mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 16 Jan 2021

70 papers

  1. LookOut: Diverse Multi-Future Prediction and Planning for Self-DrivingEnd-to-end autonomous driving → Generative simulation for driving
  2. Transformer-Based Models for Question Answering on COVID19
  3. Dynamical prediction of two meteorological factors using the deep neural network and the long short term memory (1)
  4. Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
  5. Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation
  6. Diverse Complexity Measures for Dataset Curation in Self-driving
  7. Self-Supervised Representation Learning from Flow Equivariance
  8. A multilevel clustering technique for community detection
  9. AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
  10. VideoClick: Video Object Segmentation with a Single Click
  11. GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
  12. ConE: A Concurrent Edit Detection Tool for Large Scale Software Development
  13. SceneGen: Learning to Generate Realistic Traffic Scenes
  14. Deep Cox Mixtures for Survival Regression
  15. Big Data application in congestion detection and classification using Apache spark
  16. Hierarchical Reinforcement Learning By Discovering Intrinsic Options
  17. Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
  18. Linguistically-Enriched and Context-Aware Zero-shot Slot Filling
  19. Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
  20. Phases of learning dynamics in artificial neural networks: with or without mislabeled data
  21. Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
  22. Bladder segmentation based on deep learning approaches: current limitations and lessons
  23. Learning Robust Hybrid Control Barrier Functions for Uncertain Systems
  24. Binary strings of finite VC dimension
  25. Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation
  26. A Renormalization Group Approach to Connect Discrete- and Continuous-Time Descriptions of Gaussian Processes
  27. SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
  28. Visual Analytics approach for finding spatiotemporal patterns from COVID19
  29. Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
  30. Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
  31. Learning the Implicit Semantic Representation on Graph-Structured Data
  32. Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation
  33. Dual-Level Collaborative Transformer for Image Captioning
  34. Robustness to Augmentations as a Generalization metric
  35. Temporal Clustering of Disorder Events During the COVID-19 Pandemic
  36. An MCMC Method to Sample from Lattice Distributions
  37. Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability
  38. Scale factor point spread function matching: Beyond aliasing in image resampling
  39. Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
  40. Hashing and metric learning for charged particle tracking
  41. JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms
  42. A Survey on Extraction of Causal Relations from Natural Language Text
  43. Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
  44. Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
  45. Bayesian Inference Forgetting
  46. Towards Deep Learning Assisted Autonomous UAVs for Manipulation Tasks in GPS-Denied Environments
  47. DeepMI: A Mutual Information Based Framework For Unsupervised Deep Learning of Tasks
  48. Shape Back-Projection In 3D Scenes
  49. ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN
  50. Semi Supervised Deep Quick Instance Detection and Segmentation
  51. ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
  52. Latent Variable Models for Visual Question Answering
  53. To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graph
  54. Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling
  55. Free Lunch for Few-shot Learning: Distribution Calibration
  56. Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
  57. Unsupervised Noisy Tracklet Person Re-identification
  58. GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
  59. Informative core identification in complex networks
  60. A Novel Local Binary Pattern Based Blind Feature Image Steganography
  61. DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer
  62. An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
  63. NNStreamer: Efficient and Agile Development of On-Device AI Systems
  64. Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media
  65. AR-based Modern Healthcare: A Review
  66. A Hitchhiker's Guide to Structural Similarity
  67. Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Data
  68. Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests
  69. Exponential Kernels with Latency in Hawkes Processes: Applications in Finance
  70. Optical Flow Estimation via Motion Feature Recovery