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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56,881 to 56,940 of 61,189

Machine learning and the physical sciences
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer +5
physics.comp-phastro-ph.COcond-mat.dis-nnarXiv:1903.10563v22019
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami +5
stat.MLcs.LGmath.AParXiv:1908.10407v22019
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Lasse Espeholt, Hubert Soyer, Remi Munos +9
cs.LGcs.AIarXiv:1802.01561v32018
Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models
Jiazheng Xing, Hangjie Yuan, Lingling Cai +9
cs.CVcs.AIarXiv:2605.31603v22026
DenseFuse: A Fusion Approach to Infrared and Visible Images
Hui Li, Xiao-Jun Wu
cs.CVarXiv:1804.08361v92018
The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement
Xiaobo Wang, Tong Wu, Min Tang +3
cs.CLarXiv:2605.30888v12026
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Yaowei Zheng, Richong Zhang, Junhao Zhang +4
cs.CLcs.AIarXiv:2403.13372v42024
Deep learning in remote sensing: a review
Xiao Xiang Zhu, Devis Tuia, Lichao Mou +4
cs.CVeess.IVarXiv:1710.03959v12017
Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion
Stine Lyngsø Beltoft, William Brach, Federico Torrielli +5
cs.CLcs.AIarXiv:2605.31170v12026
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang +3
cs.CVarXiv:2101.08158v22021
LOFAR: The LOw-Frequency ARray
M. P. van Haarlem, M. W. Wise, A. W. Gunst +197
astro-ph.IMarXiv:1305.3550v22013
Mellum2 Technical Report
Marko Kojic, Ivan Bondyrev, Aral de Moor +6
cs.CLarXiv:2605.31268v12026
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai, Nuno Vasconcelos
cs.CVarXiv:1906.09756v12019
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare, Will Dabney, Rémi Munos
cs.LGcs.AIstat.MLarXiv:1707.06887v12017
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow
cs.CRcs.LGarXiv:1605.07277v12016
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
Yulu Pan, Han Yi, Seongsu Ha +4
cs.CVarXiv:2605.31529v22026
User-friendly tail bounds for sums of random matrices
Joel A. Tropp
math.PRarXiv:1004.4389v72010
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
Weinan E, Bing Yu
cs.LGstat.MLarXiv:1710.00211v12017
Image Transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit +4
cs.CVarXiv:1802.05751v32018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
Kyle Hundman, Valentino Constantinou, Christopher Laporte +2
cs.LGstat.MLarXiv:1802.04431v32018
Session-based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu +3
cs.IRcs.LGstat.MLarXiv:1811.00855v42018
Recent Advances in Physical Reservoir Computing: A Review
Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux +6
cs.ETarXiv:1808.04962v32018
Deep Learning for Sentiment Analysis : A Survey
Lei Zhang, Shuai Wang, Bing Liu
cs.CLcs.IRcs.LGarXiv:1801.07883v22018
How can embedding models bind concepts?
Arnas Uselis, Darina Koishigarina, Seong Joon Oh
cs.CVcs.LGarXiv:2605.31503v12026
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang, Xin Li, Lidong Bing
cs.CLcs.CVcs.SDarXiv:2306.02858v42023
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu, Zhongang Qi, Li Fuxin
cs.CVarXiv:1811.07246v32018
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney +6
cs.CVcs.AIcs.CLarXiv:1711.07280v32017
Learning from Simulated and Unsupervised Images through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel +3
cs.CVcs.LGcs.NEarXiv:1612.07828v22016
Detecting the overlapping and hierarchical community structure of complex networks
Andrea Lancichinetti, Santo Fortunato, Janos Kertesz
physics.soc-phcond-mat.stat-mechphysics.comp-pharXiv:0802.1218v22008
Language Models (Mostly) Know What They Know
Saurav Kadavath, Tom Conerly, Amanda Askell +33
cs.CLcs.AIcs.LGarXiv:2207.05221v42022
Linear Scaling Video VLMs for Long Video Understanding
Cristobal Eyzaguirre, Jiajun Wu, Juan Carlos Niebles
cs.CVarXiv:2605.31598v12026
Count Anything
Mengqi Lei, Shuokun Cheng, Wei Bao +4
cs.CVarXiv:2605.30846v12026
DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory
Zhenhao Yang, Xiaoshi Wu, Zhengyao Lv +5
cs.CVarXiv:2605.31336v12026
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Christopher B. Choy, Danfei Xu, JunYoung Gwak +2
cs.CVcs.AIarXiv:1604.00449v12016
Task-Focused Memorization for Multimodal Agents
Tao Zou, Yichen He, Tian Qiu +2
cs.CVarXiv:2605.31075v12026
Highway Networks
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
cs.LGcs.NEarXiv:1505.00387v22015
Function2Scene: 3D Indoor Scene Layout from Functional Specifications
Ruiqi Wang, Qimin Chen, Daniel Ritchie +4
cs.CVcs.GRarXiv:2605.30819v12026
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi +3
cs.CVcs.GRcs.LGarXiv:2008.02268v32020
Understanding Convolution for Semantic Segmentation
Panqu Wang, Pengfei Chen, Ye Yuan +4
cs.CVarXiv:1702.08502v32017
StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
Junwon Seo, Sushant Veer, Ran Tian +6
cs.CVcs.AIcs.LGarXiv:2606.00267v12026
Accurate and efficient algorithm for Bader charge integration
Min Yu, Dallas R. Trinkle
cond-mat.mtrl-sciphysics.chem-pharXiv:1010.4916v12010
Consistent Individualized Feature Attribution for Tree Ensembles
Scott M. Lundberg, Gabriel G. Erion, Su-In Lee
cs.LGstat.MLarXiv:1802.03888v32018
Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism
Yijiong Yu, Huazheng Wang, Shuai Yuan +2
cs.CLarXiv:2605.30852v32026
MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection
Haowen Wang, Yaxin Du, Jian Yang +9
cs.AIarXiv:2605.30288v22026
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé +2
cs.IRcs.AIcs.CLarXiv:2104.08663v42021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund +20
cs.LGarXiv:2012.07421v32020
Learning Spatially Regularized Correlation Filters for Visual Tracking
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan +1
cs.CVarXiv:1608.05571v12016
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase +1
cs.LGcs.DCstat.MLarXiv:1910.02054v32019
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen, Shiu-hong Kao, Hao He +4
cs.CVarXiv:2303.03667v32023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu +4
cs.CVarXiv:2301.00808v12023
Understanding Neural Networks Through Deep Visualization
Jason Yosinski, Jeff Clune, Anh Nguyen +2
cs.CVcs.LGcs.NEarXiv:1506.06579v12015
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao, Jiarui Xu, Stephen Lin +2
cs.CVcs.AIcs.LGarXiv:1904.11492v12019
The COVID-19 Social Media Infodemic
Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi +6
cs.SInlin.AOphysics.soc-pharXiv:2003.05004v12020
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng +7
cs.CLcs.AIcs.IRarXiv:2404.16130v22024
OpenNMT: Open-source Toolkit for Neural Machine Translation
Guillaume Klein, Yoon Kim, Yuntian Deng +3
cs.CLarXiv:1709.03815v12017
BLEURT: Learning Robust Metrics for Text Generation
Thibault Sellam, Dipanjan Das, Ankur P. Parikh
cs.CLarXiv:2004.04696v52020
Constrained Policy Optimization
Joshua Achiam, David Held, Aviv Tamar +1
cs.LGarXiv:1705.10528v12017
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Gautier Izacard, Edouard Grave
cs.CLcs.LGarXiv:2007.01282v22020
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew Hausknecht, Peter Stone
cs.LGarXiv:1507.06527v42015
Calibrate Before Use: Improving Few-Shot Performance of Language Models
Tony Z. Zhao, Eric Wallace, Shi Feng +2
cs.CLcs.LGarXiv:2102.09690v22021

Every paper with a summary

Machine learning and the physical sciences

An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models

DenseFuse: A Fusion Approach to Infrared and Visible Images

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Deep learning in remote sensing: a review

Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion

Focal and Efficient IOU Loss for Accurate Bounding Box Regression

LOFAR: The LOw-Frequency ARray

Mellum2 Technical Report

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

A Distributional Perspective on Reinforcement Learning

Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence

User-friendly tail bounds for sums of random matrices

The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems

Image Transformer

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Session-based Recommendation with Graph Neural Networks

Recent Advances in Physical Reservoir Computing: A Review

Deep Learning for Sentiment Analysis : A Survey

How can embedding models bind concepts?

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

PointConv: Deep Convolutional Networks on 3D Point Clouds

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Learning from Simulated and Unsupervised Images through Adversarial Training

Detecting the overlapping and hierarchical community structure of complex networks

Language Models (Mostly) Know What They Know

Linear Scaling Video VLMs for Long Video Understanding

Count Anything

DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Task-Focused Memorization for Multimodal Agents

Highway Networks

Function2Scene: 3D Indoor Scene Layout from Functional Specifications

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Understanding Convolution for Semantic Segmentation

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement

Accurate and efficient algorithm for Bader charge integration

Consistent Individualized Feature Attribution for Tree Ensembles

Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism

MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Learning Spatially Regularized Correlation Filters for Visual Tracking

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Understanding Neural Networks Through Deep Visualization

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

The COVID-19 Social Media Infodemic

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

OpenNMT: Open-source Toolkit for Neural Machine Translation

BLEURT: Learning Robust Metrics for Text Generation

Constrained Policy Optimization

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Deep Recurrent Q-Learning for Partially Observable MDPs

Calibrate Before Use: Improving Few-Shot Performance of Language Models