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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56,701 to 56,760 of 61,393

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li, Xiaofan Zhang, Deming Chen
cs.CVarXiv:1802.10062v42018
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
cs.LGstat.MLarXiv:1906.00910v22019
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet +1
cs.CLarXiv:2005.00661v12020
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg, Vijay Kumar BG, Gustavo Carneiro +1
cs.CVarXiv:1603.04992v22016
From time series to complex networks: the visibility graph
Lucas Lacasa, Bartolo Luque, Fernando Ballesteros +2
physics.data-anarXiv:0810.0920v12008
Coordinate Descent Algorithms
Stephen J. Wright
math.OCarXiv:1502.04759v12015
Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
Zixin Jessie Chen, Zhuo Chen, Archer Wang +4
cs.CVcond-mat.stat-mechcs.AIarXiv:2605.26032v12026
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao +6
cs.CVcs.GRcs.LGarXiv:2307.04725v22023
Rethinking VLM Representation for VLA Initialization
Weifeng Lin, Siyuan Huang, Hao Li +5
cs.CVarXiv:2605.25802v12026
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan, Cheng Gong, Yang Cao +3
cs.CVarXiv:1805.10421v22018
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy, Lance Kaplan, Melih Kandemir
cs.LGstat.MLarXiv:1806.01768v32018
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jégou, Michal Drozdzal, David Vazquez +2
cs.CVarXiv:1611.09326v32016
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher
cs.CLarXiv:1705.04304v32017
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai +77
cs.CLcs.AIarXiv:2112.11446v22021
SemBridge: Language Transfer in Sparse Encoders via Multilingual Semantic Bridges
Seongtae Hong, Youngjoon Jang, Jia-Heui Ju +2
cs.IRarXiv:2605.26002v12026
MetaphorVU: Towards Metaphorical Video Understanding
Zhuoqun Li, Boxi Cao, Guiping Jiang +13
cs.CVarXiv:2605.25461v12026
Helix4D: Complex 4D Mesh Generation
Jiraphon Yenphraphai, Jianqi Chen, Jian Wang +6
cs.CVarXiv:2605.26109v12026
What Can We Learn Privately?
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim +2
cs.LGcs.CCcs.CRarXiv:0803.0924v32008
Masked Autoregressive Flow for Density Estimation
George Papamakarios, Theo Pavlakou, Iain Murray
stat.MLcs.LGarXiv:1705.07057v42017
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Charles R. Qi, Hao Su, Matthias Niessner +3
cs.CVcs.AIarXiv:1604.03265v22016
Re-ranking Person Re-identification with k-reciprocal Encoding
Zhun Zhong, Liang Zheng, Donglin Cao +1
cs.CVarXiv:1701.08398v42017
ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement
Yufeng Yang, Jianzhuang Liu, Jisheng Chu +4
cs.CVarXiv:2605.25569v22026
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini +4
cs.IRcs.AIcs.CLarXiv:2112.09118v42021
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Minghong Fang, Xiaoyu Cao, Jinyuan Jia +1
cs.CRcs.DCcs.LGarXiv:1911.11815v42019
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1811.03962v52018
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
Federico Torrielli, Peter Schneider-Kamp, Lukas Galke Poech
cs.CLcs.AIarXiv:2605.26045v22026
Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World
Yusong Lin, Xinyuan Liang, Haiyang Wang +8
cs.AIarXiv:2605.26086v12026
Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction
Jin Hyeon Kim, Jaeeun Lee, Claire Kim +8
cs.CVarXiv:2605.26230v12026
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8
cs.CVcs.ROarXiv:1911.02620v12019
How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?
Benjamin Herb, Steve Göring, Alexander Raake +1
eess.IVcs.CVarXiv:2605.25940v12026
Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μSR$ Experiments
O. Arnold, J. C. Bilheux, J. M. Borreguero +25
physics.data-ancond-mat.otherarXiv:1407.5860v12014
RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models
Xing Cong, Hanlin Tang, Kan Liu +3
cs.LGarXiv:2605.26632v32026
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou +2
cs.LGcs.CVstat.MLarXiv:1810.05270v22018
How Can We Know What Language Models Know?
Zhengbao Jiang, Frank F. Xu, Jun Araki +1
cs.CLcs.LGarXiv:1911.12543v22019
Octo: An Open-Source Generalist Robot Policy
Octo Model Team, Dibya Ghosh, Homer Walke +16
cs.ROcs.LGarXiv:2405.12213v22024
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
Joshua S Speagle
astro-ph.IMstat.COarXiv:1904.02180v12019
MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale
Zhicong Tang, Zhao Zhang, Jingye Chen +6
cs.CVarXiv:2605.27235v12026
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan +3
cs.CLcs.AIcs.CVarXiv:2303.17580v42023
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
cs.CVcs.LGarXiv:1906.05849v52019
Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows
Harshada Badave, Santosh Borse, Andrea Gomez +6
cs.AIarXiv:2605.24219v22026
PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
Runtian Wang, Renhao Xue, Baige Chen +1
cs.LGphysics.opticsarXiv:2605.26502v22026
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin, Jiaming Tang, Haotian Tang +7
cs.CLarXiv:2306.00978v62023
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff, Joan Bruna, Yann LeCun
cs.LGcs.CVcs.NEarXiv:1506.05163v12015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Cascaded Pyramid Network for Multi-Person Pose Estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng +3
cs.CVarXiv:1711.07319v22017
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
cs.LGcs.AIcs.GTarXiv:1801.04406v42018
Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models
Yifan Jiang, Dae Yon Hwang, Jesse C. Cresswell +1
cs.CLcs.CVarXiv:2605.27311v12026
GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning
Haodong Zhao, Tianyi Xu, Tianhang Zhao +2
cs.CRarXiv:2605.26574v12026
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong, Wenbing Huang, Tingyang Xu +1
cs.LGcs.NIstat.MLarXiv:1907.10903v42019
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +4
physics.opticscs.NEphysics.app-pharXiv:2011.00111v22020
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David Minnen, Johannes Ballé, George Toderici
cs.CVarXiv:1809.02736v12018
COMET: A Neural Framework for MT Evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha +1
cs.CLarXiv:2009.09025v22020
Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems
Aman Priyanshu, Supriti Vijay, Esha Pahwa
cs.AIarXiv:2605.27766v12026
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
Yi Jing, Zao Dai, Jinwu Hu +4
cs.LGcs.AIcs.CLarXiv:2605.27354v12026
Cross-scale Aligned Supervision for Training GANs
Sangeek Hyun, MinKyu Lee, Jae-Pil Heo
cs.CVcs.AIarXiv:2605.26449v12026
Less is More: Early Stopping Rollout for On-Policy Distillation
Zhou Ziheng, Jiaqi Li, Huacong Tang +2
cs.LGcs.AIarXiv:2605.27028v12026
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
stat.MLcs.LGstat.COarXiv:1506.02557v22015
Triplet-Block Diffusion RWKV
Ke Lin, Yiyang Luo, Zhaolong Su +2
cs.CLarXiv:2605.25969v12026
Not only where, But when: Temporal Scheduling for RLVR
Jinghao Zhang, Ruilin Li, Feng Zhao +1
cs.LGarXiv:2605.25381v12026
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu +2
cs.CLcs.AIcs.LGarXiv:1704.04683v52017

Every paper with a summary

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Learning Representations by Maximizing Mutual Information Across Views

On Faithfulness and Factuality in Abstractive Summarization

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

From time series to complex networks: the visibility graph

Coordinate Descent Algorithms

Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Rethinking VLM Representation for VLA Initialization

Enhanced-alignment Measure for Binary Foreground Map Evaluation

Evidential Deep Learning to Quantify Classification Uncertainty

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

A Deep Reinforced Model for Abstractive Summarization

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

SemBridge: Language Transfer in Sparse Encoders via Multilingual Semantic Bridges

MetaphorVU: Towards Metaphorical Video Understanding

Helix4D: Complex 4D Mesh Generation

What Can We Learn Privately?

Masked Autoregressive Flow for Density Estimation

Volumetric and Multi-View CNNs for Object Classification on 3D Data

Re-ranking Person Re-identification with k-reciprocal Encoding

ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement

Unsupervised Dense Information Retrieval with Contrastive Learning

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

A Convergence Theory for Deep Learning via Over-Parameterization

Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals

Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction

Argoverse: 3D Tracking and Forecasting with Rich Maps

How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?

Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μSR$ Experiments

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models

Rethinking the Value of Network Pruning

How Can We Know What Language Models Know?

Octo: An Open-Source Generalist Robot Policy

dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences

MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Contrastive Multiview Coding

Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows

PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Deep Convolutional Networks on Graph-Structured Data

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Cascaded Pyramid Network for Multi-Person Pose Estimation

Which Training Methods for GANs do actually Converge?

Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models

GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Photonics for artificial intelligence and neuromorphic computing

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

COMET: A Neural Framework for MT Evaluation

Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Cross-scale Aligned Supervision for Training GANs

Less is More: Early Stopping Rollout for On-Policy Distillation

Variational Dropout and the Local Reparameterization Trick

Triplet-Block Diffusion RWKV

Not only where, But when: Temporal Scheduling for RLVR

RACE: Large-scale ReAding Comprehension Dataset From Examinations