Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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25,381 to 25,440 of 27,328

  1. Deep Reinforcement Learning for Autonomous Driving: A Survey

    B Ravi Kiran, Ibrahim Sobh, Victor Talpaert +4

    cs.LGcs.AIcs.ROarXiv:2002.00444v22020
  2. Deep Learning for Procedural Content Generation

    Jialin Liu, Sam Snodgrass, Ahmed Khalifa +3

    cs.AIcs.LGarXiv:2010.04548v12020
  3. Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

    Zeljko Kraljevic, Thomas Searle, Anthony Shek +15

    cs.CLcs.AIcs.LGarXiv:2010.01165v22020
  4. Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

    Qingyong Hu, Bo Yang, Sheikh Khalid +3

    cs.CVcs.AIcs.ROarXiv:2009.03137v32020
  5. F*: An Interpretable Transformation of the F-measure

    David J. Hand, Peter Christen, Nishadi Kirielle

    cs.LGcs.AIcs.CVarXiv:2008.00103v32020
  6. Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)

    Mark T. Keane, Barry Smyth

    cs.AIarXiv:2005.13997v12020
  7. Conceptual Metaphors Impact Perceptions of Human-AI Collaboration

    Pranav Khadpe, Ranjay Krishna, Li Fei-Fei +2

    cs.HCcs.AIarXiv:2008.02311v12020
  8. Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

    Víctor Campos, Alexander Trott, Caiming Xiong +3

    cs.LGcs.AIstat.MLarXiv:2002.03647v42020
  9. Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

    Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13

    cs.LGcs.AIcs.DBarXiv:1811.12823v52018
  10. MedDialog: Two Large-scale Medical Dialogue Datasets

    Xuehai He, Shu Chen, Zeqian Ju +10

    cs.LGcs.AIcs.CLarXiv:2004.03329v22020
  11. Lio -- A Personal Robot Assistant for Human-Robot Interaction and Care Applications

    Justinas Miseikis, Pietro Caroni, Patricia Duchamp +8

    cs.ROcs.AIcs.HCarXiv:2006.09019v12020
  12. Soft Actor-Critic for Discrete Action Settings

    Petros Christodoulou

    cs.LGcs.AIstat.MLarXiv:1910.07207v22019
  13. Aligning Superhuman AI with Human Behavior: Chess as a Model System

    Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1

    cs.AIcs.CYcs.LGarXiv:2006.01855v32020
  14. The relationship between trust in AI and trustworthy machine learning technologies

    Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3

    cs.CYcs.AIcs.LGarXiv:1912.00782v22019
  15. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

    Zhenzhong Lan, Mingda Chen, Sebastian Goodman +3

    cs.CLcs.AIarXiv:1909.11942v62019
  16. An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

    Stefan Larson, Anish Mahendran, Joseph J. Peper +8

    cs.CLcs.AIcs.LGarXiv:1909.02027v12019
  17. How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations

    Sérgio Jesus, Catarina Belém, Vladimir Balayan +4

    cs.AIarXiv:2101.08758v22021
  18. Teaching Temporal Logics to Neural Networks

    Christopher Hahn, Frederik Schmitt, Jens U. Kreber +2

    cs.LOcs.AIcs.LGarXiv:2003.04218v32020
  19. A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms

    Antonio LaTorre, Daniel Molina, Eneko Osaba +2

    cs.NEcs.AIarXiv:2004.09969v22020
  20. Fine-Grained Analysis of Propaganda in News Articles

    Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2

    cs.CLcs.AIcs.IRarXiv:1910.02517v12019
  21. Learning elementary structures for 3D shape generation and matching

    Theo Deprelle, Thibault Groueix, Matthew Fisher +3

    cs.CVcs.AIarXiv:1908.04725v22019
  22. Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

    Husein Perez, Joseph H. M. Tah, Amir Mosavi

    cs.CVcs.AIcs.LGarXiv:1908.04392v12019
  23. KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

    Bill Yuchen Lin, Xinyue Chen, Jamin Chen +1

    cs.CLcs.AIarXiv:1909.02151v12019
  24. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

    Weihao Yu, Zihang Jiang, Yanfei Dong +1

    cs.CLcs.AIcs.LGarXiv:2002.04326v32020
  25. Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

    Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner +3

    cs.ROcs.AIcs.LGarXiv:1906.08880v22019
  26. Mapping the Landscape of Artificial Intelligence Applications against COVID-19

    Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2

    cs.CYcs.AIcs.LGarXiv:2003.11336v32020
  27. Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

    Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5

    cs.CVcs.AIcs.HCarXiv:1804.10938v52018
  28. Large scale distributed neural network training through online distillation

    Rohan Anil, Gabriel Pereyra, Alexandre Passos +3

    cs.LGcs.AIstat.MLarXiv:1804.03235v22018
  29. Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing

    Zhi Zhou, Xu Chen, En Li +3

    cs.DCcs.AIcs.NIarXiv:1905.10083v12019
  30. One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

    Kacper Sokol, Peter Flach

    cs.LGcs.AIstat.MLarXiv:2001.09734v12020
  31. Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

    Yichi Zhang, Zhijian Ou, Zhou Yu

    cs.CLcs.AIarXiv:1911.10484v22019
  32. Questioning the AI: Informing Design Practices for Explainable AI User Experiences

    Q. Vera Liao, Daniel Gruen, Sarah Miller

    cs.HCcs.AIcs.LGarXiv:2001.02478v32020
  33. Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability

    Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff

    physics.ao-phcs.AIphysics.data-anarXiv:1912.01752v22019
  34. State Representation Learning for Control: An Overview

    Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1

    cs.AIcs.LGstat.MLarXiv:1802.04181v22018
  35. A Step Toward Quantifying Independently Reproducible Machine Learning Research

    Edward Raff

    cs.LGcs.AIcs.DLarXiv:1909.06674v12019
  36. How multilingual is Multilingual BERT?

    Telmo Pires, Eva Schlinger, Dan Garrette

    cs.CLcs.AIcs.LGarXiv:1906.01502v12019
  37. Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

    Shaoxiong Ji, Shirui Pan, Xue Li +3

    cs.CYcs.AIcs.CLarXiv:1910.12611v42019
  38. WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

    Senthil Yogamani, Ciaran Hughes, Jonathan Horgan +14

    cs.CVcs.AIcs.LGarXiv:1905.01489v32019
  39. TabFact: A Large-scale Dataset for Table-based Fact Verification

    Wenhu Chen, Hongmin Wang, Jianshu Chen +5

    cs.CLcs.AIarXiv:1909.02164v52019
  40. Compositional generalization through meta sequence-to-sequence learning

    Brenden M. Lake

    cs.CLcs.AIcs.LGarXiv:1906.05381v22019
  41. Distilling Object Detectors with Fine-grained Feature Imitation

    Tao Wang, Li Yuan, Xiaopeng Zhang +1

    cs.CVcs.AIcs.LGarXiv:1906.03609v12019
  42. Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

    Di Jin, Zhijing Jin, Joey Tianyi Zhou +1

    cs.CLcs.AIcs.LGarXiv:1907.11932v62019
  43. Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation

    Liliang Ren, Jianmo Ni, Julian McAuley

    cs.AIcs.CLarXiv:1909.00754v22019
  44. GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

    Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago +1

    stat.MLcs.AIcs.LGarXiv:1905.11600v12019
  45. Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies

    Hong-Ning Dai, Hao Wang, Guangquan Xu +2

    cs.CYcs.AIcs.LGarXiv:1909.00413v12019
  46. Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

    Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley +3

    cs.CYcs.AIcs.CLarXiv:1908.05780v12019
  47. Augmenting Data with Mixup for Sentence Classification: An Empirical Study

    Hongyu Guo, Yongyi Mao, Richong Zhang

    cs.CLcs.AIarXiv:1905.08941v12019
  48. One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

    Chenhong Zhou, Changxing Ding, Xinchao Wang +2

    cs.CVcs.AIcs.LGarXiv:1906.01796v22019
  49. Using Natural Language for Reward Shaping in Reinforcement Learning

    Prasoon Goyal, Scott Niekum, Raymond J. Mooney

    cs.LGcs.AIstat.MLarXiv:1903.02020v22019
  50. Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

    Changhee Han, Leonardo Rundo, Ryosuke Araki +5

    eess.IVcs.AIcs.CVarXiv:1905.13456v32019
  51. Recent Trends in Deep Learning Based Personality Detection

    Yash Mehta, Navonil Majumder, Alexander Gelbukh +1

    cs.LGcs.AIcs.HCarXiv:1908.03628v22019
  52. Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

    Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum

    cs.AIcs.LGcs.ROarXiv:1907.09620v32019
  53. Learnable Triangulation of Human Pose

    Karim Iskakov, Egor Burkov, Victor Lempitsky +1

    cs.CVcs.AIarXiv:1905.05754v12019
    Summaries:한국어
  54. Habitat: A Platform for Embodied AI Research

    Manolis Savva, Abhishek Kadian, Oleksandr Maksymets +9

    cs.CVcs.AIcs.CLarXiv:1904.01201v22019
  55. Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

    Xuewei Wang, Weiyan Shi, Richard Kim +4

    cs.CLcs.AIcs.CYarXiv:1906.06725v22019
  56. RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

    Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim

    cs.CVcs.AIarXiv:1904.12304v12019
  57. M3DR: Towards Universal Multilingual Multimodal Document Retrieval

    Adithya S Kolavi, Vyoman Jain

    cs.IRcs.AIcs.CLarXiv:2512.03514v12025
  58. Relation-Shape Convolutional Neural Network for Point Cloud Analysis

    Yongcheng Liu, Bin Fan, Shiming Xiang +1

    cs.CVcs.AIcs.CGarXiv:1904.07601v32019
  59. Local Relation Networks for Image Recognition

    Han Hu, Zheng Zhang, Zhenda Xie +1

    cs.CVcs.AIcs.LGarXiv:1904.11491v12019
  60. How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

    Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1

    cs.CVcs.AIcs.LGarXiv:1710.09762v22017