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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21,661 to 21,720 of 120,040

On the Impact of the Activation Function on Deep Neural Networks Training
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
stat.MLcs.AIcs.LGarXiv:1902.06853v22019
Micro-Net: A unified model for segmentation of various objects in microscopy images
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban +5
cs.CVarXiv:1804.08145v22018
A Data Ecosystem to Support Machine Learning in Materials Science
Ben Blaiszik, Logan Ward, Marcus Schwarting +5
cond-mat.mtrl-sciphysics.comp-pharXiv:1904.10423v22019
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian +3
stat.MLcs.CYcs.LGarXiv:1802.04422v12018
Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang, Ofir Nachum
cs.LGcs.AIstat.MLarXiv:1901.04966v12019
A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov +2
cs.LGstat.MLarXiv:1810.11671v12018
Batch Informed Trees (BIT*): Informed Asymptotically Optimal Anytime Search
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
cs.ROarXiv:1707.01888v42017
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
Itamar Reis, Dalya Baron, Sahar Shahaf
astro-ph.IMcs.LGarXiv:1811.05994v12018
DRILL: Training World Models to Improve Policies, Not Predict Pixels
Zhaolu Kang, Tailong Luo, Lei Wei +9
cs.CVarXiv:2610.30814v12026
On the Turing Completeness of Modern Neural Network Architectures
Jorge Pérez, Javier Marinković, Pablo Barceló
cs.LGcs.FLstat.MLarXiv:1901.03429v12019
Structural neuroimaging as clinical predictor: a review of machine learning applications
José María Mateos-Pérez, Mahsa Dadar, María Lacalle-Aurioles +3
q-bio.QMarXiv:1806.03512v12018
Preference-based Online Learning with Dueling Bandits: A Survey
Viktor Bengs, Robert Busa-Fekete, Adil El Mesaoudi-Paul +1
cs.LGstat.MLarXiv:1807.11398v22018
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
Jacob Steinhardt, Moses Charikar, Gregory Valiant
cs.LGcs.AIcs.CCarXiv:1703.04940v32017
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
Ingoo Lee, Jongsoo Keum, Hojung Nam
q-bio.QMcs.LGarXiv:1811.02114v12018
The State of the Art in Integrating Machine Learning into Visual Analytics
A. Endert, W. Ribarsky, C. Turkay +4
stat.MLcs.HCcs.LGarXiv:1802.07954v12018
Recent Advances in Deep Learning: An Overview
Matiur Rahman Minar, Jibon Naher
cs.LGcs.AIstat.MLarXiv:1807.08169v12018
Deep Learning Markov Random Field for Semantic Segmentation
Ziwei Liu, Xiaoxiao Li, Ping Luo +2
cs.CVcs.LGarXiv:1606.07230v22016
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos, François Fleuret
cs.LGarXiv:1803.00942v32018
Machine learning methods for histopathological image analysis
Daisuke Komura, Shumpei Ishikawa
cs.CVarXiv:1709.00786v22017
A first look at browser-based Cryptojacking
Shayan Eskandari, Andreas Leoutsarakos, Troy Mursch +1
cs.CRcs.CYcs.HCarXiv:1803.02887v12018
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Lei Lin, Zhengbing He, Srinivas Peeta
stat.MLcs.LGarXiv:1712.04997v22017
Semi-automated Verification of Symbolic Invariants In Extended Symmetric Nets
Lorenzo Capra
cs.SCcs.SEarXiv:2609.34891v12026
Informational Braess' Paradox: The Effect of Information on Traffic Congestion
Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian +1
cs.GTarXiv:1601.02039v22016
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bezenac, Arthur Pajot, Patrick Gallinari
cs.AIcs.LGstat.MLarXiv:1711.07970v22017
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa +2
stat.MLcs.LGstat.MEarXiv:1803.11266v12018
Outlook for inverse design in nanophotonics
Sean Molesky, Zin Lin, Alexander Y. Piggott +3
physics.opticsarXiv:1801.06715v12018
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer +6
cs.LGcs.NEarXiv:1703.05051v52017
Hierarchical Clustering: Objective Functions and Algorithms
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn +1
cs.DScs.LGarXiv:1704.02147v12017
Learning Certifiably Optimal Rule Lists for Categorical Data
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi +2
stat.MLcs.LGarXiv:1704.01701v42017
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt, Matthew D. Hoffman, David M. Blei
stat.MLcs.LGarXiv:1704.04289v22017
Predicting University Students' Academic Success and Major using Random Forests
Cédric Beaulac, Jeffrey S. Rosenthal
stat.MLcs.LGarXiv:1802.03418v32018
Solar Modulation of Cosmic Rays
Marius Potgieter
physics.space-phastro-ph.SRarXiv:1306.4421v12013
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network
Jen Hong Tan, U. Rajendra Acharya, Sulatha V. Bhandary +2
cs.CVcs.LGarXiv:1702.00509v12017
An efficient surrogate model for emulation and physics extraction of large eddy simulations
Simon Mak, Chih-Li Sung, Xingjian Wang +5
stat.AParXiv:1611.07911v22016
Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging
Hongyoon Choi, Kyong Hwan Jin
cs.CVcs.AIstat.MLarXiv:1704.06033v12017
Slice-to-volume medical image registration: a survey
Enzo Ferrante, Nikos Paragios
cs.CVarXiv:1702.01636v22017
Critical comments on EEG sensor space dynamical connectivity analysis
Frederik van de Steen, Luca Faes, Esin Karahan +3
q-bio.NCstat.AParXiv:1607.03687v22016
What do different evaluation metrics tell us about saliency models?
Zoya Bylinskii, Tilke Judd, Aude Oliva +2
cs.CVarXiv:1604.03605v22016
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
cs.AIcs.LGstat.MLarXiv:1610.09900v22016
First-order Methods for Geodesically Convex Optimization
Hongyi Zhang, Suvrit Sra
math.OCcs.LGstat.MLarXiv:1602.06053v12016
Climate Change Research in View of Bibliometrics
Robin Haunschild, Lutz Bornmann, Werner Marx
cs.DLarXiv:1602.03834v22016
Efficient approaches for escaping higher order saddle points in non-convex optimization
Anima Anandkumar, Rong Ge
cs.LGstat.MLarXiv:1602.05908v12016
Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards
Omar Besbes, Yonatan Gur, Assaf Zeevi
cs.LGmath.OCmath.PRarXiv:1405.3316v22014
openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit
Maximilian Schmitt, Björn W. Schuller
cs.CVcs.CLcs.IRarXiv:1605.06778v12016
Happy software developers solve problems better: psychological measurements in empirical software engineering
Daniel Graziotin, Xiaofeng Wang, Pekka Abrahamsson
cs.SEcs.HCarXiv:1505.00922v12015
Analogical Dissimilarity: Definition, Algorithms and Two Experiments in Machine Learning
Laurent Miclet, Sabri Bayoudh, Arnaud Delhay
cs.LGcs.AIarXiv:1401.3427v12014
Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann, Phil Blunsom
cs.CLarXiv:1404.4641v12014
The Optimal Sample Complexity of PAC Learning
Steve Hanneke
cs.LGstat.MLarXiv:1507.00473v42015
Deep Learning for Video Classification and Captioning
Zuxuan Wu, Ting Yao, Yanwei Fu +1
cs.CVcs.MMarXiv:1609.06782v22016
MVLoMa: Multi-View Local Feature Matching with Any Geometry Foundation Model
Xinyang Lu, Shengzhe Wei, Sheng Tang +3
cs.CVarXiv:2610.31321v12026
SmolVLA-MoE: Sparse Mixture-of-Experts for Efficient Multi-Task Robotic Manipulation
Shiyang Zhang, Miao Yang, Zhengda Li +4
cs.CVarXiv:2610.30732v12026
Compiling Uncertainty Away in Conformant Planning Problems with Bounded Width
Hector Palacios, Hector Geffner
cs.AIarXiv:1401.3468v12014
A further step forward in measuring journals' scientific prestige: The SJR2 indicator
Vicente P. Guerrero-Bote, Felix Moya-Anegon
cs.DLarXiv:1201.4639v22012
Summaries:한국어
Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)
Werner Marx, Lutz Bornmann, Andreas Barth +1
cs.DLarXiv:1307.8239v12013
Classical Statistics and Statistical Learning in Imaging Neuroscience
Danilo Bzdok
stat.MLq-bio.NCarXiv:1603.01857v22016
Cost-Sensitive Support Vector Machines
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Arya Iranmehr
cs.LGstat.MLarXiv:1212.0975v22012
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
cs.ROcs.LGeess.SYarXiv:1602.04450v32016
Stochastic modified equations and adaptive stochastic gradient algorithms
Qianxiao Li, Cheng Tai, Weinan E
cs.LGstat.MLarXiv:1511.06251v32015
Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System
Ion Androutsopoulos, Gerasimos Lampouras, Dimitrios Galanis
cs.CLcs.AIarXiv:1405.6164v12014
Hypertableau Reasoning for Description Logics
Boris Motik, Rob Shearer, Ian Horrocks
cs.LOcs.AIarXiv:1401.3485v12014

Every paper with a summary

On the Impact of the Activation Function on Deep Neural Networks Training

Micro-Net: A unified model for segmentation of various objects in microscopy images

A Data Ecosystem to Support Machine Learning in Materials Science

A comparative study of fairness-enhancing interventions in machine learning

Identifying and Correcting Label Bias in Machine Learning

A no-regret generalization of hierarchical softmax to extreme multi-label classification

Batch Informed Trees (BIT*): Informed Asymptotically Optimal Anytime Search

Probabilistic Random Forest: A machine learning algorithm for noisy datasets

DRILL: Training World Models to Improve Policies, Not Predict Pixels

On the Turing Completeness of Modern Neural Network Architectures

Structural neuroimaging as clinical predictor: a review of machine learning applications

Preference-based Online Learning with Dueling Bandits: A Survey

Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers

DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

The State of the Art in Integrating Machine Learning into Visual Analytics

Recent Advances in Deep Learning: An Overview

Deep Learning Markov Random Field for Semantic Segmentation

Not All Samples Are Created Equal: Deep Learning with Importance Sampling

Machine learning methods for histopathological image analysis

A first look at browser-based Cryptojacking

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

Semi-automated Verification of Symbolic Invariants In Extended Symmetric Nets

Informational Braess' Paradox: The Effect of Information on Traffic Congestion

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data

Outlook for inverse design in nanophotonics

Deep learning with convolutional neural networks for EEG decoding and visualization

Hierarchical Clustering: Objective Functions and Algorithms

Learning Certifiably Optimal Rule Lists for Categorical Data

Stochastic Gradient Descent as Approximate Bayesian Inference

Predicting University Students' Academic Success and Major using Random Forests

Solar Modulation of Cosmic Rays

Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network

An efficient surrogate model for emulation and physics extraction of large eddy simulations

Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging

Slice-to-volume medical image registration: a survey

Critical comments on EEG sensor space dynamical connectivity analysis

What do different evaluation metrics tell us about saliency models?

Inference Compilation and Universal Probabilistic Programming

First-order Methods for Geodesically Convex Optimization

Climate Change Research in View of Bibliometrics

Efficient approaches for escaping higher order saddle points in non-convex optimization

Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards

openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit

Happy software developers solve problems better: psychological measurements in empirical software engineering

Analogical Dissimilarity: Definition, Algorithms and Two Experiments in Machine Learning

Multilingual Models for Compositional Distributed Semantics

The Optimal Sample Complexity of PAC Learning

Deep Learning for Video Classification and Captioning

MVLoMa: Multi-View Local Feature Matching with Any Geometry Foundation Model

SmolVLA-MoE: Sparse Mixture-of-Experts for Efficient Multi-Task Robotic Manipulation

Compiling Uncertainty Away in Conformant Planning Problems with Bounded Width

A further step forward in measuring journals' scientific prestige: The SJR2 indicator

Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)

Classical Statistics and Statistical Learning in Imaging Neuroscience

Cost-Sensitive Support Vector Machines

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

Stochastic modified equations and adaptive stochastic gradient algorithms

Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System

Hypertableau Reasoning for Description Logics