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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27,061 to 27,120 of 61,133

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
Christopher E Moody
cs.CLarXiv:1605.02019v12016
Unsupervised Question Decomposition for Question Answering
Ethan Perez, Patrick Lewis, Wen-tau Yih +2
cs.CLcs.AIcs.LGarXiv:2002.09758v32020
SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective
James Di Novo, Hany Ragab, Sylvain P. Leblanc
cs.CRcs.LGarXiv:2609.02741v12026
The Serverless Computing Survey: A Technical Primer for Design Architecture
Zijun Li, Linsong Guo, Jiagan Cheng +3
cs.DCarXiv:2112.12921v22021
Integrating Document Clustering and Topic Modeling
Pengtao Xie, Eric P. Xing
cs.LGcs.CLcs.IRarXiv:1309.6874v12013
Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
Zhen Gao, Linglong Dai, Wei Dai +2
cs.ITarXiv:1512.02918v32015
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:1903.08548v22019
Network-Aware Forecasting on Wireless Access Points
Niloo Bahadori, Swadhin Pradhan, Peiman Amini
cs.NIcs.LGarXiv:2609.01957v12026
Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
Davide Albanese, Michele Filosi, Roberto Visintainer +3
stat.MLq-bio.QMarXiv:1208.4271v22012
Discrete Time Mean-Field Stochastic Linear-Quadratic Optimal Control Problems
Robert. J Elliott, Xun Li, Yuan-Hua Ni
math.OCarXiv:1302.6416v22013
Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection
Chen Wu, Bo Du, Liangpei Zhang
cs.CVcs.AIeess.IVarXiv:2201.06030v12022
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg +1
cs.CVcs.LGarXiv:2108.09038v12021
Boreas: A Multi-Season Autonomous Driving Dataset
Keenan Burnett, David J. Yoon, Yuchen Wu +9
cs.ROarXiv:2203.10168v22022
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng, Ming Jin, Yixin Liu +3
cs.LGarXiv:2108.09896v22021
Differentiable Electricity-Market Clearing for Gradient-Based Planning
Luca Mungo, Maarten P. Scholl, Arnau Quera-Bofarull
cs.LGcs.CYarXiv:2609.02646v12026
OpenXAI: Towards a Transparent Evaluation of Model Explanations
Chirag Agarwal, Dan Ley, Satyapriya Krishna +6
cs.LGcs.AIarXiv:2206.11104v52022
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu, Mihir Sahasrabudhe, Alp Guler +3
cs.CVarXiv:1806.06503v12018
Estimating the Coherence of Noise
Joel J. Wallman, Christopher Granade, Robin Harper +1
quant-pharXiv:1503.07865v42015
Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web
Dennis Trautwein, Aravindh Raman, Gareth Tyson +5
cs.NIarXiv:2208.05877v12022
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
Emre Neftci, Srinjoy Das, Bruno Pedroni +2
cs.NEq-bio.NCarXiv:1311.0966v32013
Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security
Nanchi Su, Fan Liu, Christos Masouros
eess.SParXiv:2210.08286v12022
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka +1
cs.LGcs.AIstat.MLarXiv:1206.6386v12012
Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu +3
cs.CLarXiv:2011.01675v22020
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Lior Shani, Yonathan Efroni, Shie Mannor
cs.LGmath.OCstat.MLarXiv:1909.02769v22019
LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images
Vishnu Prasad Vijaya Kumar, Santhosh Venkatesh, Ivan P. Yamshchikov
cs.CVcs.CLarXiv:2609.02207v12026
Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Xinyu Gao, Linglong Dai, Shuangfeng Han +2
cs.ITarXiv:1707.07624v22017
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Bin Liu, Chenxu Zhu, Guilin Li +6
cs.LGcs.IRstat.MLarXiv:2003.11235v32020
DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
Xiaoliang Chen, Baojia Li, Roberto Proietti +3
cs.NIcs.LGeess.SParXiv:1905.02248v22019
Consistency Thresholds for the Planted Bisection Model
Elchanan Mossel, Joe Neeman, Allan Sly
math.PRcs.SIarXiv:1407.1591v52014
Image Generation From Small Datasets via Batch Statistics Adaptation
Atsuhiro Noguchi, Tatsuya Harada
cs.CVarXiv:1904.01774v42019
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Yuhao Zhang, Derek Merck, Emily Bao Tsai +2
cs.CLarXiv:1911.02541v32019
CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning
Chao Feng, Burkhard Stiller
cs.LGcs.DCarXiv:2609.02450v12026
Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments
Victor Chernozhukov, Christian Hansen, Martin Spindler
stat.APecon.EMarXiv:1501.03185v12015
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui, Yanlin Liu, Yuxing Li +6
cs.CVarXiv:1903.01248v12019
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
Kai Shu, Deepak Mahudeswaran, Suhang Wang +1
cs.SIarXiv:1903.09196v12019
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis +15
cs.LGcs.CVcs.SDarXiv:1812.11214v32018
DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation
Wei Zhang, Hongji Li, Song Sun +4
cs.LGarXiv:2609.02170v12026
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Zhaozheng Chen, Tan Wang, Xiongwei Wu +3
cs.CVarXiv:2203.00962v12022
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa +1
cs.CLcs.IRarXiv:1906.04684v12019
Compositional Spectral Prompts for LLM-based Online Time Series Forecasting
Seungyoon Choi, Hyunchul Kim, Jae-Gil Lee +1
cs.LGarXiv:2609.02093v12026
TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document
Yuliang Liu, Biao Yang, Qiang Liu +4
cs.CVcs.AIarXiv:2403.04473v22024
A knockoff filter for high-dimensional selective inference
Rina Foygel Barber, Emmanuel J. Candes
stat.MEmath.STarXiv:1602.03574v32016
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang, Virat Shejwalkar, Reza Shokri +1
stat.MLcs.CRcs.LGarXiv:1912.11279v12019
mGPT: Few-Shot Learners Go Multilingual
Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova +3
cs.CLcs.AIarXiv:2204.07580v22022
On Constrained Spectral Clustering and Its Applications
Xiang Wang, Buyue Qian, Ian Davidson
cs.LGstat.MLarXiv:1201.5338v22012
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer, Gilles Louppe, Juan Pavez +1
stat.MLcs.LGhep-pharXiv:1805.12244v42018
Model Reconstruction from Model Explanations
Smitha Milli, Ludwig Schmidt, Anca D. Dragan +1
stat.MLcs.LGarXiv:1807.05185v12018
Selective Knowledge Edit Reversal via Gated Singular Vector Shrinkage
Weifeng Jiang, Ruirui Chen, Qianren Mao +3
cs.CLarXiv:2609.02091v12026
Learned Point Cloud Geometry Compression
Jianqiang Wang, Hao Zhu, Zhan Ma +3
cs.CVeess.IVarXiv:1909.12037v12019
Discovering Cyclic Causal Models by Independent Components Analysis
Gustavo Lacerda, Peter L. Spirtes, Joseph Ramsey +1
cs.AIstat.MEarXiv:1206.3273v12012
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani, Zhiyao Luo, Emerson Wenzel +1
cs.ROarXiv:2010.08184v32020
Characterizing the speed and paths of shared bicycles in Lyon
Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht +1
cs.SIarXiv:1011.6266v12010
How Output Format Confounds Data Quality and Capability in Instruction Tuning
Chengguang Gan, Hanjun Wei, Yunhao Liang +3
cs.CLarXiv:2609.02015v12026
Switchable Whitening for Deep Representation Learning
Xingang Pan, Xiaohang Zhan, Jianping Shi +2
cs.CVarXiv:1904.09739v42019
Transfer Safety Awareness for Cross-Modal Safety Drift in Multimodal Large Language Models
Tianqi Xiao, Shiyao Cui, Minghao Zhang +2
cs.MMcs.AIcs.CLarXiv:2609.02082v12026
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
Murtadha D. Hssayeni, M. S., Muayad S. Croock +9
eess.IVcs.CVarXiv:1910.08643v22019
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He, Zhewei Wei, Ji-Rong Wen
cs.LGcs.AIarXiv:2202.03580v52022
Deep Convolutional Neural Network to Detect J-UNIWARD
Guanshuo Xu
cs.MMarXiv:1704.08378v12017
Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models
Jayakumar Manoharan, Yamini Sehgal
eess.SYcs.AIcs.IRarXiv:2609.02011v12026
Toward a Spectral Theory of Cellular Sheaves
Jakob Hansen, Robert Ghrist
math.ATmath.COarXiv:1808.01513v22018

Every paper with a summary

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

Unsupervised Question Decomposition for Question Answering

SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective

The Serverless Computing Survey: A Technical Primer for Design Architecture

Integrating Document Clustering and Topic Modeling

Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Network-Aware Forecasting on Wireless Access Points

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

Discrete Time Mean-Field Stochastic Linear-Quadratic Optimal Control Problems

Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection

Is it Time to Replace CNNs with Transformers for Medical Images?

Boreas: A Multi-Season Autonomous Driving Dataset

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection

Differentiable Electricity-Market Clearing for Gradient-Based Planning

OpenXAI: Towards a Transparent Evaluation of Model Explanations

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Estimating the Coherence of Noise

Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems

Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

Joint Entity and Relation Extraction with Set Prediction Networks

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs

LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images

Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

Consistency Thresholds for the Planted Bisection Model

Image Generation From Small Datasets via Batch Statistics Adaptation

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation

Kymatio: Scattering Transforms in Python

DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation

Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

A knockoff filter for high-dimensional selective inference

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

mGPT: Few-Shot Learners Go Multilingual

On Constrained Spectral Clustering and Its Applications

Mining gold from implicit models to improve likelihood-free inference

Model Reconstruction from Model Explanations

Selective Knowledge Edit Reversal via Gated Singular Vector Shrinkage

Learned Point Cloud Geometry Compression

Discovering Cyclic Causal Models by Independent Components Analysis

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong

Characterizing the speed and paths of shared bicycles in Lyon

How Output Format Confounds Data Quality and Capability in Instruction Tuning

Switchable Whitening for Deep Representation Learning

Transfer Safety Awareness for Cross-Modal Safety Drift in Multimodal Large Language Models

Intracranial Hemorrhage Segmentation Using Deep Convolutional Model

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Deep Convolutional Neural Network to Detect J-UNIWARD

Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models

Toward a Spectral Theory of Cellular Sheaves