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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62,281 to 62,340 of 104,882

Lookahead Optimizer: k steps forward, 1 step back
Michael R. Zhang, James Lucas, Geoffrey Hinton +1
cs.LGcs.NEstat.MLarXiv:1907.08610v22019
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu, Chenglin Xu, Daquan Zhou +2
cs.NEarXiv:2007.01204v12020
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes +2
cs.CLcs.LGarXiv:2109.11406v12021
MacroBase: Prioritizing Attention in Fast Data
Peter Bailis, Edward Gan, Samuel Madden +3
cs.DBarXiv:1603.00567v42016
Universal Phone Recognition with a Multilingual Allophone System
Xinjian Li, Siddharth Dalmia, Juncheng Li +8
cs.CLcs.SDeess.ASarXiv:2002.11800v12020
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu, Yujiao Song, Ling Zhao +1
cs.LGstat.MLarXiv:2006.11583v12020
Reactive Humanoid Multi-Contact Using Learned Stability Models
Stephen McCrory, Beomyeong Park, Nicholas Kitchel +2
cs.ROarXiv:2610.00823v12026
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks
Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2
cs.CRarXiv:2303.15986v22023
Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha +1
cs.CVarXiv:1911.03621v12019
Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo, Sidi Lu, Han Cai +3
cs.CLcs.AIcs.LGarXiv:1709.08624v22017
DUET: Dual-Teacher On-Policy Distillation via Same-Weight Disagreement for Prohibition Compliance
Zihan Li, Feifei Li, Wenhui Que
cs.LGcs.CLarXiv:2608.14644v12026
A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond
Mahmoud Aldababsa, Mesut Toka, Selahattin Gokceli +2
eess.SParXiv:1902.08992v12019
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
Rateb Jabbar, Khalifa Al-Khalifa, Mohamed Kharbeche +3
cs.CVcs.HCarXiv:1811.01627v12018
Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule
Cian Higgins, Gerard Carrigan, Pinar Sungu Isiacik +1
cs.LGarXiv:2608.18021v12026
Autonomous Vehicle: Security by Design
Anupam Chattopadhyay, Kwok-Yan Lam
cs.CRarXiv:1810.00545v12018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
cs.LGcs.CRstat.MLarXiv:1807.01647v22018
CEFR-Based Sentence Difficulty Annotation and Assessment
Yuki Arase, Satoru Uchida, Tomoyuki Kajiwara
cs.CLarXiv:2210.11766v12022
MADMM: a generic algorithm for non-smooth optimization on manifolds
Artiom Kovnatsky, Klaus Glashoff, Michael M. Bronstein
math.OCmath.NAarXiv:1505.07676v12015
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou +5
cs.ROcs.CVcs.LGarXiv:1809.10732v22018
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Gregory Farquhar, Bei Peng +1
cs.LGcs.MAstat.MLarXiv:2006.10800v22020
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Yu Zhang, Dit-Yan Yeung
cs.LGcs.AIstat.MLarXiv:1203.3536v12012
The effect of fading, channel inversion, and threshold scheduling on ad hoc networks
Steven Weber, Jeffrey G. Andrews, Nihar Jindal
cs.ITarXiv:0707.3584v12007
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger +6
cs.LGarXiv:2111.01495v22021
EXOFAST: A fast exoplanetary fitting suite in IDL
Jason Eastman, B. Scott Gaudi, Eric Agol
astro-ph.IMastro-ph.EParXiv:1206.5798v32012
Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout
Zhuoran Zhao, Shengju Qian, Tongtong Liang +7
cs.CVarXiv:2609.09123v12026
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen, Avihu Dekel, Daphna Weinshall
cs.LGarXiv:2202.02794v42022
AVClass2: Massive Malware Tag Extraction from AV Labels
Silvia Sebastián, Juan Caballero
cs.CRarXiv:2006.10615v22020
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin +1
cs.LGstat.MLarXiv:1710.09412v22017
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2
cs.CVcs.AIcs.LGarXiv:2004.05155v12020
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum +2
cs.ROarXiv:2109.11082v12021
Unpaired Multi-modal Segmentation via Knowledge Distillation
Qi Dou, Quande Liu, Pheng Ann Heng +1
cs.CVeess.IVarXiv:2001.03111v12020
GRC-Net: Global Representation Consistency Network for Unsupervised Multimodal Anomaly Detection
Seyoung Jeong, Jong Pil Yun, Sang Jun Lee
cs.CVarXiv:2610.09329v12026
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality
Zhongang Qi, Tianchun Wang, Guojie Song +4
cs.LGarXiv:1711.00939v22017
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li, Chenxin Xiong, Ali Thabet +1
cs.LGcs.CVstat.MLarXiv:2006.07739v12020
Differentially Private Distributed Convex Optimization via Functional Perturbation
Erfan Nozari, Pavankumar Tallapragada, Jorge Cortés
math.OCmath.DSarXiv:1512.00369v32015
Robust data encodings for quantum classifiers
Ryan LaRose, Brian Coyle
quant-phcs.LGarXiv:2003.01695v12020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Pratik Chaudhari, Stefano Soatto
cs.LGcond-mat.stat-mechmath.OCarXiv:1710.11029v22017
Network World Models as Environments for Algorithm Design on Complex Systems
Rishab Alagharu, Hongji Pu, Zeeshan Memon +3
cs.AIarXiv:2610.01048v12026
Slightly Superexponential Parameterized Problems
Daniel Lokshtanov, Daniel Marx, Saket Saurabh
cs.CCcs.DSarXiv:1902.08723v12019
Personalized News Recommendation with Context Trees
Florent Garcin, Christos Dimitrakakis, Boi Faltings
cs.IRcs.LGstat.MLarXiv:1303.0665v22013
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
Xiang Pan, Minghua Chen, Tianyu Zhao +1
eess.SYcs.LGarXiv:2007.01002v62020
Complex network analysis of water distribution systems
A. Yazdani, P. Jeffrey
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1104.0121v12011
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu, Jian Tang, Jingsong Meng +4
cs.NIcs.AIcs.LGarXiv:1801.05757v12018
Pretraining Language Models with Human Preferences
Tomasz Korbak, Kejian Shi, Angelica Chen +5
cs.CLcs.LGarXiv:2302.08582v22023
When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic
Bingyun Liu, Yuheng Jing
cs.LGcs.AIarXiv:2609.05508v12026
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression
Denny Wu, Ji Xu
stat.MLcs.LGmath.STarXiv:2006.05800v42020
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan, Sijia Liu, Pin-Yu Chen +2
cs.CVcs.AIcs.LGarXiv:2111.01124v12021
Single-Shot Object Detection with Enriched Semantics
Zhishuai Zhang, Siyuan Qiao, Cihang Xie +3
cs.CVarXiv:1712.00433v22017
Coherent quantum LQG control
H. I. Nurdin, M. R. James, I. R. Petersen
quant-pharXiv:0711.2551v22007
Perturbo: a software package for ab initio electron-phonon interactions, charge transport and ultrafast dynamics
Jin-Jian Zhou, Jinsoo Park, I-Te Lu +3
cond-mat.mtrl-sciphysics.comp-pharXiv:2002.02045v12020
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems
Jianyue Zhu, Jiaheng Wang, Yongming Huang +3
cs.ITarXiv:1707.06350v12017
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti, Mahak Pancholi, Arpita Patra +1
cs.CRcs.LGarXiv:2005.10296v32020
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Liming Jiang, Ren Li, Wayne Wu +2
cs.CVcs.LGarXiv:2001.03024v22020
Pix2seq: A Language Modeling Framework for Object Detection
Ting Chen, Saurabh Saxena, Lala Li +2
cs.CVcs.AIcs.CLarXiv:2109.10852v22021
Polynomial-time classical and quantum simulation of quantum impurity models
Jiaqing Jiang, Nathan Ju, Ojas Parekh +2
quant-phcond-mat.str-elcs.CCarXiv:2610.02167v12026
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Samuel Henrique Silva, Peyman Najafirad
cs.LGcs.AIstat.MLarXiv:2007.00753v22020
Large Causal Models for Temporal Causal Discovery
Nikolaos Kougioulis, Nikolaos Gkorgkolis, MingXue Wang +4
cs.LGarXiv:2602.18662v32026
Tightening Mutual Information Based Bounds on Generalization Error
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
cs.LGstat.MLarXiv:1901.04609v22019
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp +1
cs.LGarXiv:1707.01476v62017
Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy, Brandon Anderson, Jan T. Offermann +3
hep-phcs.LGhep-exarXiv:2006.04780v12020

Every paper with a summary

Lookahead Optimizer: k steps forward, 1 step back

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks

Named Entity Recognition and Classification on Historical Documents: A Survey

MacroBase: Prioritizing Attention in Fast Data

Universal Phone Recognition with a Multilingual Allophone System

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

Reactive Humanoid Multi-Contact Using Learned Stability Models

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Learning Deep Bilinear Transformation for Fine-grained Image Representation

Long Text Generation via Adversarial Training with Leaked Information

DUET: Dual-Teacher On-Policy Distillation via Same-Weight Disagreement for Prohibition Compliance

A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond

Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques

Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule

Autonomous Vehicle: Security by Design

Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences

CEFR-Based Sentence Difficulty Annotation and Assessment

MADMM: a generic algorithm for non-smooth optimization on manifolds

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

A Convex Formulation for Learning Task Relationships in Multi-Task Learning

The effect of fading, channel inversion, and threshold scheduling on ad hoc networks

Constructing Neural Network-Based Models for Simulating Dynamical Systems

EXOFAST: A fast exoplanetary fitting suite in IDL

Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

AVClass2: Massive Malware Tag Extraction from AV Labels

mixup: Beyond Empirical Risk Minimization

Learning to Explore using Active Neural SLAM

Discovering State and Action Abstractions for Generalized Task and Motion Planning

Unpaired Multi-modal Segmentation via Knowledge Distillation

GRC-Net: Global Representation Consistency Network for Unsupervised Multimodal Anomaly Detection

Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality

DeeperGCN: All You Need to Train Deeper GCNs

Differentially Private Distributed Convex Optimization via Functional Perturbation

Robust data encodings for quantum classifiers

Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks

Network World Models as Environments for Algorithm Design on Complex Systems

Slightly Superexponential Parameterized Problems

Personalized News Recommendation with Context Trees

DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems

Complex network analysis of water distribution systems

Experience-driven Networking: A Deep Reinforcement Learning based Approach

Pretraining Language Models with Human Preferences

When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic

On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression

When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?

Single-Shot Object Detection with Enriched Semantics

Coherent quantum LQG control

Perturbo: a software package for ab initio electron-phonon interactions, charge transport and ultrafast dynamics

On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Pix2seq: A Language Modeling Framework for Object Detection

Polynomial-time classical and quantum simulation of quantum impurity models

Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey

Large Causal Models for Temporal Causal Discovery

Tightening Mutual Information Based Bounds on Generalization Error

Convolutional 2D Knowledge Graph Embeddings

Lorentz Group Equivariant Neural Network for Particle Physics