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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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58,201 to 58,260 of 61,240

Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
Nathan Halko, Per-Gunnar Martinsson, Joel A. Tropp
math.NAmath.PRarXiv:0909.4061v22009
ViViT: A Video Vision Transformer
Anurag Arnab, Mostafa Dehghani, Georg Heigold +3
cs.CVarXiv:2103.15691v22021
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu, Naiyan Wang, Tianqi Chen +1
cs.LGcs.CVstat.MLarXiv:1505.00853v22015
CVXPY: A Python-Embedded Modeling Language for Convex Optimization
Steven Diamond, Stephen Boyd
math.OCarXiv:1603.00943v22016
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Jonathan Shen, Ruoming Pang, Ron J. Weiss +10
cs.CLarXiv:1712.05884v22017
Deep Leakage from Gradients
Ligeng Zhu, Zhijian Liu, Song Han
cs.LGcs.CRstat.MLarXiv:1906.08935v22019
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Tri Dao
cs.LGarXiv:2307.08691v12023
Extracting Training Data from Large Language Models
Nicholas Carlini, Florian Tramer, Eric Wallace +9
cs.CRcs.CLcs.LGarXiv:2012.07805v22020
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts +5
cs.CLarXiv:2010.11934v32020
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
Mehdi Noroozi, Paolo Favaro
cs.CVarXiv:1603.09246v32016
Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp +11
cs.LGcs.DCstat.MLarXiv:1902.01046v22019
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu, Kenton Lee, Zora Tung +2
cs.CLcs.LGarXiv:2002.08909v12020
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang +2
cs.SIcs.AIarXiv:1708.01967v32017
Datasheets for Datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione +4
cs.DBcs.AIcs.LGarXiv:1803.09010v82018
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk, Rowan Zellers, Ronan Le Bras +2
cs.CLcs.AIcs.LGarXiv:1911.11641v12019
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud +3
cs.CVarXiv:1904.08889v22019
Automated Hate Speech Detection and the Problem of Offensive Language
Thomas Davidson, Dana Warmsley, Michael Macy +1
cs.CLarXiv:1703.04009v12017
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David
cs.LGcs.CVcs.NEarXiv:1511.00363v32015
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen, Jiannan Wu, Wenhai Wang +12
cs.CVarXiv:2312.14238v32023
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai, Richard Socher, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:1503.00075v32015
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros
cs.CVcs.AIcs.CLarXiv:2211.09800v22022
FaceForensics++: Learning to Detect Manipulated Facial Images
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva +3
cs.CVarXiv:1901.08971v32019
Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck
Nathael Altman
eess.SPcs.LGarXiv:2608.14633v12026
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis +3
cs.CVcs.AIcs.LGarXiv:1811.12231v32018
Federated Machine Learning: Concept and Applications
Qiang Yang, Yang Liu, Tianjian Chen +1
cs.AIcs.CRcs.LGarXiv:1902.04885v12019
Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, Tsung-Yi Lin +2
cs.CVarXiv:1901.05555v12019
Language Models as Knowledge Bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis +4
cs.CLarXiv:1909.01066v22019
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park +5
cs.CVarXiv:1711.03213v32017
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang, Mert R. Sabuncu
cs.LGcs.CVstat.MLarXiv:1805.07836v42018
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu, Jun Chen, Xiaoqian Shen +2
cs.CVarXiv:2304.10592v22023
SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-Distillation
Chenyang Jiang, Changhan Huang
cs.LGcs.AIarXiv:2608.14647v12026
Heterogeneous Graph Attention Network
Xiao Wang, Houye Ji, Chuan Shi +4
cs.SIarXiv:1903.07293v22019
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot, Patrick McDaniel, Xi Wu +2
cs.CRcs.LGcs.NEarXiv:1511.04508v22015
Shortcut Learning in Deep Neural Networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis +4
cs.CVcs.AIcs.LGarXiv:2004.07780v52020
Can parametric statistical methods be trusted for fMRI based group studies?
Anders Eklund, Thomas Nichols, Hans Knutsson
stat.APmath.STstat.COarXiv:1511.01863v12015
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
cs.LGcs.AIstat.MLarXiv:1706.05098v12017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Robyn Speer, Joshua Chin, Catherine Havasi
cs.CLarXiv:1612.03975v22016
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare, Yavar Naddaf, Joel Veness +1
cs.AIarXiv:1207.4708v22012
CARA: Cognitive Adaptive Recommendation Agent
Weijun Gao, Jinyang Dong, Chuanru Ren +1
cs.IRcs.AIarXiv:2608.16919v12026
Deep learning for time series classification: a review
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1809.04356v42018
YOLOv11: An Overview of the Key Architectural Enhancements
Rahima Khanam, Muhammad Hussain
cs.CVarXiv:2410.17725v12024
Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt +3
cs.AIcs.LGarXiv:1606.06565v22016
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster, Yong Zhao, Ioan Raicu +1
cs.DCarXiv:0901.0131v12008
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Carlos E. Jimenez, John Yang, Alexander Wettig +4
cs.CLcs.AIcs.SEarXiv:2310.06770v32023
Multilayer Networks
Mikko Kivelä, Alexandre Arenas, Marc Barthelemy +3
physics.soc-phcs.SIarXiv:1309.7233v42013
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar, Robin Jia, Percy Liang
cs.CLarXiv:1806.03822v12018
Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang +1
cs.NEcs.AIcs.CVarXiv:1802.01548v72018
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski +5
cs.CLarXiv:1904.01038v12019
Learning to summarize from human feedback
Nisan Stiennon, Long Ouyang, Jeff Wu +6
cs.CLcs.AIcs.LGarXiv:2009.01325v32020
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu, Shirui Pan, Guodong Long +2
cs.LGstat.MLarXiv:1906.00121v12019
MicroPython and CircuitPython: Pythons Quiet Takeover of IoT and Robotics
Sayed Mahbub Hasan Amiri, Atiar Zahan
cs.PLcs.CLcs.SEarXiv:2608.18160v12026
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan +3
cs.NEcs.CVarXiv:1605.05396v22016
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie +3
cs.CVarXiv:1904.08189v32019
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu +9
cs.CVcs.LGstat.MLarXiv:1711.05225v32017
Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer +2
cs.CVarXiv:1812.03828v22018
The Open-Strategy Dictator Game: Cooperation Under Mutual Transparency
Michael Glass
cs.GTcs.AIcs.MAarXiv:2608.14913v12026
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang +22
cs.CVcs.LGeess.IVarXiv:1906.07155v12019
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie, Ross Girshick, Ali Farhadi
cs.LGcs.CVarXiv:1511.06335v22015
Object Detection in 20 Years: A Survey
Zhengxia Zou, Keyan Chen, Zhenwei Shi +2
cs.CVarXiv:1905.05055v32019
Pointer Networks
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
stat.MLcs.CGcs.LGarXiv:1506.03134v22015

Every paper with a summary

Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions

ViViT: A Video Vision Transformer

Empirical Evaluation of Rectified Activations in Convolutional Network

CVXPY: A Python-Embedded Modeling Language for Convex Optimization

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

Deep Leakage from Gradients

FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Extracting Training Data from Large Language Models

mT5: A massively multilingual pre-trained text-to-text transformer

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

Towards Federated Learning at Scale: System Design

REALM: Retrieval-Augmented Language Model Pre-Training

Fake News Detection on Social Media: A Data Mining Perspective

Datasheets for Datasets

PIQA: Reasoning about Physical Commonsense in Natural Language

KPConv: Flexible and Deformable Convolution for Point Clouds

Automated Hate Speech Detection and the Problem of Offensive Language

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

InstructPix2Pix: Learning to Follow Image Editing Instructions

FaceForensics++: Learning to Detect Manipulated Facial Images

Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Federated Machine Learning: Concept and Applications

Class-Balanced Loss Based on Effective Number of Samples

Language Models as Knowledge Bases?

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-Distillation

Heterogeneous Graph Attention Network

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Shortcut Learning in Deep Neural Networks

Can parametric statistical methods be trusted for fMRI based group studies?

An Overview of Multi-Task Learning in Deep Neural Networks

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

The Arcade Learning Environment: An Evaluation Platform for General Agents

CARA: Cognitive Adaptive Recommendation Agent

Deep learning for time series classification: a review

YOLOv11: An Overview of the Key Architectural Enhancements

Concrete Problems in AI Safety

Cloud Computing and Grid Computing 360-Degree Compared

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Multilayer Networks

Know What You Don't Know: Unanswerable Questions for SQuAD

Regularized Evolution for Image Classifier Architecture Search

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Learning to summarize from human feedback

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

MicroPython and CircuitPython: Pythons Quiet Takeover of IoT and Robotics

Generative Adversarial Text to Image Synthesis

CenterNet: Keypoint Triplets for Object Detection

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Occupancy Networks: Learning 3D Reconstruction in Function Space

The Open-Strategy Dictator Game: Cooperation Under Mutual Transparency

MMDetection: Open MMLab Detection Toolbox and Benchmark

Unsupervised Deep Embedding for Clustering Analysis

Object Detection in 20 Years: A Survey

Pointer Networks