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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101,581 to 101,640 of 101,885

An Analysis of Deep Neural Network Models for Practical Applications
Alfredo Canziani, Adam Paszke, Eugenio Culurciello
cs.CVarXiv:1605.07678v42016
Deep Learning for Hate Speech Detection in Tweets
Pinkesh Badjatiya, Shashank Gupta, Manish Gupta +1
cs.CLcs.IRarXiv:1706.00188v12017
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt +7
cs.LGcs.MAstat.MLarXiv:1902.04043v52019
Using simulation studies to evaluate statistical methods
Tim P Morris, Ian R White, Michael J Crowther
stat.MEarXiv:1712.03198v32017
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi +4
cs.LGcs.CRcs.CVarXiv:1804.00792v22018
VizWiz Grand Challenge: Answering Visual Questions from Blind People
Danna Gurari, Qing Li, Abigale J. Stangl +5
cs.CVcs.CLcs.HCarXiv:1802.08218v42018
LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi +1
cs.LGstat.MLarXiv:1709.05206v12017
Adversarial Patch
Tom B. Brown, Dandelion Mané, Aurko Roy +2
cs.CVarXiv:1712.09665v22017
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
Kawin Ethayarajh
cs.CLarXiv:1909.00512v12019
End-to-End Incremental Learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil +2
cs.CVarXiv:1807.09536v22018
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas +5
cs.CVarXiv:2012.07177v22020
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07067v12019
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, J. Zico Kolter
cs.LGstat.MLarXiv:2001.03994v12020
Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences
Heng Li
q-bio.GNarXiv:1512.01801v22015
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang +1
cs.CLcs.AIarXiv:2211.12588v42022
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick +2
cs.CVcs.AIarXiv:1904.01766v22019
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik, Monica Agrawal, Jure Leskovec
cs.LGq-bio.MNstat.MLarXiv:1802.00543v22018
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang +5
cs.CVarXiv:1708.00961v22017
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan +3
cs.CVcs.LGarXiv:1904.05160v22019
Statistical physics of human cooperation
Matjaz Perc, Jillian J. Jordan, David G. Rand +3
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1705.07161v12017
Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds
Prateek Biswas, Dhaval Patel, Vedant Khandelwal +2
cs.IRcs.LGcs.PLarXiv:2605.18827v12026
An open access repository of images on plant health to enable the development of mobile disease diagnostics
David. P. Hughes, Marcel Salathe
cs.CYarXiv:1511.08060v22015
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu, Martin Simonovsky
cs.CVcs.LGcs.NEarXiv:1711.09869v22017
Training Large Language Models to Predict Clinical Events
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
cs.LGcs.AIcs.CLarXiv:2605.12817v12026
Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition
Kush Juvekar, Kavya Manohar, Aditya Srinivas Menon +2
cs.CLcs.AIarXiv:2605.13087v22026
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon, Juan Pablo Bello
cs.SDcs.CVcs.LGarXiv:1608.04363v22016
LLM-based Detection of Manipulative Political Narratives
Sinclair Schneider, Florian Steuber, Gabi Dreo Rodosek
cs.CLarXiv:2605.14354v22026
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar +3
cs.CVcs.LGarXiv:1301.3666v22013
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen, Bing Xu, Chiyuan Zhang +1
cs.LGarXiv:1604.06174v22016
Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity
Prashant C. Raju
q-bio.NCcond-mat.dis-nnphysics.bio-pharXiv:2605.17199v12026
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han +4
cs.LGcs.AIcs.CLarXiv:2211.01910v22022
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu, Di Huang, Yunhong Wang
cs.CVarXiv:1711.07767v32017
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik +1
cs.LGarXiv:1611.02167v32016
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10
cs.CVarXiv:2605.20682v12026
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries
Mahdi Azhdari, Eric J. Gonzales
cs.CLarXiv:2605.21712v12026
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
Scientific reasoning does not reliably translate into scientific forecasting in frontier AI
Sean Wu, Pan Lu, Yupeng Chen +7
cs.AIarXiv:2605.22681v22026
Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang +4
cs.LGcs.AIeess.SParXiv:2202.07125v52022
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4
cs.CVarXiv:2605.25191v12026
Benchmarking Composed Image Retrieval for Applied Earth Observation
Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6
cs.CVarXiv:2605.24442v12026
OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks
Geoff Boeing
cs.SIphysics.soc-pharXiv:1611.01890v52016
A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
Logan Ward, Ankit Agrawal, Alok Choudhary +1
cond-mat.mtrl-sciarXiv:1606.09551v22016
Rethinking VLM Representation for VLA Initialization
Weifeng Lin, Siyuan Huang, Hao Li +5
cs.CVarXiv:2605.25802v12026
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jégou, Michal Drozdzal, David Vazquez +2
cs.CVarXiv:1611.09326v32016
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
Funing Fu, Tenghui Wang, Guanyu Zhou +2
cs.CVcs.LGarXiv:2605.27102v22026
Networks beyond pairwise interactions: structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini +5
physics.soc-phcond-mat.dis-nncs.SIarXiv:2006.01764v12020
MUSAN: A Music, Speech, and Noise Corpus
David Snyder, Guoguo Chen, Daniel Povey
cs.SDarXiv:1510.08484v12015
How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning
Qian Yang, Ankur Sikarwar, Huy Le +4
cs.CVarXiv:2605.27310v12026
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8
cs.LGcs.AIcs.CVarXiv:1806.10293v32018
Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings
Stanislav Kirdey, Clark Labs Inc
cs.AIarXiv:2605.28034v12026
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
Haoran Sun, Wenjie Li, Yujie Zhang +8
cs.AIcs.CLarXiv:2606.09365v32026
A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases
Arezoo Aghaei Chadegani, Hadi Salehi, Melor Md Yunus +4
cs.DLcs.CYarXiv:1305.0377v12013
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
cs.ITarXiv:1708.08514v12017
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Xingkui Zhu, Shuchang Lyu, Xu Wang +1
cs.CVcs.AIarXiv:2108.11539v12021
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang +1
cs.CVcs.LGarXiv:1904.07392v12019
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick +3
cs.CVcs.GRcs.ROarXiv:2303.11328v12023

Every paper with a summary

An Analysis of Deep Neural Network Models for Practical Applications

Deep Learning for Hate Speech Detection in Tweets

The StarCraft Multi-Agent Challenge

Using simulation studies to evaluate statistical methods

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

VizWiz Grand Challenge: Answering Visual Questions from Blind People

LSTM Fully Convolutional Networks for Time Series Classification

Adversarial Patch

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

End-to-End Incremental Learning

Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Taskonomy: Disentangling Task Transfer Learning

Fast is better than free: Revisiting adversarial training

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

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

VideoBERT: A Joint Model for Video and Language Representation Learning

Modeling polypharmacy side effects with graph convolutional networks

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

Large-Scale Long-Tailed Recognition in an Open World

Statistical physics of human cooperation

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds

An open access repository of images on plant health to enable the development of mobile disease diagnostics

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Training Large Language Models to Predict Clinical Events

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

LLM-based Detection of Manipulative Political Narratives

Zero-Shot Learning Through Cross-Modal Transfer

Training Deep Nets with Sublinear Memory Cost

Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity

Large Language Models Are Human-Level Prompt Engineers

Receptive Field Block Net for Accurate and Fast Object Detection

Designing Neural Network Architectures using Reinforcement Learning

Minimalist Visual Inertial Odometry

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

Generating Videos with Scene Dynamics

Scientific reasoning does not reliably translate into scientific forecasting in frontier AI

Transformers in Time Series: A Survey

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference

Benchmarking Composed Image Retrieval for Applied Earth Observation

OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks

A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials

Rethinking VLM Representation for VLA Initialization

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

Networks beyond pairwise interactions: structure and dynamics

MUSAN: A Music, Speech, and Noise Corpus

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory

A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Zero-1-to-3: Zero-shot One Image to 3D Object