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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9,121 to 9,180 of 15,362

  1. Red-Teaming the Stable Diffusion Safety Filter

    Javier Rando, Daniel Paleka, David Lindner +2

    cs.AIcs.CRcs.CVarXiv:2210.04610v52022
  2. Building Cooperative Embodied Agents Modularly with Large Language Models

    Hongxin Zhang, Weihua Du, Jiaming Shan +5

    cs.AIcs.CLcs.CVarXiv:2307.02485v22023
  3. The Primacy Bias in Deep Reinforcement Learning

    Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro +2

    cs.LGcs.AIstat.MLarXiv:2205.07802v12022
  4. Hierarchical Transformers for Multi-Document Summarization

    Yang Liu, Mirella Lapata

    cs.CLcs.AIarXiv:1905.13164v12019
  5. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

    Zhibin Gou, Zhihong Shao, Yeyun Gong +5

    cs.CLcs.AIarXiv:2309.17452v42023
  6. Thinking Fast and Slow in Large Language Models

    Thilo Hagendorff, Sarah Fabi, Michal Kosinski

    cs.CLcs.AIcs.LGarXiv:2212.05206v22022
  7. Learning from Untrusted Data

    Moses Charikar, Jacob Steinhardt, Gregory Valiant

    cs.LGcs.AIcs.CCarXiv:1611.02315v22016
  8. A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

    Alyssa Lees, Vinh Q. Tran, Yi Tay +4

    cs.CLcs.AIcs.CYarXiv:2202.11176v12022
  9. CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

    Zijie J. Wang, Robert Turko, Omar Shaikh +5

    cs.HCcs.AIcs.CVarXiv:2004.15004v32020
  10. Convolutional Neural Network Architectures for Signals Supported on Graphs

    Fernando Gama, Antonio G. Marques, Geert Leus +1

    eess.SPcs.AIcs.LGarXiv:1805.00165v22018
  11. Better Diffusion Models Further Improve Adversarial Training

    Zekai Wang, Tianyu Pang, Chao Du +3

    cs.CVcs.AIcs.CRarXiv:2302.04638v22023
  12. Real-Time Bidding by Reinforcement Learning in Display Advertising

    Han Cai, Kan Ren, Weinan Zhang +4

    cs.LGcs.AIcs.GTarXiv:1701.02490v22017
  13. Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

    Wei Ping, Kainan Peng, Andrew Gibiansky +5

    cs.SDcs.AIcs.CLarXiv:1710.07654v32017
  14. A unified view of entropy-regularized Markov decision processes

    Gergely Neu, Anders Jonsson, Vicenç Gómez

    cs.LGcs.AIstat.MLarXiv:1705.07798v12017
  15. Evaluating Large Language Models: A Comprehensive Survey

    Zishan Guo, Renren Jin, Chuang Liu +8

    cs.CLcs.AIarXiv:2310.19736v32023
  16. LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

    Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu +3

    cs.CLcs.AIarXiv:2310.01469v32023
  17. Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey

    Pranav Singh Chib, Pravendra Singh

    cs.ROcs.AIcs.CVarXiv:2307.04370v22023
  18. Improved Neural Relation Detection for Knowledge Base Question Answering

    Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3

    cs.CLcs.AIcs.NEarXiv:1704.06194v22017
  19. Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

    Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux +1

    cs.CLcs.AIarXiv:1905.01969v42019
  20. Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

    Bingchen Liu, Yizhe Zhu, Kunpeng Song +1

    cs.CVcs.AIarXiv:2101.04775v12021
  21. Tool Learning with Large Language Models: A Survey

    Changle Qu, Sunhao Dai, Xiaochi Wei +5

    cs.CLcs.AIarXiv:2405.17935v32024
  22. Geometry-aware Instance-reweighted Adversarial Training

    Jingfeng Zhang, Jianing Zhu, Gang Niu +3

    cs.LGcs.AIarXiv:2010.01736v22020
  23. How do Data Science Workers Collaborate? Roles, Workflows, and Tools

    Amy X. Zhang, Michael Muller, Dakuo Wang

    cs.HCcs.AIcs.LGarXiv:2001.06684v32020
  24. Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

    Chih-Yao Ma, Jiasen Lu, Zuxuan Wu +4

    cs.AIcs.CLcs.CVarXiv:1901.03035v12019
  25. Unsupervised Attention-guided Image to Image Translation

    Youssef A. Mejjati, Christian Richardt, James Tompkin +2

    cs.CVcs.AIarXiv:1806.02311v32018
  26. Omnivore: A Single Model for Many Visual Modalities

    Rohit Girdhar, Mannat Singh, Nikhila Ravi +3

    cs.CVcs.AIcs.IRarXiv:2201.08377v22022
  27. A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

    Zequn Sun, Qingheng Zhang, Wei Hu +4

    cs.CLcs.AIcs.DBarXiv:2003.07743v22020
  28. Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

    Jiahao Ji, Jingyuan Wang, Chao Huang +5

    cs.LGcs.AIarXiv:2212.04475v22022
  29. An Overview of Catastrophic AI Risks

    Dan Hendrycks, Mantas Mazeika, Thomas Woodside

    cs.CYcs.AIcs.LGarXiv:2306.12001v62023
  30. KBGAN: Adversarial Learning for Knowledge Graph Embeddings

    Liwei Cai, William Yang Wang

    cs.CLcs.AIarXiv:1711.04071v32017
  31. Tightening LP Relaxations for MAP using Message Passing

    David Sontag, Talya Meltzer, Amir Globerson +2

    cs.DScs.AIcs.CEarXiv:1206.3288v12012
  32. CAT: Cross Attention in Vision Transformer

    Hezheng Lin, Xing Cheng, Xiangyu Wu +5

    cs.CVcs.AIarXiv:2106.05786v12021
  33. Deep Graph Clustering via Dual Correlation Reduction

    Yue Liu, Wenxuan Tu, Sihang Zhou +4

    cs.LGcs.AIcs.CVarXiv:2112.14772v12021
  34. Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

    Yonatan Vaizman, Katherine Ellis, Gert Lanckriet

    cs.AIcs.CYcs.HCarXiv:1609.06354v42016
  35. Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

    Yi Tay, Anh Tuan Luu, Siu Cheung Hui

    cs.AIcs.IRarXiv:1707.05176v32017
  36. AUC Maximization in the Era of Big Data and AI: A Survey

    Tianbao Yang, Yiming Ying

    cs.LGcs.AImath.OCarXiv:2203.15046v32022
  37. Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

    Dongwook Lee, Jaejun Yoo, Sungho Tak +1

    cs.CVcs.AIcs.LGarXiv:1804.00432v12018
  38. Graph Neural Networks for Decentralized Multi-Robot Path Planning

    Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1

    cs.ROcs.AIcs.LGarXiv:1912.06095v22019
  39. Model-free Deep Reinforcement Learning for Urban Autonomous Driving

    Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka

    cs.LGcs.AIcs.CVarXiv:1904.09503v22019
  40. Accelerating Reinforcement Learning with Learned Skill Priors

    Karl Pertsch, Youngwoon Lee, Joseph J. Lim

    cs.LGcs.AIcs.ROarXiv:2010.11944v12020
  41. DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

    Gaoyue Zhou, Hengkai Pan, Yann LeCun +1

    cs.ROcs.AIarXiv:2411.04983v22024
  42. Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

    Chuming Lin, Chengming Xu, Donghao Luo +6

    cs.CVcs.AIarXiv:2103.13137v12021
  43. Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

    Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón +2

    cs.CRcs.AIcs.LGarXiv:2201.08135v12022
  44. A Deeper Look at Experience Replay

    Shangtong Zhang, Richard S. Sutton

    cs.LGcs.AIarXiv:1712.01275v32017
  45. Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

    Nicolas Y. Masse, Gregory D. Grant, David J. Freedman

    cs.LGcs.AIq-bio.NCarXiv:1802.01569v22018
  46. Holistic Network Virtualization and Pervasive Network Intelligence for 6G

    Xuemin, Shen, Jie Gao +4

    cs.NIcs.AIarXiv:2301.00519v12023
  47. A System for General In-Hand Object Re-Orientation

    Tao Chen, Jie Xu, Pulkit Agrawal

    cs.ROcs.AIcs.LGarXiv:2111.03043v12021
  48. E-commerce in Your Inbox: Product Recommendations at Scale

    Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric +4

    cs.AIcs.IRcs.SIarXiv:1606.07154v12016
  49. Open-Vocabulary DETR with Conditional Matching

    Yuhang Zang, Wei Li, Kaiyang Zhou +2

    cs.CVcs.AIarXiv:2203.11876v22022
  50. FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

    I-Chun Chern, Steffi Chern, Shiqi Chen +6

    cs.CLcs.AIarXiv:2307.13528v22023
  51. River: machine learning for streaming data in Python

    Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8

    cs.LGcs.AIcs.MSarXiv:2012.04740v12020
  52. Translation between Molecules and Natural Language

    Carl Edwards, Tuan Lai, Kevin Ros +3

    cs.CLcs.AIarXiv:2204.11817v32022
  53. MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

    Wenhu Chen, Hexiang Hu, Xi Chen +2

    cs.CLcs.AIcs.CVarXiv:2210.02928v22022
  54. ChemBERTa-2: Towards Chemical Foundation Models

    Walid Ahmad, Elana Simon, Seyone Chithrananda +2

    cs.LGcs.AIq-bio.BMarXiv:2209.01712v12022
  55. Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential

    Qing Lyu, Josh Tan, Michael E. Zapadka +5

    cs.CLcs.AIphysics.med-pharXiv:2303.09038v32023
  56. From Sparse to Soft Mixtures of Experts

    Joan Puigcerver, Carlos Riquelme, Basil Mustafa +1

    cs.LGcs.AIcs.CVarXiv:2308.00951v22023
  57. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

    Sven Buechel, Udo Hahn

    cs.CLcs.AIcs.LGarXiv:2205.01996v12022
  58. Generating Sentences by Editing Prototypes

    Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren +1

    cs.CLcs.AIcs.LGarXiv:1709.08878v22017
  59. SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

    Po-Wei Wang, Priya L. Donti, Bryan Wilder +1

    cs.LGcs.AIstat.MLarXiv:1905.12149v12019
  60. Efficient Optimal Learning for Contextual Bandits

    Miroslav Dudik, Daniel Hsu, Satyen Kale +4

    cs.LGcs.AIstat.MLarXiv:1106.2369v12011