Every paper with a summary
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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22,801 to 22,860 of 61,255
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
Yawei Luo, Ping Liu, Tao Guan +2
cs.CVcs.AIcs.LGarXiv:1904.00876v12019Guiding LLM Peer Reviewers: The Impact of Score Anchors on Review Evidence and Accuracy
Judita Preiss, Yunhan Yang
cs.DLarXiv:2609.01905v12026Customer churn prediction in telecom using machine learning and social network analysis in big data platform
Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa
cs.CYcs.DCcs.LGarXiv:1904.00690v12019Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin +8
cs.LGstat.MLarXiv:1903.03096v42019Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems
Qurrat-Ul-Ain Nadeem, Abla Kammoun, Anas Chaaban +2
cs.ITarXiv:1903.08127v32019Scaling Inference Prefill with High-Radix Photonic Interconnects
Arulselvan Madhavan, Peter Carson, Taylor Groves +1
cs.DCcs.ARarXiv:2609.01821v12026PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Haoran Song, Wenchao Ding, Yuxuan Chen +3
cs.CVcs.ROarXiv:2003.11476v22020Arabic natural language processing: An overview
Imane Guellil, Houda Saâdane, Faical Azouaou +2
cs.CLarXiv:1903.02784v12019A new Backdoor Attack in CNNs by training set corruption without label poisoning
Mauro Barni, Kassem Kallas, Benedetta Tondi
cs.CRcs.CVcs.LGarXiv:1902.11237v12019Flow Q-Learning
Seohong Park, Qiyang Li, Sergey Levine
cs.LGcs.AIarXiv:2502.02538v22025On the qubit routing problem
Alexander Cowtan, Silas Dilkes, Ross Duncan +3
quant-phcs.DScs.PLarXiv:1902.08091v22019Simple Applications of BERT for Ad Hoc Document Retrieval
Wei Yang, Haotian Zhang, Jimmy Lin
cs.IRcs.CLarXiv:1903.10972v12019Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng, Christian Haase-Schütz, Lars Rosenbaum +5
cs.ROarXiv:1902.07830v42019Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity
Lei Wang, Jieming Bian, Letian Zhang +1
cs.LGcs.AIarXiv:2609.00632v12026Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim, Sangwoo Moon, David Hostallero +4
cs.AIcs.LGcs.MAarXiv:1902.01554v12019A Neural Model for Generating Natural Language Summaries of Program Subroutines
Alexander LeClair, Siyuan Jiang, Collin McMillan
cs.SEarXiv:1902.01954v12019A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
Wonseok Hwang, Jinyeong Yim, Seunghyun Park +1
cs.CLarXiv:1902.01069v22019UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Bin Li, Zesong Fei, Yan Zhang
cs.NIarXiv:1901.06637v12019A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
Amy Zhang, Nicolas Ballas, Joelle Pineau
cs.LGcs.AIstat.MLarXiv:1806.07937v22018Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning
Meixin Zhu, Xuesong Wang, Yinhai Wang
cs.LGcs.AIstat.MLarXiv:1901.00569v12019FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh
cs.NEcs.ARcs.CVarXiv:1901.00121v12019AIDE: AI-Driven Exploration in the Space of Code
Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth +4
cs.AIcs.LGarXiv:2502.13138v12025Emu3.5: Native Multimodal Models are World Learners
Yufeng Cui, Honghao Chen, Haoge Deng +20
cs.CVarXiv:2510.26583v12025Federated Learning via Over-the-Air Computation
Kai Yang, Tao Jiang, Yuanming Shi +1
cs.LGcs.ITeess.SParXiv:1812.11750v32018Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé +2
cs.HCcs.CYcs.LGarXiv:1812.05239v22018An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet, Peter Henderson, Riashat Islam +2
cs.LGcs.AIstat.MLarXiv:1811.12560v22018Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang, Wanrong Zhu, Michael Saxon +2
cs.CLcs.AIcs.LGarXiv:2301.11916v42023Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
Graham Gobieski, Nathan Beckmann, Brandon Lucia
cs.DCarXiv:1810.07751v22018Learning Models with Uniform Performance via Distributionally Robust Optimization
John Duchi, Hongseok Namkoong
stat.MLcs.LGarXiv:1810.08750v62018DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
Ingoo Lee, Jongsoo Keum, Hojung Nam
q-bio.QMcs.LGarXiv:1811.02114v12018Mixture Models, Robustness, and Sum of Squares Proofs
Samuel B. Hopkins, Jerry Li
cs.DSarXiv:1711.07454v12017Automated software vulnerability detection with machine learning
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell +13
cs.SEcs.LGstat.MLarXiv:1803.04497v22018The State of Speech in HCI: Trends, Themes and Challenges
Leigh Clark, Phillip Doyle, Diego Garaialde +7
cs.HCarXiv:1810.06828v12018Decentralized Applications: The Blockchain-Empowered Software System
Wei Cai, Zehua Wang, Jason B. Ernst +3
cs.DCcs.CRcs.CYarXiv:1810.05365v12018ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5
cs.ROcs.AIcs.GRarXiv:1810.01054v12018Identifying Quantum Phase Transitions using Artificial Neural Networks on Experimental Data
Benno S. Rem, Niklas Käming, Matthias Tarnowski +5
cond-mat.quant-gascond-mat.dis-nncond-mat.mes-hallarXiv:1809.05519v12018MiMo-V2-Flash Technical Report
Xiaomi LLM-Core Team, :, Bangjun Xiao +124
cs.CLcs.AIarXiv:2601.02780v22026Local resolution-limit-free Potts model for community detection
Peter Ronhovde, Zohar Nussinov
physics.soc-phcond-mat.stat-mecharXiv:0803.2548v42008Federated Quantum Machine Learning
Samuel Yen-Chi Chen, Shinjae Yoo
quant-phcs.AIcs.CRarXiv:2103.12010v12021MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
cs.LGcs.AIstat.MLarXiv:1809.02499v32018DP-ADMM: ADMM-based Distributed Learning with Differential Privacy
Zonghao Huang, Rui Hu, Yuanxiong Guo +2
cs.LGstat.MLarXiv:1808.10101v62018Recent advances in spin-orbit torques: Moving towards device applications
Rajagopalan Ramaswamy, Jong Min Lee, Kaiming Cai +1
cond-mat.mes-hallarXiv:1808.06829v12018Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids
Qifeng Chen, Vladlen Koltun
cs.CVarXiv:1604.03513v12016Quantum Circuit and Tensor Network Implementation of the 2D Acoustic Wave Equation
Tamas Nemeth, Gabor Vattay
quant-phcond-mat.dis-nncs.MSarXiv:2609.01904v12026Exploring Connections Between Active Learning and Model Extraction
Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli +2
cs.LGcs.CRstat.MLarXiv:1811.02054v62018Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38
cs.AIcs.LGstat.MLarXiv:2507.11473v22025Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
David Tellez, Maschenka Balkenhol, Irene Otte-Holler +10
cs.CVarXiv:1808.05896v12018A Two-Stage Approach for Combined Heat and Power Economic Emission Dispatch: Combining Multi-Objective Optimization with Integrated Decision Making
Yang Li, Jinlong Wang, Dongbo Zhao +2
math.OCarXiv:1808.05704v12018Rapid Fading Due to Human Blockage in Pedestrian Crowds at 5G Millimeter-Wave Frequencies
George R. MacCartney, Theodore S. Rappaport, Sundeep Rangan
cs.ITarXiv:1709.05883v22017Random Walks on Simplicial Complexes and the normalized Hodge 1-Laplacian
Michael T. Schaub, Austin R. Benson, Paul Horn +2
cs.SIcs.DMmath.ATarXiv:1807.05044v52018Orthogonal Time Frequency Space Modulation
Ronny Hadani, Shlomo Rakib, Shachar Kons +8
cs.ITarXiv:1808.00519v12018ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution
Robert Tjarko Lange, Yuki Imajuku, Edoardo Cetin
cs.CLcs.LGarXiv:2509.19349v12025Towards Optimal Power Control via Ensembling Deep Neural Networks
Fei Liang, Cong Shen, Wei Yu +1
eess.SPcs.ITstat.MLarXiv:1807.10025v22018OLGA: fast computation of generation probabilities of B- and T-cell receptor amino acid sequences and motifs
Zachary Sethna, Yuval Elhanati, Curtis G. Callan +2
q-bio.GNarXiv:1807.04425v22018Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron, Piotr Bojanowski, Armand Joulin +1
cs.CVarXiv:1807.05520v22018LIMO: Lidar-Monocular Visual Odometry
Johannes Graeter, Alexander Wilczynski, Martin Lauer
cs.ROeess.IVarXiv:1807.07524v12018Sparse Inverse Covariance Selection via Alternating Linearization Methods
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
cs.LGmath.OCstat.MLarXiv:1011.0097v12010Placement and Implementation of Grid-Forming and Grid-Following Virtual Inertia and Fast Frequency Response
Bala Kameshwar Poolla, Dominic Groß, Florian Dörfler
math.OCarXiv:1807.01942v42018Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
Ranesh Kumar Naha, Saurabh Garg, Dimitrios Georgakopoulos +4
cs.DCarXiv:1807.00976v12018Summaries:한국어Modeling the Random Orientation of Mobile Devices: Measurement, Analysis and LiFi Use Case
Mohammad Dehghani Soltani, Ardimas Andi Purwita, Zhihong Zeng +2
cs.ITarXiv:1805.07999v42018