mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 19 Mar 2021

109 papers

  1. Variational Knowledge Distillation for Disease Classification in Chest X-RaysKnowledge distillation → Distillation for medical imaging
  2. Online Lifelong Generalized Zero-Shot LearningKnowledge distillation → Distillation for continual learning
  3. Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
  4. A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems
  5. Implementation of Artificial Neural Networks for the Nepta-Uranian Interplanetary (NUIP) Mission
  6. GPNAS: A Neural Network Architecture Search Framework Based on Graphical Predictor
  7. ConDA: Continual Unsupervised Domain Adaptation
  8. A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest
  9. Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
  10. Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation
  11. TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
  12. Conceptual similarity and communicative need shape colexification: an experimental study
  13. Individually Fair Ranking
  14. Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares
  15. TDIOT: Target-driven Inference for Deep Video Object Tracking
  16. Video Class Agnostic Segmentation Benchmark for Autonomous Driving
  17. Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals
  18. AxonNet: A self-supervised Deep Neural Network for Intravoxel Structure Estimation from DW-MRI
  19. Differentially private inference via noisy optimization
  20. Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
  21. Self-Supervised Classification Network
  22. HDR Video Reconstruction with Tri-Exposure Quad-Bayer Sensors
  23. Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild
  24. Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network
  25. Accelerating GMRES with Deep Learning in Real-Time
  26. Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
  27. Learning Task Decomposition with Ordered Memory Policy Network
  28. Efficient Visual Pretraining with Contrastive Detection
  29. Paint by Word
  30. The Shape of Learning Curves: a Review
  31. Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
  32. BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
  33. Landscape analysis for shallow neural networks: complete classification of critical points for affine target functions
  34. Robustness via Cross-Domain Ensembles
  35. Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation
  36. Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
  37. Performance Analysis of Deep Learning Workloads on a Composable System
  38. IA Planner: Motion Planning Using Instantaneous Analysis for Autonomous Vehicle in the Dense Dynamic Scenarios on Highways
  39. Joint Parameter Discovery and Generative Modeling of Dynamic Systems
  40. Bilinear Classes: A Structural Framework for Provable Generalization in RL
  41. Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
  42. Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
  43. MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
  44. GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
  45. Toward Compact Deep Neural Networks via Energy-Aware Pruning
  46. Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
  47. From driving automation systems to autonomous vehicles: clarifying the terminology
  48. Prediction of progressive lens performance from neural network simulations
  49. Enhancing Robustness of On-line Learning Models on Highly Noisy Data
  50. Skeleton Merger: an Unsupervised Aligned Keypoint Detector
  51. Transferable Model for Shape Optimization subject to Physical Constraints
  52. Computational Emotion Analysis From Images: Recent Advances and Future Directions
  53. CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
  54. Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
  55. LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
  56. UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
  57. There and Back Again: Self-supervised Multispectral Correspondence Estimation
  58. DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning
  59. Attention-based model for predicting question relatedness on Stack Overflow
  60. Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
  61. Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP
  62. Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacement
  63. PAMELI: A Meta-Algorithm for Computationally Expensive Multi-Objective Optimization Problems
  64. Congolese Swahili Machine Translation for Humanitarian Response
  65. Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation
  66. MuRIL: Multilingual Representations for Indian Languages
  67. Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
  68. Sparse Algorithms for Markovian Gaussian Processes
  69. Lessons Learned from Educating AI Engineers
  70. ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
  71. MDMMT: Multidomain Multimodal Transformer for Video Retrieval
  72. AutoTune: Controller Tuning for High-Speed Flight
  73. ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
  74. QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
  75. Semantic Contextual Reasoning to Provide Human Behavior
  76. Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
  77. Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
  78. Controllable Generation from Pre-trained Language Models via Inverse Prompting
  79. Masked Conditional Random Fields for Sequence Labeling
  80. Learning the Superpixel in a Non-iterative and Lifelong Manner
  81. Learning Multiscale Correlations for Human Motion Prediction
  82. Cost-effective Deployment of BERT Models in Serverless Environment
  83. Improving Image co-segmentation via Deep Metric Learning
  84. API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations
  85. XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
  86. USTC-NELSLIP System Description for DIHARD-III Challenge
  87. Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms
  88. SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems
  89. CE-FPN: Enhancing Channel Information for Object Detection
  90. Knowledge-Based Hierarchical POMDPs for Task Planning
  91. Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning
  92. Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
  93. Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement
  94. Towards a Dimension-Free Understanding of Adaptive Linear Control
  95. Scalable Vision Transformers with Hierarchical Pooling
  96. Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings
  97. Knowledge-Guided Object Discovery with Acquired Deep Impressions
  98. Boosting Adversarial Transferability through Enhanced Momentum
  99. Training image classifiers using Semi-Weak Label Data
  100. DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network
All 109
  1. Noise Modulation: Let Your Model Interpret Itself
  2. GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
  3. Extractive Summarization of Call Transcripts
  4. PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
  5. Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures
  6. Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data
  7. HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
  8. Dynamic Transfer for Multi-Source Domain Adaptation
  9. Hopper: Multi-hop Transformer for Spatiotemporal Reasoning