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.

Search paper metadata (including unsummarized papers)

56,221 to 56,280 of 61,393

Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek, Alexander Binder, Grégoire Montavon +2
cs.CVarXiv:1509.06321v12015
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee, Xi Chen, Gang Hua +2
cs.CVcs.AIcs.LGarXiv:1803.08024v22018
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chi Chen, Weike Ye, Yunxing Zuo +2
cond-mat.mtrl-sciphysics.comp-pharXiv:1812.05055v22018
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou +1
cs.CLcs.AIcs.LGarXiv:1907.11932v62019
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Emmanuel Candes, Xiaodong Li, Mahdi Soltanolkotabi
cs.ITmath.FAmath.NAarXiv:1407.1065v32014
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque +3
cs.LGeess.SPstat.MLarXiv:1901.05498v22019
Graph Transformer Networks
Seongjun Yun, Minbyul Jeong, Raehyun Kim +2
cs.LGcs.SIstat.MLarXiv:1911.06455v22019
Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences
Heng Li
q-bio.GNarXiv:1512.01801v22015
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas, Logan Engstrom, Anish Athalye +1
cs.CVcs.CRstat.MLarXiv:1804.08598v32018
End-to-End Multi-Task Learning with Attention
Shikun Liu, Edward Johns, Andrew J. Davison
cs.CVarXiv:1803.10704v22018
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Harsh Tataria, Mansoor Shafi, Andreas F. Molisch +3
eess.SPcs.ITarXiv:2008.03213v22020
One weird trick for parallelizing convolutional neural networks
Alex Krizhevsky
cs.NEcs.DCcs.LGarXiv:1404.5997v22014
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell +1
cs.CVarXiv:1510.02192v12015
Convolutional Radio Modulation Recognition Networks
Timothy J O'Shea, Johnathan Corgan, T. Charles Clancy
cs.LGcs.CVarXiv:1602.04105v32016
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev, Mike Del Balso
cs.LGstat.MLarXiv:1802.05799v32018
N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders
Yair Meidan, Michael Bohadana, Yael Mathov +4
cs.CRcs.LGarXiv:1805.03409v12018
Federated Learning with Matched Averaging
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun +2
cs.LGstat.MLarXiv:2002.06440v12020
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee +4
cs.CVarXiv:1609.08675v12016
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan +1
cs.CVarXiv:1801.10112v32018
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega, Matteo Boschini, Angelo Porrello +2
stat.MLcs.LGarXiv:2004.07211v22020
A Literature Survey of Benchmark Functions For Global Optimization Problems
Momin Jamil, Xin-She Yang
cs.AImath.OCarXiv:1308.4008v12013
Deep Learning in Bioinformatics
Seonwoo Min, Byunghan Lee, Sungroh Yoon
cs.LGq-bio.GNarXiv:1603.06430v52016
Experiment-driven Characterization of Full-Duplex Wireless Systems
Melissa Duarte, Chris Dick, Ashutosh Sabharwal
cs.ITarXiv:1107.1276v22011
MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading
Baibei Ji, Xiaoyang Weng, Juntao Li +3
cs.CLcs.AIarXiv:2605.10268v12026
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
Yao Du, Shanshan Song, Xiaomeng Li
cs.CLcs.CVcs.LGarXiv:2605.01402v22026
PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning
Sajib Acharjee Dip, Song Li, Liqing Zhang
cs.CLarXiv:2605.10032v22026
Generative AI at Work
Erik Brynjolfsson, Danielle Li, Lindsey Raymond
econ.GNq-fin.GNarXiv:2304.11771v22023
Integrated Photonic Quantum Technologies
Jianwei Wang, Fabio Sciarrino, Anthony Laing +1
quant-pharXiv:2005.01948v12020
DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
Haoyu Huang, Jiaxin Bai, Shujie Liu +6
cs.CLcs.AIarXiv:2605.10488v12026
DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
Chenyang Song, Weilin Zhao, Xu Han +3
cs.LGcs.CLarXiv:2605.10933v32026
Unsupervised Process Reward Models
Artyom Gadetsky, Maxim Kodryan, Siba Smarak Panigrahi +2
cs.LGarXiv:2605.10158v12026
A Survey on Homomorphic Encryption Schemes: Theory and Implementation
Abbas Acar, Hidayet Aksu, A. Selcuk Uluagac +1
cs.CRarXiv:1704.03578v22017
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He, Tat-Seng Chua
cs.LGarXiv:1708.05027v12017
Dynamic Convolution: Attention over Convolution Kernels
Yinpeng Chen, Xiyang Dai, Mengchen Liu +3
cs.CVarXiv:1912.03458v22019
Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception
Yiwei Ou, Chung Ching Cheung, Jun Yang Ang +5
cs.CVcs.IRcs.LGarXiv:2605.09936v12026
SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation
Niyati Rawal, Sushant Ravva, Shah Alam Abir +5
cs.CVarXiv:2605.10376v22026
Semantic Scene Completion from a Single Depth Image
Shuran Song, Fisher Yu, Andy Zeng +3
cs.CVarXiv:1611.08974v12016
Exploring CLIP for Assessing the Look and Feel of Images
Jianyi Wang, Kelvin C. K. Chan, Chen Change Loy
cs.CVarXiv:2207.12396v22022
Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching
Kejia Ren, Gaotian Wang, Andrew S. Morgan +1
cs.ROarXiv:2605.09789v12026
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang +1
cs.CLcs.AIarXiv:2211.12588v42022
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu, Weixin Luo, Dongze Lian +1
cs.CVarXiv:1712.09867v32017
The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection
Andrii Yermakov, Jan Cech, Mario Fritz +1
cs.CVarXiv:2605.10334v12026
Invariant Scattering Convolution Networks
Joan Bruna, Stéphane Mallat
cs.CVarXiv:1203.1513v22012
CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models
Wenxuan Song, Han Zhao, Fuhao Li +7
cs.CVcs.ROarXiv:2605.10903v12026
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter +3
cs.CLarXiv:1606.01541v42016
Resolution-robust Large Mask Inpainting with Fourier Convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin +7
cs.CVeess.IVarXiv:2109.07161v22021
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick +2
cs.CVcs.AIarXiv:1904.01766v22019
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth +4
cs.LGcs.AIcs.CLarXiv:2205.05638v22022
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar, Razvan Pascanu, Kyunghyun Cho +1
stat.MLcs.LGcs.NEarXiv:1402.1869v22014
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan, Michael J. Black
cs.CVarXiv:1611.00850v22016
Gibbs-Ringing Artifact Removal Based on Local Subvoxel-shifts
Elias Kellner, Bibek Dhital, Marco Reisert
physics.med-phcs.CVarXiv:1501.07758v12015
Semi-Supervised Learning with Ladder Networks
Antti Rasmus, Harri Valpola, Mikko Honkala +2
cs.NEcs.LGstat.MLarXiv:1507.02672v22015
Mela: Test-Time Memory Consolidation based on Transformation Hypothesis
Lungchuan Chen
cs.CLarXiv:2605.10537v12026
Theano: new features and speed improvements
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu +6
cs.SCcs.LGarXiv:1211.5590v12012
Deep Learning for Anomaly Detection: A Review
Guansong Pang, Chunhua Shen, Longbing Cao +1
cs.LGcs.CVstat.MLarXiv:2007.02500v32020
Machine Learning Force Fields
Oliver T. Unke, Stefan Chmiela, Huziel E. Sauceda +5
physics.chem-phstat.MLarXiv:2010.07067v22020
SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding
Anton Plaksin, Sergei Krutikov, Sergei Skvortsov +1
cs.LGcs.CLarXiv:2605.10453v12026
Challenges of Big Data Analysis
Jianqing Fan, Fang Han, Han Liu
stat.MLarXiv:1308.1479v22013
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang +3
cs.CVarXiv:1604.01753v32016
AFLOW: An automatic framework for high-throughput materials discovery
Stefano Curtarolo, Wahyu Setyawan, Gus L. W. Hart +11
cond-mat.mtrl-sciarXiv:1308.5715v12013

Every paper with a summary

Evaluating the visualization of what a Deep Neural Network has learned

Stacked Cross Attention for Image-Text Matching

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Phase Retrieval via Wirtinger Flow: Theory and Algorithms

Deep learning-based electroencephalography analysis: a systematic review

Graph Transformer Networks

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Black-box Adversarial Attacks with Limited Queries and Information

End-to-End Multi-Task Learning with Attention

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities

One weird trick for parallelizing convolutional neural networks

Simultaneous Deep Transfer Across Domains and Tasks

Convolutional Radio Modulation Recognition Networks

Horovod: fast and easy distributed deep learning in TensorFlow

N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

Federated Learning with Matched Averaging

YouTube-8M: A Large-Scale Video Classification Benchmark

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

Dark Experience for General Continual Learning: a Strong, Simple Baseline

A Literature Survey of Benchmark Functions For Global Optimization Problems

Deep Learning in Bioinformatics

Experiment-driven Characterization of Full-Duplex Wireless Systems

MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression

PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning

Generative AI at Work

Integrated Photonic Quantum Technologies

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices

Unsupervised Process Reward Models

A Survey on Homomorphic Encryption Schemes: Theory and Implementation

Neural Factorization Machines for Sparse Predictive Analytics

Dynamic Convolution: Attention over Convolution Kernels

Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception

SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation

Semantic Scene Completion from a Single Depth Image

Exploring CLIP for Assessing the Look and Feel of Images

Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Future Frame Prediction for Anomaly Detection -- A New Baseline

The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection

Invariant Scattering Convolution Networks

CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models

Deep Reinforcement Learning for Dialogue Generation

Resolution-robust Large Mask Inpainting with Fourier Convolutions

VideoBERT: A Joint Model for Video and Language Representation Learning

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

On the Number of Linear Regions of Deep Neural Networks

Optical Flow Estimation using a Spatial Pyramid Network

Gibbs-Ringing Artifact Removal Based on Local Subvoxel-shifts

Semi-Supervised Learning with Ladder Networks

Mela: Test-Time Memory Consolidation based on Transformation Hypothesis

Theano: new features and speed improvements

Deep Learning for Anomaly Detection: A Review

Machine Learning Force Fields

SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding

Challenges of Big Data Analysis

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

AFLOW: An automatic framework for high-throughput materials discovery