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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41,101 to 41,160 of 61,344

Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin +1
cs.LGarXiv:1207.4404v12012
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
Xizhou Zhu, Yuntao Chen, Hao Tian +10
cs.AIcs.CLcs.CVarXiv:2305.17144v22023
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio +20
cs.CVcs.CRcs.LGarXiv:1804.00097v12018
A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets
Bernhard Kerbl, Andréas Meuleman, Georgios Kopanas +3
cs.CVcs.GRarXiv:2406.12080v12024
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration
Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell +1
cs.DBcs.LGarXiv:1203.0058v12012
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Zhengzhong Tu, Yilin Wang, Neil Birkbeck +2
cs.CVeess.IVarXiv:2005.14354v22020
Statistical Inference for Partially Observed Markov Processes via the R Package pomp
Aaron A. King, Dao Nguyen, Edward L. Ionides
stat.MEarXiv:1509.00503v22015
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao, Yongming Rao, Zuyan Liu +3
cs.CVarXiv:2303.02153v12023
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection
Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt +3
cs.CLarXiv:2310.10482v12023
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Ty Nguyen, Steven W. Chen, Shreyas S. Shivakumar +2
cs.CVarXiv:1709.03966v32017
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li, Caiming Xiong, Steven Hoi
cs.LGcs.CVarXiv:2011.11183v22020
Graphene-Based Integrated Photonics For Next-Generation Datacom And Telecom
M. Romagnoli, V. Sorianello, M. Midrio +7
physics.app-pharXiv:1906.00353v12019
Benchmarking and Survey of Explanation Methods for Black Box Models
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti +3
cs.AIcs.CYcs.LGarXiv:2102.13076v12021
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge +1
cs.LGphysics.chem-phstat.MLarXiv:1903.04388v32019
Safe Reinforcement Learning Using Robust MPC
Mario Zanon, Sébastien Gros
eess.SYarXiv:1906.04005v22019
gsplat: An Open-Source Library for Gaussian Splatting
Vickie Ye, Ruilong Li, Justin Kerr +8
cs.CVarXiv:2409.06765v12024
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh S. Vempala, Andre Wibisono
cs.DScs.LGmath.PRarXiv:1903.08568v42019
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Guolei Sun, Wenguan Wang, Jifeng Dai +1
cs.CVcs.LGeess.IVarXiv:2007.01947v22020
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein +2
cs.NEcs.CVcs.LGarXiv:1904.03137v42019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou, Florian Tramèr, Giancarlo Pellegrino
cs.CRarXiv:1812.00292v42018
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Bojan Kolosnjaji, Ambra Demontis, Battista Biggio +4
cs.CRarXiv:1803.04173v12018
Optimal tuning of the Hybrid Monte-Carlo Algorithm
Alexandros Beskos, Natesh S. Pillai, Gareth O. Roberts +2
math.PRmath.NAarXiv:1001.4460v12010
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
Zilong Lin, Yong Shi, Zhi Xue
cs.CRcs.AIarXiv:1809.02077v52018
A General Framework for Uncertainty Estimation in Deep Learning
Antonio Loquercio, Mattia Segù, Davide Scaramuzza
cs.CVstat.MLarXiv:1907.06890v42019
Differentiation of Blackbox Combinatorial Solvers
Marin Vlastelica, Anselm Paulus, Vít Musil +2
cs.LGstat.MLarXiv:1912.02175v22019
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
Shuang Li, Slawomir Bak, Peter Carr +1
cs.CVarXiv:1803.09882v12018
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Hu Xu, Bing Liu, Lei Shu +1
cs.CLarXiv:1805.04601v12018
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu, Anbu Huang, Yun Luo +7
cs.LGcs.CVstat.MLarXiv:2001.06202v12020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva, Yoav Goldberg, Jonathan Berant
cs.CLarXiv:1908.07898v22019
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo +3
cs.CVcs.LGstat.MLarXiv:1910.01842v12019
Federated Learning: Opportunities and Challenges
Priyanka Mary Mammen
cs.LGcs.DCarXiv:2101.05428v12021
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll, Kerstin Hammernik, Chi Zhang +4
eess.SPcs.CVcs.LGarXiv:1904.01112v12019
All Optical Neural Network with Nonlinear Activation Functions
Ying Zuo, Bohan Li, Yujun Zhao +6
physics.opticscond-mat.dis-nnarXiv:1904.10819v12019
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence
Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang +4
cs.NIarXiv:1808.01053v12018
The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation
Jochen Hartmann, Jasper Schwenzow, Maximilian Witte
cs.CLcs.CYarXiv:2301.01768v12023
ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchan
cs.LGcs.AIarXiv:2301.04655v12023
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition
Pan Zhang, Xiaoyi Dong, Bin Wang +18
cs.CVarXiv:2309.15112v52023
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
Cong Liao, Haoti Zhong, Anna Squicciarini +2
cs.CRcs.LGstat.MLarXiv:1808.10307v12018
Uplink Non-Orthogonal Multiple Access for 5G Wireless Networks
Mohammed Al-Imari, Pei Xiao, Muhammad Ali Imran +1
cs.ITcs.NIarXiv:1705.04108v12017
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, Aditya Krishna Menon, Robert C. Williamson
cs.LGarXiv:1505.07634v12015
Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition
Scott T. M. Dawson, Maziar S. Hemati, Matthew O. Williams +1
physics.flu-dynarXiv:1507.02264v32015
Commonsense Knowledge Mining from Pretrained Models
Joshua Feldman, Joe Davison, Alexander M. Rush
cs.CLcs.AIcs.LGarXiv:1909.00505v12019
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of neoHebbian Three-Factor Learning Rules
Wulfram Gerstner, Marco Lehmann, Vasiliki Liakoni +2
q-bio.NCarXiv:1801.05219v12018
Learning to Reconstruct People in Clothing from a Single RGB Camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar +2
cs.CVarXiv:1903.05885v22019
Joint Spatial Division and Multiplexing for mm-Wave Channels
Ansuman Adhikary, Ebrahim Al Safadi, Mathew Samimi +4
cs.ITarXiv:1312.2045v32013
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
Hao Shao, Shengju Qian, Han Xiao +5
cs.CVarXiv:2403.16999v32024
Listing All Maximal Cliques in Large Sparse Real-World Graphs
David Eppstein, Darren Strash
cs.DSarXiv:1103.0318v12011
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Zihao Wang, Xihui Liu, Hongsheng Li +4
cs.CVarXiv:1909.05506v12019
Transformers are Sample-Efficient World Models
Vincent Micheli, Eloi Alonso, François Fleuret
cs.LGcs.AIcs.CVarXiv:2209.00588v22022
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song, Rui Shu, Nate Kushman +1
cs.LGcs.AIcs.CRarXiv:1805.07894v42018
Learning to Diversify for Single Domain Generalization
Zijian Wang, Yadan Luo, Ruihong Qiu +2
cs.CVarXiv:2108.11726v32021
IMLS-SLAM: scan-to-model matching based on 3D data
Jean-Emmanuel Deschaud
cs.ROarXiv:1802.08633v12018
The Effect of Sampling Temperature on Problem Solving in Large Language Models
Matthew Renze, Erhan Guven
cs.CLcs.AIarXiv:2402.05201v32024
Effective Face Frontalization in Unconstrained Images
Tal Hassner, Shai Harel, Eran Paz +1
cs.CVarXiv:1411.7964v12014
robumeta: An R-package for robust variance estimation in meta-analysis
Zachary Fisher, Elizabeth Tipton
stat.MEarXiv:1503.02220v12015
Improving Topic Models with Latent Feature Word Representations
Dat Quoc Nguyen, Richard Billingsley, Lan Du +1
cs.CLcs.IRcs.LGarXiv:1810.06306v12018
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Soubhik Sanyal, Timo Bolkart, Haiwen Feng +1
cs.CVarXiv:1905.06817v12019
Deep Joint Entity Disambiguation with Local Neural Attention
Octavian-Eugen Ganea, Thomas Hofmann
cs.CLarXiv:1704.04920v32017
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
Saturnino Luz, Fasih Haider, Sofia de la Fuente +2
eess.AScs.LGstat.MLarXiv:2004.06833v32020
Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques
Mengnan Jian, George C. Alexandropoulos, Ertugrul Basar +4
cs.ITeess.SParXiv:2203.03176v12022

Every paper with a summary

Better Mixing via Deep Representations

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Adversarial Attacks and Defences Competition

A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets

A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration

UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content

Statistical Inference for Partially Observed Markov Processes via the R Package pomp

Unleashing Text-to-Image Diffusion Models for Visual Perception

xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Graphene-Based Integrated Photonics For Next-Generation Datacom And Telecom

Benchmarking and Survey of Explanation Methods for Black Box Models

Deep learning for molecular design - a review of the state of the art

Safe Reinforcement Learning Using Robust MPC

gsplat: An Open-Source Library for Gaussian Splatting

Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

Optimal tuning of the Hybrid Monte-Carlo Algorithm

IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection

A General Framework for Uncertainty Estimation in Deep Learning

Differentiation of Blackbox Combinatorial Solvers

Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

SELF: Learning to Filter Noisy Labels with Self-Ensembling

Federated Learning: Opportunities and Challenges

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

All Optical Neural Network with Nonlinear Activation Functions

Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation

ChatGPT is not all you need. A State of the Art Review of large Generative AI models

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation

Uplink Non-Orthogonal Multiple Access for 5G Wireless Networks

Learning with Symmetric Label Noise: The Importance of Being Unhinged

Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

Commonsense Knowledge Mining from Pretrained Models

Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of neoHebbian Three-Factor Learning Rules

Learning to Reconstruct People in Clothing from a Single RGB Camera

Joint Spatial Division and Multiplexing for mm-Wave Channels

Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning

Listing All Maximal Cliques in Large Sparse Real-World Graphs

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

Transformers are Sample-Efficient World Models

Constructing Unrestricted Adversarial Examples with Generative Models

Learning to Diversify for Single Domain Generalization

IMLS-SLAM: scan-to-model matching based on 3D data

The Effect of Sampling Temperature on Problem Solving in Large Language Models

Effective Face Frontalization in Unconstrained Images

robumeta: An R-package for robust variance estimation in meta-analysis

Improving Topic Models with Latent Feature Word Representations

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Deep Joint Entity Disambiguation with Local Neural Attention

Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques