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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61,441 to 61,500 of 104,353

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li +16
cs.AIcs.CLcs.LGarXiv:2302.09419v32023
TallyQA: Answering Complex Counting Questions
Manoj Acharya, Kushal Kafle, Christopher Kanan
cs.CVarXiv:1810.12440v22018
The Degrees of Freedom Regions of MIMO Broadcast, Interference, and Cognitive Radio Channels with No CSIT
Chinmay S. Vaze, Mahesh K. Varanasi
cs.ITarXiv:0909.5424v32009
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman, Erik Rodner, Jeff Donahue +2
cs.LGarXiv:1301.3224v52013
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads
Jialin Ding, Vikram Nathan, Mohammad Alizadeh +1
cs.DBcs.LGarXiv:2006.13282v12020
Chemi-net: a graph convolutional network for accurate drug property prediction
Ke Liu, Xiangyan Sun, Lei Jia +7
cs.LGq-bio.QMarXiv:1803.06236v22018
Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations
Soumyadeep Roy
cs.SDcs.LGarXiv:2609.10051v12026
Attention-aware Multi-stroke Style Transfer
Yuan Yao, Jianqiang Ren, Xuansong Xie +3
cs.CVarXiv:1901.05127v12019
Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network
Ehsan Hosseini-Asl, Robert Keynto, Ayman El-Baz
cs.LGq-bio.NCstat.MLarXiv:1607.00455v12016
Measuring Stability and Failure Behavior in Language Models Under Structured Perturbations
Samira Golsefid
cs.AIcs.CLarXiv:2608.22138v12026
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Bingbin Liu, Ehsan Adeli, Zhangjie Cao +4
cs.CVarXiv:2002.08945v12020
Circuit Transformations for Quantum Architectures
Andrew M. Childs, Eddie Schoute, Cem M. Unsal
quant-phcs.DSarXiv:1902.09102v22019
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus, Eric Moulines
math.STstat.MEstat.MLarXiv:1605.01559v42016
Quantum computing with neutral atoms
Loic Henriet, Lucas Beguin, Adrien Signoles +4
quant-pharXiv:2006.12326v22020
NetSquid, a NETwork Simulator for QUantum Information using Discrete events
Tim Coopmans, Robert Knegjens, Axel Dahlberg +13
quant-pharXiv:2010.12535v32020
Agentic RSR: Real-to-Sim-to-Real through Scene Reconstruction and Execution-Grounded Robot Policies
Yihan Li, Yating Feng, Shengjiu Sun +7
cs.ROcs.CVarXiv:2610.10479v12026
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Yue Zhao, Maciej K. Hryniewicki
cs.LGcs.DBcs.IRarXiv:1912.00290v12019
Two-Pass End-to-End Speech Recognition
Tara N. Sainath, Ruoming Pang, David Rybach +9
cs.CLcs.SDeess.ASarXiv:1908.10992v12019
Learning Disentangled Representations for Recommendation
Jianxin Ma, Chang Zhou, Peng Cui +2
cs.LGcs.IRstat.MLarXiv:1910.14238v12019
Invariant domains and first-order continuous finite element approximation for hyperbolic systems
Jean-Luc Guermond, Bojan Popov
math.NAcs.NAarXiv:1509.07461v12015
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero, Roberta Raileanu, Heinrich Küttler +3
cs.LGcs.AIstat.MLarXiv:2006.12122v22020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Michal Rolínek, Paul Swoboda, Dominik Zietlow +3
cs.LGstat.MLarXiv:2003.11657v22020
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

Every paper with a summary

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

TallyQA: Answering Complex Counting Questions

The Degrees of Freedom Regions of MIMO Broadcast, Interference, and Cognitive Radio Channels with No CSIT

Efficient Learning of Domain-invariant Image Representations

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads

Chemi-net: a graph convolutional network for accurate drug property prediction

Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations

Attention-aware Multi-stroke Style Transfer

Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network

Measuring Stability and Failure Behavior in Language Models Under Structured Perturbations

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

Circuit Transformations for Quantum Architectures

High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm

Quantum computing with neutral atoms

NetSquid, a NETwork Simulator for QUantum Information using Discrete events

Agentic RSR: Real-to-Sim-to-Real through Scene Reconstruction and Execution-Grounded Robot Policies

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning

Two-Pass End-to-End Speech Recognition

Learning Disentangled Representations for Recommendation

Invariant domains and first-order continuous finite element approximation for hyperbolic systems

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

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