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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21,601 to 21,660 of 120,040

Challenges and Strategies in Cross-Cultural NLP
Daniel Hershcovich, Stella Frank, Heather Lent +11
cs.CLarXiv:2203.10020v12022
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Wanwei He, Yinpei Dai, Yinhe Zheng +9
cs.CLarXiv:2111.14592v82021
Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
Tao Ge, Heming Xia, Xin Sun +2
cs.CLcs.LGarXiv:2205.10350v12022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
Yanwei Jia, Xun Yu Zhou
cs.LGcs.CEq-fin.CParXiv:2111.11232v22021
I$^2$SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang +3
cs.CVcs.LGstat.MLarXiv:2302.05872v32023
Nature-based solutions in the urban context: terminology, classification and scoring for urban challenges and ecosystem services
Joana. A. C. Castellar, Lucia . A. Popartan, Josep Pueyo-Ros +6
cs.CYphysics.soc-pharXiv:2105.07814v12021
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
Konstantin Mishchenko, Grigory Malinovsky, Sebastian Stich +1
cs.LGmath.OCarXiv:2202.09357v22022
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo
cs.LGcs.AIarXiv:2109.05472v22021
Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong, Wenbing Huang, Yang Liu
q-bio.BMcs.LGarXiv:2208.06073v62022
Deep Deterministic Uncertainty: A Simple Baseline
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort +2
cs.LGstat.MLarXiv:2102.11582v32021
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
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs +1
eess.IVcs.CVarXiv:2107.10912v12021
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
Jiaxin Li, Danfeng Hong, Lianru Gao +4
cs.CVcs.LGeess.SParXiv:2205.01380v12022
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
Marin Biloš, Kashif Rasul, Anderson Schneider +2
cs.LGarXiv:2211.02590v22022
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
cs.CVcs.LGstat.MLarXiv:2007.08714v22020
Non-parametric causal effects based on longitudinal modified treatment policies
Iván Díaz, Nicholas Williams, Katherine L. Hoffman +1
stat.MEarXiv:2006.01366v42020
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
Tianyu Chen, Hangbo Bao, Shaohan Huang +6
cs.CRcs.CLarXiv:2206.00216v22022
Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
Adam M. Boyce, Emilio Martínez-Pañeda, Aaron Wade +5
physics.chem-phcond-mat.mtrl-scics.CEarXiv:2202.09572v12022
Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi, Gilad Yehudai, Ohad Shamir
cs.LGarXiv:2202.04347v22022
The Finite Neuron Method and Convergence Analysis
Jinchao Xu
math.NAcs.NAarXiv:2010.01458v12020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amir Mosavi, Pedram Ghamisi, Yaser Faghan +1
q-fin.STcs.LGecon.GNarXiv:2004.01509v12020
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Jakob Mokander, Maria Axente, Federico Casolari +1
cs.CYcs.AIarXiv:2111.05071v12021
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim +5
cs.LGstat.MLarXiv:2110.02910v32021
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki +4
cs.LGstat.MLarXiv:2006.04064v32020
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ulku, Erdem Akagunduz
cs.CVarXiv:1912.10230v52019
Trend Filtering for Functional Data
Tomoya Wakayama, Shonosuke Sugasawa
stat.MEstat.COarXiv:2104.02456v32021
Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: a multidisciplinary comparison of coverage via citations
Alberto Martín-Martín, Mike Thelwall, Enrique Orduna-Malea +1
cs.DLarXiv:2004.14329v32020
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
Chen Xu, Bojie Hu, Yanyang Li +5
cs.CLcs.SDeess.ASarXiv:2105.05752v22021
'In-Between' Uncertainty in Bayesian Neural Networks
Andrew Y. K. Foong, Yingzhen Li, José Miguel Hernández-Lobato +1
stat.MLcs.AIcs.LGarXiv:1906.11537v12019
Unsupervised Speech Recognition
Alexei Baevski, Wei-Ning Hsu, Alexis Conneau +1
cs.CLcs.SDeess.ASarXiv:2105.11084v32021
On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel L. Smith, Benoit Dherin, David G. T. Barrett +1
cs.LGstat.MLarXiv:2101.12176v12021
Causal inference methods for combining randomized trials and observational studies: a review
Bénédicte Colnet, Imke Mayer, Guanhua Chen +6
stat.MEarXiv:2011.08047v42020
Approximate Bayesian computation with the Wasserstein distance
Espen Bernton, Pierre E. Jacob, Mathieu Gerber +1
stat.MEarXiv:1905.03747v12019
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li +5
cs.IRcs.CLcs.LGarXiv:2007.00808v22020
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma, Aman Shrivastava, Lubaina Ehsan +3
eess.IVcs.CVcs.LGarXiv:2103.10626v22021
Reinforcement Learning via Fenchel-Rockafellar Duality
Ofir Nachum, Bo Dai
cs.LGstat.MLarXiv:2001.01866v22020
A review of 3D human pose estimation algorithms for markerless motion capture
Yann Desmarais, Denis Mottet, Pierre Slangen +1
cs.CVarXiv:2010.06449v32020
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul +1
cs.CLcs.AIcs.LGarXiv:1908.08351v22019
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang, Phillip Isola
cs.LGcs.CVstat.MLarXiv:2005.10242v102020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos, Panagiotis Tigas, Rowan McAllister +3
cs.LGcs.ROstat.MLarXiv:2006.14911v22020
Survival regression with accelerated failure time model in XGBoost
Avinash Barnwal, Hyunsu Cho, Toby Dylan Hocking
cs.LGstat.MLarXiv:2006.04920v32020
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
cs.LOcs.AIcs.LGarXiv:1905.09381v12019
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondřej Dušek, Jekaterina Novikova, Verena Rieser
cs.CLarXiv:1901.07931v32019
Designing for Human Rights in AI
Evgeni Aizenberg, Jeroen van den Hoven
cs.CYcs.AIcs.LGarXiv:2005.04949v22020
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar +3
cs.CLarXiv:2005.00388v12020
On the Universality of Invariant Networks
Haggai Maron, Ethan Fetaya, Nimrod Segol +1
cs.LGstat.MLarXiv:1901.09342v42019
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Jun Li, Li Fuxin, Sinisa Todorovic
cs.LGstat.MLarXiv:2002.01113v12020
Competence Assessment as an Expert System for Human Resource Management: A Mathematical Approach
Mahdi Bohlouli, Nikolaos Mittas, George Kakarontzas +3
cs.CYcs.AIcs.SEarXiv:2001.09797v12020
A General Approach to Adding Differential Privacy to Iterative Training Procedures
H. Brendan McMahan, Galen Andrew, Ulfar Erlingsson +4
cs.LGstat.MLarXiv:1812.06210v22018
Scale-Equivariant Steerable Networks
Ivan Sosnovik, Michał Szmaja, Arnold Smeulders
cs.CVcs.LGstat.MLarXiv:1910.11093v22019
Mobile social media usage and academic performance
Fausto Giunchiglia, Mattia Zeni, Elisa Gobbi +2
cs.CYarXiv:2004.01392v12020
Quality of Uncertainty Quantification for Bayesian Neural Network Inference
Jiayu Yao, Weiwei Pan, Soumya Ghosh +1
cs.LGstat.MLarXiv:1906.09686v12019
Complex diffusion-weighted image estimation via matrix recovery under general noise models
Lucilio Cordero-Grande, Daan Christiaens, Jana Hutter +2
eess.IVstat.AParXiv:1812.05954v22018
A parametric model for wind turbine power curves incorporating environmental conditions
Yves-Marie Saint-Drenan, Romain Besseau, Malte Jansen +7
eess.SPphysics.app-pharXiv:1909.13780v12019
Tropical Geometry of Deep Neural Networks
Liwen Zhang, Gregory Naitzat, Lek-Heng Lim
cs.LGmath.AGstat.MLarXiv:1805.07091v12018
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks, Qiaozi Gao, Joyce Y. Chai
cs.CLarXiv:1904.01172v32019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Tian Guo, Tao Lin, Nino Antulov-Fantulin
cs.LGstat.MLarXiv:1905.12034v12019
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
Zhiwei Li, Huanfeng Shen, Qing Cheng +3
cs.CVarXiv:1810.05801v32018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye, Hossein Azizpour, Kevin Smith
stat.MLarXiv:1802.06455v22018
On the prediction of critical heat flux using a physics-informed machine learning-aided framework
Xingang Zhao, Koroush Shirvan, Robert K. Salko +1
physics.data-anphysics.app-phphysics.flu-dynarXiv:1906.11124v12019

Every paper with a summary

Challenges and Strategies in Cross-Cultural NLP

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms

I$^2$SB: Image-to-Image Schrödinger Bridge

Nature-based solutions in the urban context: terminology, classification and scoring for urban challenges and ecosystem services

ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!

Compute and Energy Consumption Trends in Deep Learning Inference

Conditional Antibody Design as 3D Equivariant Graph Translation

Deep Deterministic Uncertainty: A Simple Baseline

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

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources

Non-parametric causal effects based on longitudinal modified treatment policies

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling

Gradient Methods Provably Converge to Non-Robust Networks

The Finite Neuron Method and Convergence Analysis

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation

Equivariant Subgraph Aggregation Networks

Bayesian Graph Neural Networks with Adaptive Connection Sampling

A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images

Trend Filtering for Functional Data

Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: a multidisciplinary comparison of coverage via citations

Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

'In-Between' Uncertainty in Bayesian Neural Networks

Unsupervised Speech Recognition

On the Origin of Implicit Regularization in Stochastic Gradient Descent

Causal inference methods for combining randomized trials and observational studies: a review

Approximate Bayesian computation with the Wasserstein distance

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification

Reinforcement Learning via Fenchel-Rockafellar Duality

A review of 3D human pose estimation algorithms for markerless motion capture

Compositionality decomposed: how do neural networks generalise?

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

Survival regression with accelerated failure time model in XGBoost

Learning to Prove Theorems via Interacting with Proof Assistants

Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

Designing for Human Rights in AI

Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter

On the Universality of Invariant Networks

Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform

Competence Assessment as an Expert System for Human Resource Management: A Mathematical Approach

A General Approach to Adding Differential Privacy to Iterative Training Procedures

Scale-Equivariant Steerable Networks

Mobile social media usage and academic performance

Quality of Uncertainty Quantification for Bayesian Neural Network Inference

Complex diffusion-weighted image estimation via matrix recovery under general noise models

A parametric model for wind turbine power curves incorporating environmental conditions

Tropical Geometry of Deep Neural Networks

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

On the prediction of critical heat flux using a physics-informed machine learning-aided framework