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Every arXiv paper Paperlayer has summarized so far. 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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96,241 to 96,300 of 101,931
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer, Katja Schwarz, Andreas Geiger
cs.LGcs.CVarXiv:2202.00273v22022An Overview of 5G Advanced Evolution in 3GPP Release 18
Xingqin Lin
cs.NIarXiv:2201.01358v12022PromptChainer: Chaining Large Language Model Prompts through Visual Programming
Tongshuang Wu, Ellen Jiang, Aaron Donsbach +4
cs.HCarXiv:2203.06566v12022PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren, Chengping Rao, Yang Liu +2
cs.LGcs.CLmath.NAarXiv:2106.14103v12021SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations
Changan Niu, Chuanyi Li, Vincent Ng +3
cs.SEarXiv:2201.01549v42022MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
Liying Lu, Wenbo Li, Xin Tao +2
cs.CVarXiv:2106.02299v12021Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Yuyan Chen, Qiang Fu, Yichen Yuan +6
cs.CLcs.AIarXiv:2407.04121v12024Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma, Inna W. Lin, Adam S. Miner +2
cs.CLcs.SIarXiv:2101.07714v32021Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Haokui Zhang, Ying Li, Yenan Jiang +3
cs.CVarXiv:2012.03439v12020Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Zezhi Shao, Zhao Zhang, Fei Wang +1
cs.LGarXiv:2206.09113v22022NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing
Guseul Heo, Sangyeop Lee, Jaehong Cho +6
cs.ARarXiv:2403.00579v32024End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Barry Menglong Yao, Aditya Shah, Lichao Sun +2
cs.CLarXiv:2205.12487v22022Automatic Curriculum Generation for Learning Adaptation in Networking
Zhengxu Xia, Yajie Zhou, Francis Y. Yan +1
cs.NIarXiv:2202.05940v22022Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
Mengxi Liu, Qian Shi, Andrea Marinoni +3
eess.IVcs.CVcs.LGarXiv:2103.00188v12021Neural Reflectance Fields for Appearance Acquisition
Sai Bi, Zexiang Xu, Pratul Srinivasan +6
cs.CVcs.GRarXiv:2008.03824v22020Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba, Shotaro Sano, Toshihiko Yanase +2
cs.LGstat.MLarXiv:1907.10902v12019On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Vivian Lai, Chenhao Tan
cs.AIcs.CLcs.CYarXiv:1811.07901v42018Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam +1
cs.HCcs.CYcs.LGarXiv:2101.09824v12021TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
cs.LGcs.ARcs.DCarXiv:1908.03072v22019Power contours: optimising sample size and precision in experimental psychology and human neuroscience
Daniel H. Baker, Greta Vilidaite, Freya A. Lygo +4
q-bio.NCstat.MEarXiv:1902.06122v52019DGL-KE: Training Knowledge Graph Embeddings at Scale
Da Zheng, Xiang Song, Chao Ma +6
cs.DCarXiv:2004.08532v12020DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +4
cs.LGcs.CRstat.MLarXiv:2004.05703v12020Lightweight Classification of IoT Malware based on Image Recognition
Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad +3
cs.CRcs.CVarXiv:1802.03714v12018A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid
Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam +3
eess.SYarXiv:1911.06500v12019Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
cs.LGcs.CRcs.CVarXiv:1909.00900v22019When Deep Learning Met Code Search
Jose Cambronero, Hongyu Li, Seohyun Kim +2
cs.SEcs.CLcs.LGarXiv:1905.03813v42019Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok
Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich
cs.SIarXiv:2004.05478v22020Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar, Michael Fulham, Dagan Feng +1
cs.CVarXiv:1810.02492v22018A First Look at Deep Learning Apps on Smartphones
Mengwei Xu, Jiawei Liu, Yuanqiang Liu +3
cs.LGcs.CYarXiv:1812.05448v42018ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu +2
eess.AScs.LGcs.SDarXiv:1908.03299v12019Multi-scale Multi-band DenseNets for Audio Source Separation
Naoya Takahashi, Yuki Mitsufuji
cs.SDcs.CLcs.MMarXiv:1706.09588v12017A Review on the Application of Blockchain for the Next Generation of Cybersecure Industry 4.0 Smart Factories
Tiago M. Fernandez-Carames, Paula Fraga-Lamas
cs.DCcs.CRcs.CYarXiv:1902.09604v22019ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis +3
cs.CVcs.AIcs.LGarXiv:1811.12231v32018Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017Double-Stage Delay Multiply and Sum Beamforming Algorithm: Application to Linear-Array Photoacoustic Imaging
Moein Mozaffarzadeh, Ali Mahloojifar, Mahdi Orooji +2
eess.SPcs.ITarXiv:1801.07446v12018Time Series Management Systems: A Survey
Søren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen
cs.DBarXiv:1710.01077v12017Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer
Gili Rosenberg, Poya Haghnegahdar, Phil Goddard +3
q-fin.CPcs.DSmath.OCarXiv:1508.06182v32015Active learning machine learns to create new quantum experiments
Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn +4
quant-phcs.AIstat.MLarXiv:1706.00868v32017Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore +1
cs.ROcs.AIcs.LGarXiv:1407.3501v42014Data Mining : A prediction of performer or underperformer using classification
Umesh Kumar Pandey, Saurabh Pal
cs.DBcs.IRarXiv:1104.4163v12011Superintelligence and Law
Noam Kolt
cs.CYarXiv:2603.28669v12026The Physics of Gamma-Ray Bursts
Tsvi Piran
astro-pharXiv:astro-ph/0405503v12004The Deontic Gap: Large Language Models and the Modal Language of Obligation
Daniel Hart, Sarah Allred, Joseph Abbas +1
cs.CLcs.AIarXiv:2608.18144v12026An Evaluation of Change Point Detection Algorithms
Gerrit J. J. van den Burg, Christopher K. I. Williams
stat.MLcs.LGstat.MEarXiv:2003.06222v32020Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
Jefferson Ryan Medel, Andreas Savakis
cs.CVarXiv:1612.00390v22016HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field
Mingliang Bai, Zhihao Zhou, Ruidong Wang +6
cs.CLcs.AIarXiv:2308.01414v12023Collaborative Storytelling with Human Actors and AI Narrators
Boyd Branch, Piotr Mirowski, Kory W. Mathewson
cs.HCcs.AIarXiv:2109.14728v12021THEaiTRE: Artificial Intelligence to Write a Theatre Play
Rudolf Rosa, Ondřej Dušek, Tom Kocmi +10
cs.CLarXiv:2006.14668v12020RuAG: Learned-rule-augmented Generation for Large Language Models
Yudi Zhang, Pei Xiao, Lu Wang +11
cs.AIcs.CLcs.LGarXiv:2411.03349v12024OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning
Xiaoqiang Wang, Bang Liu
cs.AIcs.CLarXiv:2410.18963v12024User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan, Meng Jiang
cs.CLcs.AIarXiv:2312.11518v22023Estimating the Personality of White-Box Language Models
Saketh Reddy Karra, Son The Nguyen, Theja Tulabandhula
cs.CLcs.AIarXiv:2204.12000v22022An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
Shenao Yan, Shen Wang, Yue Duan +4
cs.CRcs.AIcs.SEarXiv:2406.06822v12024TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Hojjat Aghakhani, Wei Dai, Andre Manoel +7
cs.CRcs.LGarXiv:2301.02344v22023Geodesic convolutional neural networks on Riemannian manifolds
Jonathan Masci, Davide Boscaini, Michael M. Bronstein +1
cs.CVarXiv:1501.06297v32015Comment on "Detecting Novel Associations In Large Data Sets" by Reshef Et Al, Science Dec 16, 2011
Noah Simon, Robert Tibshirani
stat.MEarXiv:1401.7645v12014Social Networks and Spin Glasses
Scott Kirkpatrick, Alex Kulakovsky, Manuel Cebrian +1
cs.SIcs.CYarXiv:1008.1357v32010Avalanches of Activation and Spikes in Neuronal Complex Networks
Luciano da Fontoura Costa
physics.soc-phcond-mat.dis-nnphysics.comp-pharXiv:0802.0421v12008The Complex Network of Evolutionary Computation Authors: an Initial Study
Carlos Cotta, Juan J. Merelo
physics.soc-pharXiv:physics/0507196v22005Synchronization of Non-Linear Random Walk Dynamics in Complex Network
Luciano da Fontoura Costa
physics.soc-phcond-mat.dis-nnphysics.comp-pharXiv:0801.2520v12008