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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38,101 to 38,160 of 61,132

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation
Axel Sauer, Frederic Boesel, Tim Dockhorn +3
cs.CVarXiv:2403.12015v12024
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song, Reza Shokri, Prateek Mittal
stat.MLcs.CRcs.LGarXiv:1905.10291v32019
PyMatching: A Python package for decoding quantum codes with minimum-weight perfect matching
Oscar Higgott
quant-pharXiv:2105.13082v22021
A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration
Juan M. Banda, Ramya Tekumalla, Guanyu Wang +6
cs.SIcs.IRarXiv:2004.03688v22020
Efficient quantum algorithm for dissipative nonlinear differential equations
Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi +3
quant-phmath.NAphysics.plasm-pharXiv:2011.03185v42020
End-to-end symbolic regression with transformers
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample +1
cs.LGarXiv:2204.10532v12022
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Roi Cohen, Eden Biran, Ori Yoran +2
cs.CLarXiv:2307.12976v22023
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
Filippo Simini, Gianni Barlacchi, Massimiliano Luca +1
cs.LGcs.SIarXiv:2012.00489v52020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu, Haoming Cai, Haoyu Chen +3
eess.IVcs.CVarXiv:2007.12142v22020
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
Liangzhi Li, Manisha Verma, Yuta Nakashima +2
eess.IVcs.CVarXiv:1912.05763v12019
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu, Wei Fang, Jianhao Ding +3
cs.NEarXiv:2303.04347v12023
AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
Junyang Wang, Yuhang Wang, Guohai Xu +8
cs.CLcs.CVarXiv:2311.07397v22023
On The Computational Complexity of Self-Attention
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
cs.LGcs.CCarXiv:2209.04881v12022
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Anthony Zador, Sean Escola, Blake Richards +24
cs.AIq-bio.NCarXiv:2210.08340v32022
Shapley values for feature selection: The good, the bad, and the axioms
Daniel Fryer, Inga Strümke, Hien Nguyen
cs.LGcs.AIstat.MLarXiv:2102.10936v12021
Multi-Channel Graph Neural Network for Entity Alignment
Yixin Cao, Zhiyuan Liu, Chengjiang Li +3
cs.CLarXiv:1908.09898v12019
Locust Dynamics: Behavioral Phase Change and Swarming
Chad M. Topaz, Maria R. D'Orsogna, Leah Edelstein-Keshet +1
q-bio.QMnlin.PSarXiv:1207.4968v12012
Hyperbolic Cross Approximation
Dinh Dũng, Vladimir N. Temlyakov, Tino Ullrich
math.NAarXiv:1601.03978v32016
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas, Abbas Sadat, Raquel Urtasun
cs.ROcs.AIcs.CVarXiv:2101.06806v12021
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi +3
cs.CVcs.AIcs.LGarXiv:2406.02507v32024
Chaos, Complexity, and Random Matrices
Jordan Cotler, Nicholas Hunter-Jones, Junyu Liu +1
hep-thcond-mat.stat-mechquant-pharXiv:1706.05400v22017
Design Principles for Generative AI Applications
Justin D. Weisz, Jessica He, Michael Muller +3
cs.HCcs.AIarXiv:2401.14484v12024
Propagation Kernels
Marion Neumann, Roman Garnett, Christian Bauckhage +1
stat.MLcs.LGarXiv:1410.3314v12014
Multi-Modal Knowledge Graph Construction and Application: A Survey
Xiangru Zhu, Zhixu Li, Xiaodan Wang +5
cs.AIcs.CLcs.CVarXiv:2202.05786v22022
Hamilton-Jacobi formulation for reach-avoid differential games
Kostas Margellos, John Lygeros
math.OCarXiv:0911.4625v12009
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy
Ninghui Li, Wahbeh Qardaji, Dong Su
cs.CRarXiv:1101.2604v22011
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran, Alp Kucukelbir, Adji B. Dieng +3
stat.COcs.AIcs.PLarXiv:1610.09787v32016
PINT: Probabilistic In-band Network Telemetry
Ran Ben Basat, Sivaramakrishnan Ramanathan, Yuliang Li +3
cs.NIcs.DCarXiv:2007.03731v12020
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski +40
cs.CVcs.CLcs.LGarXiv:2305.18565v12023
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Upol Ehsan, Mark O. Riedl
cs.HCcs.AIarXiv:2002.01092v22020
Brain covariance selection: better individual functional connectivity models using population prior
Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline +1
stat.MLq-bio.NCarXiv:1008.5071v42010
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
Zhenyu Li, Xuyang Wang, Xianming Liu +1
cs.CVarXiv:2204.00987v12022
Price dynamics in a Markovian limit order market
Rama Cont, Adrien De Larrard
q-fin.TRq-fin.STarXiv:1104.4596v12011
Algorithmic Stability for Adaptive Data Analysis
Raef Bassily, Kobbi Nissim, Adam Smith +3
cs.LGcs.CRcs.DSarXiv:1511.02513v12015
Deepfake Video Detection Using Convolutional Vision Transformer
Deressa Wodajo, Solomon Atnafu
cs.CVarXiv:2102.11126v32021
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik +3
cs.CVarXiv:1901.11489v12019
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
Qiming Zhang, Yufei Xu, Jing Zhang +1
cs.CVarXiv:2202.10108v22022
The loss surface of deep and wide neural networks
Quynh Nguyen, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1704.08045v22017
DenseNet for Dense Flow
Yi Zhu, Shawn Newsam
cs.CVcs.MMarXiv:1707.06316v12017
ChipNeMo: Domain-Adapted LLMs for Chip Design
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby +39
cs.CLarXiv:2311.00176v52023
Identifying a set of influential spreaders in complex networks
Jian-Xiong Zhang, Duan-Bing Chen, Qiang Dong +1
cs.SIphysics.soc-pharXiv:1602.00070v22016
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Su Wang, Chitwan Saharia, Ceslee Montgomery +11
cs.CVcs.AIarXiv:2212.06909v22022
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan
cs.CVarXiv:1706.02071v12017
A Multi-Object Rectified Attention Network for Scene Text Recognition
Canjie Luo, Lianwen Jin, Zenghui Sun
cs.CVarXiv:1901.03003v12019
Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing
Xiaowen Cao, Feng Wang, Jie Xu +2
cs.ITarXiv:1805.05906v22018
Zero Shot Recognition with Unreliable Attributes
Dinesh Jayaraman, Kristen Grauman
cs.CVstat.MLarXiv:1409.4327v22014
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Ari Holtzman, Peter West, Vered Shwartz +2
cs.CLarXiv:2104.08315v92021
Single Image Portrait Relighting
Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai +7
cs.GRcs.CVeess.IVarXiv:1905.00824v12019
ResT: An Efficient Transformer for Visual Recognition
Qinglong Zhang, Yubin Yang
cs.CVarXiv:2105.13677v52021
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He +2
cs.CVarXiv:1711.10370v22017
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images
S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez +10
eess.IVcs.CVarXiv:2006.01409v32020
A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
Zijun Liu, Yanzhe Zhang, Peng Li +2
cs.CLcs.AIcs.MAarXiv:2310.02170v22023
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
Ambra Demontis, Marco Melis, Battista Biggio +6
cs.CRarXiv:1704.08996v12017
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martin Larocca, Piotr Czarnik, Kunal Sharma +3
quant-pharXiv:2105.14377v32021
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
Jaemin Cho, Abhay Zala, Mohit Bansal
cs.CVcs.AIcs.CLarXiv:2202.04053v32022
Disentangled Sequential Autoencoder
Yingzhen Li, Stephan Mandt
cs.LGarXiv:1803.02991v22018
Parallel and Distributed Methods for Nonconvex Optimization--Part II: Applications
Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello +2
cs.ITcs.DCarXiv:1601.04059v12016
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng +2
cs.CVarXiv:2003.06988v12020
Context-Aware Emotion Recognition Networks
Jiyoung Lee, Seungryong Kim, Sunok Kim +2
cs.CVcs.HCcs.MMarXiv:1908.05913v12019
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
Jinyan Su, Terry Yue Zhuo, Di Wang +1
cs.CLcs.AIarXiv:2306.05540v12023

Every paper with a summary

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Privacy Risks of Securing Machine Learning Models against Adversarial Examples

PyMatching: A Python package for decoding quantum codes with minimum-weight perfect matching

A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration

Efficient quantum algorithm for dissipative nonlinear differential equations

End-to-end symbolic regression with transformers

Evaluating the Ripple Effects of Knowledge Editing in Language Models

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

On The Computational Complexity of Self-Attention

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Shapley values for feature selection: The good, the bad, and the axioms

Multi-Channel Graph Neural Network for Entity Alignment

Locust Dynamics: Behavioral Phase Change and Swarming

Hyperbolic Cross Approximation

MP3: A Unified Model to Map, Perceive, Predict and Plan

Guiding a Diffusion Model with a Bad Version of Itself

Chaos, Complexity, and Random Matrices

Design Principles for Generative AI Applications

Propagation Kernels

Multi-Modal Knowledge Graph Construction and Application: A Survey

Hamilton-Jacobi formulation for reach-avoid differential games

On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy

Edward: A library for probabilistic modeling, inference, and criticism

PINT: Probabilistic In-band Network Telemetry

PaLI-X: On Scaling up a Multilingual Vision and Language Model

Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach

Brain covariance selection: better individual functional connectivity models using population prior

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

Price dynamics in a Markovian limit order market

Algorithmic Stability for Adaptive Data Analysis

Deepfake Video Detection Using Convolutional Vision Transformer

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond

The loss surface of deep and wide neural networks

DenseNet for Dense Flow

ChipNeMo: Domain-Adapted LLMs for Chip Design

Identifying a set of influential spreaders in complex networks

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting

DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

A Multi-Object Rectified Attention Network for Scene Text Recognition

Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing

Zero Shot Recognition with Unreliable Attributes

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right

Single Image Portrait Relighting

ResT: An Efficient Transformer for Visual Recognition

Learning to Segment Every Thing

COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Diagnosing Barren Plateaus with Tools from Quantum Optimal Control

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

Disentangled Sequential Autoencoder

Parallel and Distributed Methods for Nonconvex Optimization--Part II: Applications

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

Context-Aware Emotion Recognition Networks

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text