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.
Search paper metadata (including unsummarized papers)
25,381 to 25,440 of 27,328
Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert +4
cs.LGcs.AIcs.ROarXiv:2002.00444v22020Deep Learning for Procedural Content Generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa +3
cs.AIcs.LGarXiv:2010.04548v12020Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
Zeljko Kraljevic, Thomas Searle, Anthony Shek +15
cs.CLcs.AIcs.LGarXiv:2010.01165v22020Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu, Bo Yang, Sheikh Khalid +3
cs.CVcs.AIcs.ROarXiv:2009.03137v32020F*: An Interpretable Transformation of the F-measure
David J. Hand, Peter Christen, Nishadi Kirielle
cs.LGcs.AIcs.CVarXiv:2008.00103v32020Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)
Mark T. Keane, Barry Smyth
cs.AIarXiv:2005.13997v12020Conceptual Metaphors Impact Perceptions of Human-AI Collaboration
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei +2
cs.HCcs.AIarXiv:2008.02311v12020Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Víctor Campos, Alexander Trott, Caiming Xiong +3
cs.LGcs.AIstat.MLarXiv:2002.03647v42020Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
cs.LGcs.AIcs.DBarXiv:1811.12823v52018MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020Lio -- A Personal Robot Assistant for Human-Robot Interaction and Care Applications
Justinas Miseikis, Pietro Caroni, Patricia Duchamp +8
cs.ROcs.AIcs.HCarXiv:2006.09019v12020Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
cs.LGcs.AIstat.MLarXiv:1910.07207v22019Aligning Superhuman AI with Human Behavior: Chess as a Model System
Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1
cs.AIcs.CYcs.LGarXiv:2006.01855v32020The relationship between trust in AI and trustworthy machine learning technologies
Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3
cs.CYcs.AIcs.LGarXiv:1912.00782v22019ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman +3
cs.CLcs.AIarXiv:1909.11942v62019An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper +8
cs.CLcs.AIcs.LGarXiv:1909.02027v12019How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Sérgio Jesus, Catarina Belém, Vladimir Balayan +4
cs.AIarXiv:2101.08758v22021Teaching Temporal Logics to Neural Networks
Christopher Hahn, Frederik Schmitt, Jens U. Kreber +2
cs.LOcs.AIcs.LGarXiv:2003.04218v32020A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
Antonio LaTorre, Daniel Molina, Eneko Osaba +2
cs.NEcs.AIarXiv:2004.09969v22020Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2
cs.CLcs.AIcs.IRarXiv:1910.02517v12019Learning elementary structures for 3D shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher +3
cs.CVcs.AIarXiv:1908.04725v22019Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Husein Perez, Joseph H. M. Tah, Amir Mosavi
cs.CVcs.AIcs.LGarXiv:1908.04392v12019KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen +1
cs.CLcs.AIarXiv:1909.02151v12019ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Weihao Yu, Zihang Jiang, Yanfei Dong +1
cs.CLcs.AIcs.LGarXiv:2002.04326v32020Variable 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:1906.08880v22019Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
cs.CYcs.AIcs.LGarXiv:2003.11336v32020Deep 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:1804.10938v52018Large scale distributed neural network training through online distillation
Rohan Anil, Gabriel Pereyra, Alexandre Passos +3
cs.LGcs.AIstat.MLarXiv:1804.03235v22018Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou, Xu Chen, En Li +3
cs.DCcs.AIcs.NIarXiv:1905.10083v12019One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
Kacper Sokol, Peter Flach
cs.LGcs.AIstat.MLarXiv:2001.09734v12020Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Yichi Zhang, Zhijian Ou, Zhou Yu
cs.CLcs.AIarXiv:1911.10484v22019Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
cs.HCcs.AIcs.LGarXiv:2001.02478v32020Physically 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:1912.01752v22019State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1
cs.AIcs.LGstat.MLarXiv:1802.04181v22018A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
cs.LGcs.AIcs.DLarXiv:1909.06674v12019How multilingual is Multilingual BERT?
Telmo Pires, Eva Schlinger, Dan Garrette
cs.CLcs.AIcs.LGarXiv:1906.01502v12019Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Shaoxiong Ji, Shirui Pan, Xue Li +3
cs.CYcs.AIcs.CLarXiv:1910.12611v42019WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Senthil Yogamani, Ciaran Hughes, Jonathan Horgan +14
cs.CVcs.AIcs.LGarXiv:1905.01489v32019TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen, Hongmin Wang, Jianshu Chen +5
cs.CLcs.AIarXiv:1909.02164v52019Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
cs.CLcs.AIcs.LGarXiv:1906.05381v22019Distilling Object Detectors with Fine-grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang +1
cs.CVcs.AIcs.LGarXiv:1906.03609v12019Is 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:1907.11932v62019Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
Liliang Ren, Jianmo Ni, Julian McAuley
cs.AIcs.CLarXiv:1909.00754v22019GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago +1
stat.MLcs.AIcs.LGarXiv:1905.11600v12019Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
Hong-Ning Dai, Hao Wang, Guangquan Xu +2
cs.CYcs.AIcs.LGarXiv:1909.00413v12019Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley +3
cs.CYcs.AIcs.CLarXiv:1908.05780v12019Augmenting Data with Mixup for Sentence Classification: An Empirical Study
Hongyu Guo, Yongyi Mao, Richong Zhang
cs.CLcs.AIarXiv:1905.08941v12019One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou, Changxing Ding, Xinchao Wang +2
cs.CVcs.AIcs.LGarXiv:1906.01796v22019Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
cs.LGcs.AIstat.MLarXiv:1903.02020v22019Combining 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:1905.13456v32019Recent Trends in Deep Learning Based Personality Detection
Yash Mehta, Navonil Majumder, Alexander Gelbukh +1
cs.LGcs.AIcs.HCarXiv:1908.03628v22019Rapid 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:1907.09620v32019Learnable Triangulation of Human Pose
Karim Iskakov, Egor Burkov, Victor Lempitsky +1
cs.CVcs.AIarXiv:1905.05754v12019Summaries:한국어Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets +9
cs.CVcs.AIcs.CLarXiv:1904.01201v22019Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Xuewei Wang, Weiyan Shi, Richard Kim +4
cs.CLcs.AIcs.CYarXiv:1906.06725v22019RL-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:1904.12304v12019M3DR: Towards Universal Multilingual Multimodal Document Retrieval
Adithya S Kolavi, Vyoman Jain
cs.IRcs.AIcs.CLarXiv:2512.03514v12025Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu, Bin Fan, Shiming Xiang +1
cs.CVcs.AIcs.CGarXiv:1904.07601v32019Local Relation Networks for Image Recognition
Han Hu, Zheng Zhang, Zhenda Xie +1
cs.CVcs.AIcs.LGarXiv:1904.11491v12019How 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