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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58,021 to 58,080 of 61,190

RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal +7
cs.CLarXiv:1907.11692v12019
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian, Chunhua Shen, Hao Chen +1
cs.CVarXiv:1904.01355v52019
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang +7
cs.LGcs.CVcs.ROarXiv:1903.11027v52019
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski +5
cs.LGcs.CLstat.MLarXiv:1902.00751v22019
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang +2
cs.CVarXiv:1708.04896v22017
On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun +1
cs.LGarXiv:1706.04599v22017
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza +5
cs.LGarXiv:1602.01783v22016
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox +1
cs.LGcs.CVcs.NEarXiv:1412.6806v32014
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Haojie Zhang, Di Wu, Bingyan Liu +5
cs.CVarXiv:2604.23789v32026
Summaries:한국어
Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
Sanket Badhe, Deep Shah
cs.CLcs.IRarXiv:2602.21103v22026
Diffusion-Pretrained Dense and Contextual Embeddings
Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel +3
cs.LGcs.CLcs.IRarXiv:2602.11151v22026
Summaries:한국어
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up
Chen Chen, Jianing Yin, Jiannong Cao +5
cs.HCcs.CLcs.ROarXiv:2507.15502v12025
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao, Peiyi Wang, Qihao Zhu +8
cs.CLcs.AIcs.LGarXiv:2402.03300v32024
Qwen Technical Report
Jinze Bai, Shuai Bai, Yunfei Chu +45
cs.CLarXiv:2309.16609v12023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Anthony Brohan, Noah Brown, Justice Carbajal +51
cs.ROcs.CLcs.CVarXiv:2307.15818v12023
DETRs Beat YOLOs on Real-time Object Detection
Yian Zhao, Wenyu Lv, Shangliang Xu +5
cs.CVarXiv:2304.08069v32023
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren +9
cs.CVarXiv:2303.05499v52023
Large Language Models Encode Clinical Knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu +27
cs.CLarXiv:2212.13138v12022
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu +3
eess.AScs.CLcs.LGarXiv:2212.04356v12022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong +1
cs.LGcs.AIarXiv:2211.14730v22022
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid +2
cs.CLcs.AIcs.LGarXiv:2205.11916v42022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Yuntao Bai, Andy Jones, Kamal Ndousse +28
cs.CLcs.LGarXiv:2204.05862v12022
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton, Owain Evans
cs.CLcs.AIcs.CYarXiv:2109.07958v22021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao, Yueyue Wang, Joy Chen +4
eess.IVcs.CVarXiv:2105.05537v12021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar, Li Jing, Ishan Misra +2
cs.CVcs.AIcs.LGarXiv:2103.03230v32021
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy +9
cs.CVcs.LGarXiv:2103.00020v12021
Summaries:한국어
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
David M. W. Powers
cs.LGstat.MEstat.MLarXiv:2010.16061v12020
Supervised Contrastive Learning
Prannay Khosla, Piotr Teterwak, Chen Wang +6
cs.LGcs.CVstat.MLarXiv:2004.11362v52020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta +4
cs.CLcs.LGarXiv:2004.10964v32020
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min +5
cs.CLarXiv:2004.04906v32020
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi +1
cs.LGcs.CVstat.MLarXiv:2002.05709v32020
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu +2
cs.CVarXiv:1911.05722v32019
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
cs.LGstat.MLarXiv:1907.05600v32019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee +1
cs.CLarXiv:1810.04805v22018
Summaries:한국어 简体中文 Français
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
Qingqing Wu, Rui Zhang
cs.ITmath.OCarXiv:1810.03961v42018
Deep learning in agriculture: A survey
Andreas Kamilaris, Francesc X. Prenafeta-Boldu
cs.LGcs.CVstat.MLarXiv:1807.11809v12018
CBAM: Convolutional Block Attention Module
Sanghyun Woo, Jongchan Park, Joon-Young Lee +1
cs.CVarXiv:1807.06521v22018
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma, Prafulla Dhariwal
stat.MLcs.AIcs.LGarXiv:1807.03039v22018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Fisher Yu, Haofeng Chen, Xin Wang +5
cs.CVarXiv:1805.04687v22018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1803.01271v22018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1801.01290v22018
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp +1
cs.LGarXiv:1707.01476v62017
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu +3
cs.CVarXiv:1704.08063v42017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray +3
cs.ROcs.LGarXiv:1703.06907v12017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1703.03400v32017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal +2
cs.LGmath.OCarXiv:1609.04836v22016
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto, Jack Valmadre, João F. Henriques +2
cs.CVarXiv:1606.09549v32016
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li +1
cs.CVarXiv:1604.02878v12016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen, Carlos Guestrin
cs.LGarXiv:1603.02754v32016
Summaries:한국어
Prioritized Experience Replay
Tom Schaul, John Quan, Ioannis Antonoglou +1
cs.LGarXiv:1511.05952v42015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan +1
cs.LGcond-mat.dis-nnq-bio.NCarXiv:1503.03585v82015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Nguyen, Jason Yosinski, Jeff Clune
cs.CVcs.AIcs.NEarXiv:1412.1897v42014
Julia: A Fresh Approach to Numerical Computing
Jeff Bezanson, Alan Edelman, Stefan Karpinski +1
cs.MSarXiv:1411.1607v42014
FastJet user manual
Matteo Cacciari, Gavin P. Salam, Gregory Soyez
hep-phhep-exarXiv:1111.6097v12011
MadGraph 5 : Going Beyond
Johan Alwall, Michel Herquet, Fabio Maltoni +2
hep-pharXiv:1106.0522v12011
A Tutorial on Spectral Clustering
Ulrike von Luxburg
cs.DScs.LGarXiv:0711.0189v12007
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
Sajjad Khan
cs.LGcs.AIcs.DCarXiv:2605.17076v22026
DeepTCM1.0: A Multi-Expert AI Agent for Deciphering Mechanisms of Chinese Herbal Formulae Based on General Large Language Models
Wenxin Duan, Hanwei Wang, Zhongying Peng +4
cs.CLcs.AIarXiv:2608.18103v12026
Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning
Jiawei Wang, Ke Rui, Yushen Zuo +2
cs.LGcs.CVarXiv:2608.18746v12026
H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models
Dingyi Rong, Yue Shi, Chaofan Ma +6
cs.ROcs.CVarXiv:2608.13049v12026

Every paper with a summary

RoBERTa: A Robustly Optimized BERT Pretraining Approach

FCOS: Fully Convolutional One-Stage Object Detection

nuScenes: A multimodal dataset for autonomous driving

Parameter-Efficient Transfer Learning for NLP

Random Erasing Data Augmentation

On Calibration of Modern Neural Networks

Asynchronous Methods for Deep Reinforcement Learning

Striving for Simplicity: The All Convolutional Net

MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning

Diffusion-Pretrained Dense and Contextual Embeddings

FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Qwen Technical Report

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

DETRs Beat YOLOs on Real-time Object Detection

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Large Language Models Encode Clinical Knowledge

Robust Speech Recognition via Large-Scale Weak Supervision

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Large Language Models are Zero-Shot Reasoners

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Learning Transferable Visual Models From Natural Language Supervision

Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Supervised Contrastive Learning

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Dense Passage Retrieval for Open-Domain Question Answering

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Generative Modeling by Estimating Gradients of the Data Distribution

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming

Deep learning in agriculture: A survey

CBAM: Convolutional Block Attention Module

Glow: Generative Flow with Invertible 1x1 Convolutions

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Convolutional 2D Knowledge Graph Embeddings

SphereFace: Deep Hypersphere Embedding for Face Recognition

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Fully-Convolutional Siamese Networks for Object Tracking

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

XGBoost: A Scalable Tree Boosting System

Prioritized Experience Replay

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Julia: A Fresh Approach to Numerical Computing

FastJet user manual

MadGraph 5 : Going Beyond

A Tutorial on Spectral Clustering

S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination

DeepTCM1.0: A Multi-Expert AI Agent for Deciphering Mechanisms of Chinese Herbal Formulae Based on General Large Language Models

Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning

H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models