge-preserving Domain Adaptation for semantic segmentation of Medical Images
  45. Training Neural Networks with Fixed Sparse Masks
  46. Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Text
  47. TransMix: Attend to Mix for Vision Transformers
  48. Merging Models with Fisher-Weighted Averaging
  49. Causal Forecasting:Generalization Bounds for Autoregressive Models
  50. Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
  51. Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings
  52. DICE: Leveraging Sparsification for Out-of-Distribution Detection
  53. Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates
  54. Boosting Supervised Learning Performance with Co-training
  55. A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
  56. Unsupervised Online Learning for Robotic Interestingness with Visual Memory
  57. Supporting Undotted Arabic with Pre-trained Language Models
  58. MCCE: Monte Carlo sampling of realistic counterfactual explanations
  59. Near-Optimal Quantum Algorithms for Multivariate Mean Estimation
  60. DIVA: Dataset Derivative of a Learning Task
  61. Locally Learned Synaptic Dropout for Complete Bayesian Inference
  62. Wiggling Weights to Improve the Robustness of Classifiers
  63. Complex Terrain Navigation via Model Error Prediction
  64. Hybrid Super Intelligence and Polymetric Analysis
  65. CSI Clustering with Variational Autoencoding
  66. Detecting Cross-Language Plagiarism using Open Knowledge Graphs
  67. The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
  68. Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance
  69. Interactive segmentation using U-Net with weight map and dynamic user interactions
  70. ClipCap: CLIP Prefix for Image Captioning
  71. Perceiving and Modeling Density is All You Need for Image Dehazing
  72. From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits
  73. You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
  74. A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
  75. CCSL: A Causal Structure Learning Method from Multiple Unknown Environments
  76. CLMB: deep contrastive learning for robust metagenomic binning
  77. Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length
  78. Towards Intelligibility-Oriented Audio-Visual Speech Enhancement
  79. Evaluating Transformers for Lightweight Action Recognition
  80. Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction
  81. A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion
  82. Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
  83. Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model
  84. Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data
  85. IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
  86. SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
  87. To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP
  88. Improving Transferability of Representations via Augmentation-Aware Self-Supervision
  89. How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task
  90. Automatic Expansion and Retargeting of Arabic Offensive Language Training
  91. Person Re-identification Method Based on Color Attack and Joint Defence
  92. LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model
  93. COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
  94. Adaptive Shrink-Mask for Text Detection
  95. C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations
  96. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
  97. Deep neural networks-based denoising models for CT imaging and their efficacy
  98. The Prominence of Artificial Intelligence in COVID-19
  99. DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior
  100. Learning Modified Indicator Functions for Surface Reconstruction
All 125
  1. SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
  2. Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level Estimation
  3. How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN
  4. Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population
  5. Blind VQA on 360deg Video via Progressively Learning from Pixels, Frames and Video
  6. Docking-based Virtual Screening with Multi-Task Learning
  7. Dynamically pruning segformer for efficient semantic segmentation
  8. Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with Camera
  9. Developing a Machine Learning Algorithm-Based Classification Models for the Detection of High-Energy Gamma Particles
  10. Reference-based Magnetic Resonance Image Reconstruction Using Texture Transformer
  11. Data-driven discoveries of B"acklund transforms and soliton evolution equations via deep neural network learning schemes
  12. Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation
  13. A Novel Optimized Asynchronous Federated Learning Framework
  14. Linking-Enhanced Pre-Training for Table Semantic Parsing
  15. 3D Lip Event Detection via Interframe Motion Divergence at Multiple Temporal Resolutions
  16. Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns
  17. Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines
  18. CSI: Contrastive Data Stratification for Interaction Prediction and its Application to Compound-Protein Interaction Prediction
  19. Self-Attending Task Generative Adversarial Network for Realistic Satellite Image Creation
  20. Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
  21. Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks
  22. Gradient flows on graphons: existence, convergence, continuity equations
  23. RoBERTuito: a pre-trained language model for social media text in Spanish
  24. Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
  25. Benchmarking and scaling of deep learning models for land cover image classification