mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 27 Jul 2021

142 papers

  1. AASeg: Attention Aware Network for Real Time Semantic Segmentation
  2. Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge
  3. Scalable Community Detection via Parallel Correlation Clustering
  4. Sea Ice Forecasting using Attention-based Ensemble LSTM
  5. Resisting Out-of-Distribution Data Problem in Perturbation of XAI
  6. Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary
  7. PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
  8. A Tale Of Two Long Tails
  9. Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
  10. Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
  11. DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
  12. On Improving the Backjump Level in PB Solvers
  13. Is Object Detection Necessary for Human-Object Interaction Recognition?
  14. A Payload Optimization Method for Federated Recommender Systems
  15. Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
  16. End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
  17. A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC)
  18. Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
  19. Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
  20. Exceeding the Limits of Visual-Linguistic Multi-Task Learning
  21. Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
  22. MixFaceNets: Extremely Efficient Face Recognition Networks
  23. A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
  24. Dataset Distillation with Infinitely Wide Convolutional Networks
  25. Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
  26. A New Split for Evaluating True Zero-Shot Action Recognition
  27. Predictive Coding: a Theoretical and Experimental Review
  28. Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
  29. The social dilemma in artificial intelligence development and why we have to solve it
  30. Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
  31. Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
  32. A Physiologically-Adapted Gold Standard for Arousal during Stress
  33. Enriching Local and Global Contexts for Temporal Action Localization
  34. Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
  35. Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms
  36. Reinforcement Learning with Formal Performance Metrics for Quadcopter Attitude Control under Non-nominal Contexts
  37. Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm
  38. Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
  39. Autonomous Reinforcement Learning via Subgoal Curricula
  40. gaBERT -- an Irish Language Model
  41. Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
  42. Emotion Stimulus Detection in German News Headlines
  43. Transfer Learning in Electronic Health Records through Clinical Concept Embedding
  44. Experiments on Properties of Hidden Structures of Sparse Neural Networks
  45. Initial Foundation for Predicting Individual Earthquake's Location and Magnitude by Using Glass-Box Physics Rule Learner
  46. Sparse Bayesian Deep Learning for Dynamic System Identification
  47. StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
  48. Emotion Recognition under Consideration of the Emotion Component Process Model
  49. Subset selection for linear mixed models
  50. Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)
  51. Efficient TBox Reasoning with Value Restrictions using the FLower reasoner
  52. PDF-Malware: An Overview on Threats, Detection and Evasion Attacks
  53. Model Free Barrier Functions via Implicit Evading Maneuvers
  54. Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach
  55. RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
  56. Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
  57. Neural Network Branch-and-Bound for Neural Network Verification
  58. Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
  59. Task and Situation Structures for Service Agent Planning
  60. Learning Local Recurrent Models for Human Mesh Recovery
  61. A Storytelling Robot managing Persuasive and Ethical Stances via ACT-R: an Exploratory Study
  62. Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
  63. Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
  64. Adversarial Stacked Auto-Encoders for Fair Representation Learning
  65. Individual Survival Curves with Conditional Normalizing Flows
  66. A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
  67. Adaptive Denoising via GainTuning
  68. Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
  69. Open-Ended Learning Leads to Generally Capable Agents
  70. HPTMT: Operator-Based Architecture for Scalable High-Performance Data-Intensive Frameworks
  71. Towards Industrial Private AI: A two-tier framework for data and model security
  72. Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method
  73. Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
  74. Statistical Guarantees for Fairness Aware Plug-In Algorithms
  75. Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
  76. Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition
  77. Discriminative-Generative Representation Learning for One-Class Anomaly Detection
  78. Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
  79. Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System
  80. ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
  81. Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
  82. The CORSMAL benchmark for the prediction of the properties of containers
  83. Reason Against the Machine: Future Directions for Mass Online Deliberation
  84. QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
  85. DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization
  86. Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces
  87. Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders
  88. Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features
  89. A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
  90. On the Role of Optimization in Double Descent: A Least Squares Study
  91. MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
  92. Deep Variational Models for Collaborative Filtering-based Recommender Systems
  93. Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection
  94. Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting
  95. COPS: Controlled Pruning Before Training Starts
  96. Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
  97. Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
  98. Continual Learning with Neuron Activation Importance
  99. MKConv: Multidimensional Feature Representation for Point Cloud Analysis
  100. Co-Transport for Class-Incremental Learning
All 142
  1. Greedy Gradient Ensemble for Robust Visual Question Answering
  2. Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera
  3. Unsupervised Outlier Detection using Memory and Contrastive Learning
  4. Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
  5. Learning to Estimate RIS-Aided mmWave Channels
  6. Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
  7. Cross-lingual Transferring of Pre-trained Contextualized Language Models
  8. Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
  9. Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
  10. Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
  11. VIPose: Real-time Visual-Inertial 6D Object Pose Tracking
  12. Measuring daily-life fear perception change: a computational study in the context of COVID-19
  13. Image Scene Graph Generation (SGG) Benchmark
  14. Federated Learning Meets Natural Language Processing: A Survey
  15. PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution
  16. Identify Apple Leaf Diseases Using Deep Learning Algorithm
  17. Template-based Chatbot for Agriculture Related FAQs
  18. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
  19. Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
  20. Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
  21. Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
  22. Remember What You have drawn: Semantic Image Manipulation with Memory
  23. Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
  24. CCGL: Contrastive Cascade Graph Learning
  25. CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
  26. Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
  27. Parallel Detection for Efficient Video Analytics at the Edge
  28. Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis
  29. Perception-and-Regulation Network for Salient Object Detection
  30. DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
  31. Probing neural networks with t-SNE, class-specific projections and a guided tour
  32. Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
  33. Energy-based Unknown Intent Detection with Data Manipulation
  34. BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
  35. A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition
  36. A Data-Driven Biophysical Computational Model of Parkinson's Disease based on Marmoset Monkeys
  37. Toward Co-creative Dungeon Generation via Transfer Learning
  38. Generating Lode Runner Levels by Learning Player Paths with LSTMs
  39. Convergence of Deep ReLU Networks
  40. Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks
  41. Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
  42. Ensemble Learning For Mega Man Level Generation