mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 26 Jul 2021

142 papers

  1. Text is Text, No Matter What: Unifying Text Recognition using Knowledge DistillationKnowledge distillation → Multimodal distillation
  2. Learning from Successful and Failed Demonstrations via OptimizationOffline RL and imitation learning from data → Robot learning from demonstration
  3. Hierarchical Latent Relation Modeling for Collaborative Metric Learning
  4. Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
  5. An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs
  6. An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning
  7. Vowel-based Meeteilon dialect identification using a Random Forest classifier
  8. Fully Homomorphically Encrypted Deep Learning as a Service
  9. Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
  10. Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
  11. Clickbait Detection in YouTube Videos
  12. Physics-constrained Deep Learning for Robust Inverse ECG Modeling
  13. Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey
  14. Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP
  15. Language Grounding with 3D Objects
  16. H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
  17. Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
  18. TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games
  19. Adversarial Random Forest Classifier for Automated Game Design
  20. CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
  21. LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
  22. Circular-Symmetric Correlation Layer based on FFT
  23. Adversarial Attacks with Time-Scale Representations
  24. SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
  25. High-Dimensional Distribution Generation Through Deep Neural Networks
  26. Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
  27. Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
  28. Combining Reward and Rank Signals for Slate Recommendation
  29. Accelerated Gradient Descent Learning over Multiple Access Fading Channels
  30. Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
  31. Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition
  32. A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
  33. The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
  34. MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
  35. Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning
  36. Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
  37. Parallel Surrogate-assisted Optimization Using Mesh Adaptive Direct Search
  38. Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
  39. Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
  40. Geometric Deep Learning on Molecular Representations
  41. Improve Unsupervised Pretraining for Few-label Transfer
  42. Inference for Heteroskedastic PCA with Missing Data
  43. Plugin Estimation of Smooth Optimal Transport Maps
  44. Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
  45. NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
  46. Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
  47. Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
  48. Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
  49. AASAE: Augmentation-Augmented Stochastic Autoencoders
  50. HW2VEC: A Graph Learning Tool for Automating Hardware Security
  51. From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
  52. MLDev: Data Science Experiment Automation and Reproducibility Software
  53. MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification
  54. End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
  55. Spatial-Temporal Transformer for Dynamic Scene Graph Generation
  56. Revisiting Catastrophic Forgetting in Class Incremental Learning
  57. In Defense of the Learning Without Forgetting for Task Incremental Learning
  58. Enhanced Bilevel Optimization via Bregman Distance
  59. A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
  60. Contextual Transformer Networks for Visual Recognition
  61. B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
  62. Continental-Scale Building Detection from High Resolution Satellite Imagery
  63. Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
  64. Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
  65. The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
  66. Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
  67. Are Bayesian neural networks intrinsically good at out-of-distribution detection?
  68. Protein-RNA interaction prediction with deep learning: Structure matters
  69. Belief Propagation as Diffusion
  70. DYPLODOC: Dynamic Plots for Document Classification
  71. Local2Global: Scaling global representation learning on graphs via local training
  72. Thought Flow Nets: From Single Predictions to Trains of Model Thought
  73. Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
  74. Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
  75. Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
  76. A General Theory for Client Sampling in Federated Learning
  77. Image-Based Parking Space Occupancy Classification: Dataset and Baseline
  78. Revisiting Negation in Neural Machine Translation
  79. Accelerating Video Object Segmentation with Compressed Video
  80. An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
  81. Exploiting Language Model for Efficient Linguistic Steganalysis
  82. Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects
  83. Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
  84. AA3DNet: Attention Augmented Real Time 3D Object Detection
  85. Fine-Grained Emotion Prediction by Modeling Emotion Definitions
  86. Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
  87. Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
  88. Global optimization using random embeddings
  89. Predicting Influential Higher-Order Patterns in Temporal Network Data
  90. Towards Unbiased Visual Emotion Recognition via Causal Intervention
  91. A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images
  92. Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
  93. Multilingual Coreference Resolution with Harmonized Annotations
  94. Learning to Adversarially Blur Visual Object Tracking
  95. Towards the Unseen: Iterative Text Recognition by Distilling from Errors
  96. An Argumentative Dialogue System for COVID-19 Vaccine Information
  97. 6DCNN with roto-translational convolution filters for volumetric data processing
  98. Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
  99. Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs
  100. How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
All 142
  1. Predicting Game Engagement and Difficulty Using AI Players
  2. HANet: Hierarchical Alignment Networks for Video-Text Retrieval
  3. Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
  4. Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging
  5. SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification
  6. Decentralized Federated Learning: Balancing Communication and Computing Costs
  7. 3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
  8. How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
  9. Neural Video Compression using GANs for Detail Synthesis and Propagation
  10. Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networks
  11. Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio
  12. Parametric Contrastive Learning
  13. ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
  14. Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
  15. Language Models as Zero-shot Visual Semantic Learners
  16. Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images
  17. A Shallow Ritz Method for Elliptic Problems with Singular Sources
  18. Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
  19. Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations
  20. Stable Dynamic Mode Decomposition Algorithm for Noisy Pressure-Sensitive Paint Measurement Data
  21. HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
  22. What Remains of Visual Semantic Embeddings
  23. Augmentation Pathways Network for Visual Recognition
  24. Benign Adversarial Attack: Tricking Models for Goodness
  25. Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
  26. One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
  27. A Transductive Maximum Margin Classifier for Few-Shot Learning
  28. Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
  29. Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph
  30. Playtesting: What is Beyond Personas
  31. Temporal Alignment Prediction for Few-Shot Video Classification
  32. Preliminary Steps Towards Federated Sentiment Classification
  33. Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
  34. Dissecting FLOPs along input dimensions for GreenAI cost estimations
  35. A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation
  36. Log-Polar Space Convolution for Convolutional Neural Networks
  37. Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
  38. On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
  39. Compensation Learning
  40. CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images
  41. ICDAR 2021 Competition on Scene Video Text Spotting
  42. Measuring Ethics in AI with AI: A Methodology and Dataset Construction