mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 9 Mar 2021

143 papers

  1. Deep Manifold Learning for Dynamic MR Imaging
  2. The Unfolding Structure of Arguments in Online Debates: The case of a No-Deal Brexit
  3. Scalable Hypergraph Embedding System
  4. Towards New Multiwavelets: Associated Filters and Algorithms. Part I: Theoretical Framework and Investigation of Biomedical Signals, ECG and Coronavirus Cases
  5. Wav2vec-C: A Self-supervised Model for Speech Representation Learning
  6. HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
  7. The AI Index 2021 Annual Report
  8. Learning to Generate Music With Sentiment
  9. Scalable Online Recurrent Learning Using Columnar Neural Networks
  10. Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests
  11. Regret Bounds for Generalized Linear Bandits under Parameter Drift
  12. Analyzing Human Models that Adapt Online
  13. Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
  14. Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations
  15. Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
  16. The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
  17. Structural Connectome Atlas Construction in the Space of Riemannian Metrics
  18. A Multi-resolution Approach to Expression Recognition in the Wild
  19. Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation
  20. Machine Learning the period finding algorithm
  21. A sampling criterion for constrained Bayesian optimization with uncertainties
  22. Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
  23. Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
  24. Capturing Omni-Range Context for Omnidirectional Segmentation
  25. Monotonic Alpha-divergence Minimisation for Variational Inference
  26. Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification
  27. Towards Action Model Learning for Player Modeling
  28. Explaining dimensionality reduction results using Shapley values
  29. SMIL: Multimodal Learning with Severely Missing Modality
  30. Self-Supervision by Prediction for Object Discovery in Videos
  31. On complementing end-to-end human behavior predictors with planning
  32. Beyond Nystr"omformer -- Approximation of self-attention by Spectral Shifting
  33. A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation
  34. Proof-of-Learning: Definitions and Practice
  35. Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
  36. ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
  37. The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression
  38. Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
  39. Challenges for Reinforcement Learning in Healthcare
  40. Discrete Function Bases and Convolutional Neural Networks
  41. Dory: Overcoming Barriers to Computing Persistent Homology
  42. NeX: Real-time View Synthesis with Neural Basis Expansion
  43. unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
  44. A Discriminative Vectorial Framework for Multi-modal Feature Representation
  45. Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency
  46. SimTriplet: Simple Triplet Representation Learning with a Single GPU
  47. hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
  48. Parametrized quantum policies for reinforcement learning
  49. FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
  50. Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
  51. PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
  52. Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
  53. Comparing Approaches to Dravidian Language Identification
  54. Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT
  55. Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
  56. Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
  57. On the interplay between data structure and loss function in classification problems
  58. Approximate Optimal Filter for Linear Gaussian Time-invariant Systems
  59. Symbolic integration by integrating learning models with different strengths and weaknesses
  60. TS-Net: OCR Trained to Switch Between Text Transcription Styles
  61. UnICORNN: A recurrent model for learning very long time dependencies
  62. Doubly Contrastive Deep Clustering
  63. From Classical to Hierarchical: benchmarks for the HTN Track of the International Planning Competition
  64. PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
  65. Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
  66. Generating Reliable Process Event Streams and Time Series Data based on Neural Networks
  67. Analytically Tractable Inference in Deep Neural Networks
  68. Extended Tree Search for Robot Task and Motion Planning
  69. Pixel-wise Anomaly Detection in Complex Driving Scenes
  70. Combining Gaussian processes and polynomial chaos expansions for stochastic nonlinear model predictive control
  71. When is it permissible for artificial intelligence to lie? A trust-based approach
  72. Multimodal fusion using sparse CCA for breast cancer survival prediction
  73. Deep Learning Based 3D Segmentation: A Survey
  74. Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
  75. Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
  76. QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
  77. Instance and Pair-Aware Dynamic Networks for Re-Identification
  78. NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images
  79. Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification
  80. Exploring Coronal Heating Using Unsupervised Machine-Learning
  81. ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments
  82. MWQ: Multiscale Wavelet Quantized Neural Networks
  83. Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
  84. Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
  85. I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
  86. Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
  87. ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
  88. Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation
  89. A model-based framework for learning transparent swarm behaviors
  90. Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network
  91. HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks
  92. A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development
  93. CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces
  94. Active Testing: Sample-Efficient Model Evaluation
  95. BERTese: Learning to Speak to BERT
  96. A Simple Approach for Non-stationary Linear Bandits
  97. Bio-Inspired Representation Learning for Visual Attention Prediction
  98. Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition
  99. Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning
  100. Deep Learning for Android Malware Defenses: a Systematic Literature Review
All 143
  1. A prior-based approximate latent Riemannian metric
  2. 3D-QCNet -- A Pipeline for Automated Artifact Detection in Diffusion MRI images
  3. Open-book Video Captioning with Retrieve-Copy-Generate Network
  4. Efficient Vertex-Oriented Polytopic Projection for Web-scale Applications
  5. Continual Density Ratio Estimation in an Online Setting
  6. Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
  7. PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
  8. Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
  9. BASAR:Black-box Attack on Skeletal Action Recognition
  10. 2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks
  11. Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
  12. MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
  13. Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS
  14. Practical Relative Order Attack in Deep Ranking
  15. Pretrained Transformers as Universal Computation Engines
  16. Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
  17. On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
  18. Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
  19. GAN Vocoder: Multi-Resolution Discriminator Is All You Need
  20. Stabilized Medical Image Attacks
  21. Self-supervised Regularization for Text Classification
  22. Uncertainty-aware Incremental Learning for Multi-organ Segmentation
  23. DeepSeagrass Dataset
  24. A Scavenger Hunt for Service Robots
  25. Data augmentation by morphological mixup for solving Raven's Progressive Matrices
  26. Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics
  27. Universal Undersampled MRI Reconstruction
  28. Enhancing Medical Image Registration via Appearance Adjustment Networks
  29. Dynamic Pricing and Learning under the Bass Model
  30. A Learning-Based Computational Impact Time Guidance
  31. Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation
  32. Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
  33. An Introduction to Deep Generative Modeling
  34. Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
  35. Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
  36. Improving Document-Level Sentiment Classification Using Importance of Sentences
  37. Anomalous entities detection using a cascade of deep learning models
  38. The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
  39. Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography
  40. Explanations in Autonomous Driving: A Survey
  41. Knowledge Evolution in Neural Networks
  42. Contrastive Semi-supervised Learning for ASR
  43. Model-free Policy Learning with Reward Gradients