mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 5 Jul 2021

164 papers

  1. SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  2. The Least Restriction for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  3. Beyond the Hausdorff Metric in Digital Topology
  4. GuavaNet: A deep neural network architecture for automatic sensory evaluation to predict degree of acceptability for Guava by a consumer
  5. Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models
  6. Assign Hysteresis Parameter For Ericsson BTS Power Saving Algorithm Using Unsupervised Learning
  7. Inferring the Structure of Ordinary Differential Equations
  8. DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
  9. Elastic Graph Neural Networks
  10. Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting
  11. A Review-based Taxonomy for Secure Health Care Monitoring: Wireless Smart Cameras
  12. Application of artificial intelligence techniques for automated detection of myocardial infarction: A review
  13. Multi-modality Deep Restoration of Extremely Compressed Face Videos
  14. Oriental Language Recognition (OLR) 2020: Summary and Analysis
  15. Towards solving the 7-in-a-row game
  16. The Multi-phase spatial meta-heuristic algorithm for public health emergency transportation
  17. Statistical Modelling of Level Difficulty in Puzzle Games
  18. Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey
  19. Particle Convolution for High Energy Physics
  20. An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
  21. Quantum Annealing Formulation for Binary Neural Networks
  22. Memory-Sample Lower Bounds for Learning Parity with Noise
  23. Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
  24. The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
  25. A visual introduction to Gaussian Belief Propagation
  26. Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity
  27. LightFuse: Lightweight CNN based Dual-exposure Fusion
  28. Knowledge Modelling and Active Learning in Manufacturing
  29. A Review of Explainable Artificial Intelligence in Manufacturing
  30. What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
  31. Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology
  32. Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
  33. Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
  34. Clustering Structure of Microstructure Measures
  35. Weakly Supervised Named Entity Tagging with Learnable Logical Rules
  36. DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy
  37. Design Smells in Deep Learning Programs: An Empirical Study
  38. "Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
  39. Sarcasm Detection: A Comparative Study
  40. PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels
  41. Dueling Bandits with Adversarial Sleeping
  42. Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
  43. Near-optimal inference in adaptive linear regression
  44. VolNet: Estimating Human Body Part Volumes from a Single RGB Image
  45. Generalization by design: Shortcuts to Generalization in Deep Learning
  46. A comparison of LSTM and GRU networks for learning symbolic sequences
  47. Experiments with adversarial attacks on text genres
  48. Vision Xformers: Efficient Attention for Image Classification
  49. Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
  50. End-to-End Weak Supervision
  51. A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations
  52. Meta-learning Amidst Heterogeneity and Ambiguity
  53. Graph Convolution for Re-ranking in Person Re-identification
  54. Featurized Density Ratio Estimation
  55. Automated age-related macular degeneration area estimation -- first results
  56. An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development
  57. Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
  58. Long-Short Transformer: Efficient Transformers for Language and Vision
  59. TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
  60. Label noise in segmentation networks : mitigation must deal with bias
  61. What Makes for Hierarchical Vision Transformer?
  62. Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
  63. On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
  64. DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data
  65. Conditional Identity Disentanglement for Differential Face Morph Detection
  66. Do Different Tracking Tasks Require Different Appearance Models?
  67. FaVIQ: FAct Verification from Information-seeking Questions
  68. Multivariate functional group sparse regression: functional predictor selection
  69. Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context
  70. Feature Cross Search via Submodular Optimization
  71. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
  72. Test-Time Personalization with a Transformer for Human Pose Estimation
  73. On Bi-gram Graph Attributes
  74. A Survey on Deep Learning Event Extraction: Approaches and Applications
  75. Semi-supervised Learning for Dense Object Detection in Retail Scenes
  76. Recovering the Unbiased Scene Graphs from the Biased Ones
  77. Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?
  78. RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
  79. Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints
  80. Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
  81. One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
  82. Analyzing Relevance Vector Machines using a single penalty approach
  83. Modeling Interactions of Multimodal Road Users in Shared Spaces
  84. fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection for Clustering
  85. Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo
  86. SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences
  87. Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
  88. Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation
  89. 6D Object Pose Estimation using Keypoints and Part Affinity Fields
  90. MixStyle Neural Networks for Domain Generalization and Adaptation
  91. Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning
  92. Understanding the Security of Deepfake Detection
  93. No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models
  94. A Knowledge-based Approach for Answering Complex Questions in Persian
  95. A topological solution to object segmentation and tracking
  96. FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects
  97. Fast and Scalable Optimal Transport for Brain Tractograms
  98. Improving a neural network model by explanation-guided training for glioma classification based on MRI data
  99. FINT: Field-aware INTeraction Neural Network For CTR Prediction
  100. Template-Based Graph Clustering
All 164
  1. UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
  2. Contradiction Detection in Persian Text
  3. Gradient Importance Learning for Incomplete Observations
  4. The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task
  5. Gaze Estimation with an Ensemble of Four Architectures
  6. Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
  7. The MineRL BASALT Competition on Learning from Human Feedback
  8. Universal Approximation of Functions on Sets
  9. Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving
  10. Partition and Code: learning how to compress graphs
  11. When and How to Fool Explainable Models (and Humans) with Adversarial Examples
  12. Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
  13. Android Malware Category and Family Detection and Identification using Machine Learning
  14. Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities
  15. The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities
  16. Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring
  17. Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
  18. SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification
  19. On The Distribution of Penultimate Activations of Classification Networks
  20. Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image
  21. Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
  22. Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data
  23. NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC
  24. OPA: Object Placement Assessment Dataset
  25. Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
  26. Robust Online Convex Optimization in the Presence of Outliers
  27. Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
  28. Which Invariance Should We Transfer? A Causal Minimax Learning Approach
  29. DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
  30. Detecting Concept Drift With Neural Network Model Uncertainty
  31. Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words
  32. Towards Better Adversarial Synthesis of Human Images from Text
  33. Control of rough terrain vehicles using deep reinforcement learning
  34. A Deep Transfer Learning Approach on Identifying Glitch Wave-form in Gravitational Wave Data
  35. Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
  36. Winning at Any Cost -- Infringing the Cartel Prohibition With Reinforcement Learning
  37. Poisoning Attack against Estimating from Pairwise Comparisons
  38. Matching a Desired Causal State via Shift Interventions
  39. Differentially Private Sliced Wasserstein Distance
  40. GraspME -- Grasp Manifold Estimator
  41. Fast Rate Learning in Stochastic First Price Bidding
  42. Provable Convergence of Nesterov's Accelerated Gradient Method for Over-Parameterized Neural Networks
  43. ARM-Net: Adaptive Relation Modeling Network for Structured Data
  44. A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures
  45. Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
  46. Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision
  47. An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data
  48. Web-Scale Generic Object Detection at Microsoft Bing
  49. Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
  50. Why is Pruning at Initialization Immune to Reinitializing and Shuffling?
  51. Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
  52. Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems
  53. Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering
  54. An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains
  55. Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
  56. Multi-View Correlation Distillation for Incremental Object Detection
  57. Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision
  58. A contextual analysis of multi-layer perceptron models in classifying hand-written digits and letters: limited resources
  59. Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection
  60. Optimal Binary Classification Beyond Accuracy
  61. Continual Contrastive Learning for Image Classification
  62. Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
  63. Learning Geometric Combinatorial Optimization Problems using Self-attention and Domain Knowledge
  64. Dynamic programming by polymorphic semiring algebraic shortcut fusion