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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58,561 to 58,620 of 61,220

Coupled-cluster molecular properties across the main group that extrapolate beyond training size
Wenhao He, Xu Chen, Noah Song +10
physics.chem-phcond-mat.mtrl-scics.AIarXiv:2608.18346v12026
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey +5
cs.CVcs.AIarXiv:2307.01952v12023
Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske +10
cs.CLarXiv:2202.03629v72022
Enhancing Sparsity by Reweighted L1 Minimization
Emmanuel J. Candes, Michael B. Wakin, Stephen P. Boyd
stat.MEmath.STarXiv:0711.1612v12007
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
cs.CVcs.LGcs.NEarXiv:1412.7062v42014
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark, Isaac Cowhey, Oren Etzioni +4
cs.AIcs.CLcs.IRarXiv:1803.05457v12018
Visual-Prompt Guided Wildlife Instance-Level Recognition
Mufhumudzi Muthivhi, Jiahao Huo, Terence van Zyl +1
cs.CVcs.AIcs.LGarXiv:2608.18246v12026
ImageJ2: ImageJ for the next generation of scientific image data
Curtis T. Rueden, Johannes Schindelin, Mark C. Hiner +4
cs.SEq-bio.QMarXiv:1701.05940v42017
YOLOv10: Real-Time End-to-End Object Detection
Ao Wang, Hui Chen, Lihao Liu +4
cs.CVarXiv:2405.14458v22024
Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings
Mingfang Zhang, Jarod Lévy, Cedric Rommel +9
cs.CLcs.AIcs.LGarXiv:2608.18114v12026
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Chenxu Niu
cs.ARcs.AIcs.DCarXiv:2608.18149v12026
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu +13
cs.CVcs.AIcs.LGarXiv:2210.08402v12022
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang, Kunpeng Li, Kai Li +3
cs.CVarXiv:1807.02758v22018
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li +1
cs.CVcs.AIcs.CLarXiv:2310.03744v22023
Matching Methods for Causal Inference: A Review and a Look Forward
Elizabeth A. Stuart
stat.MEarXiv:1010.5586v12010
Discovering governing equations from data: Sparse identification of nonlinear dynamical systems
Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz
math.DSarXiv:1509.03580v12015
Finetuned Language Models Are Zero-Shot Learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao +6
cs.CLarXiv:2109.01652v52021
Bidirectional representational alignment between biological and artificial neural networks
Samuel Kostousov, Abhinn Kaushik, Brokoslaw Laschowski
cs.LGcs.AIarXiv:2608.18244v12026
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Bing Yu, Haoteng Yin, Zhanxing Zhu
cs.LGstat.MLarXiv:1709.04875v42017
Adversarial Discriminative Domain Adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko +1
cs.CVarXiv:1702.05464v12017
GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
Ziyang Cheng, Tianshu Tang, Jinxin Lan +17
cs.ROcs.AIcs.LGarXiv:2608.18234v12026
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro
cs.LGarXiv:1610.02413v12016
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
Souraj Adhikary, Negar Chabi, Andre Mastmeyer
cs.CVcs.AIcs.LGarXiv:2608.18193v12026
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman, Andrew Gelman
stat.COcs.LGarXiv:1111.4246v12011
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez, Been Kim
stat.MLcs.AIcs.LGarXiv:1702.08608v22017
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
cs.LGcs.CVarXiv:1511.04599v32015
Language Models for Portuguese: A Systematic Mapping Study
Jhessica Silva, Carlos Caetano, Helena Maia +3
cs.CLcs.AIarXiv:2608.18138v12026
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang +1
cs.LGcs.AIarXiv:2106.13008v52021
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell, Kaiyu Yang, Jia Deng
cs.CVarXiv:1603.06937v22016
QLoRA: Efficient Finetuning of Quantized LLMs
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman +1
cs.LGarXiv:2305.14314v12023
What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
Emanuele Ratti, Lena Zuchowski
cs.LGcs.AIcs.CYarXiv:2608.18186v12026
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation
M P V S Gopinadh
cs.CLcs.AIcs.CRarXiv:2608.18164v12026
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan, Yuanjun Xiong, Dahua Lin
cs.CVarXiv:1801.07455v22018
When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
Praphulla Lal Shrestha
cs.CLcs.AIarXiv:2608.18158v12026
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang, Serge Belongie
cs.CVarXiv:1703.06868v22017
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam +1
cs.LGcs.CVcs.NEarXiv:1312.6203v32013
The Deontic Gap: Large Language Models and the Modal Language of Obligation
Daniel Hart, Sarah Allred, Joseph Abbas +1
cs.CLcs.AIarXiv:2608.18144v12026
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
cs.AIarXiv:1706.07269v32017
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konečný, H. Brendan McMahan, Felix X. Yu +3
cs.LGarXiv:1610.05492v22016
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey, Jan Eric Lenssen
cs.LGstat.MLarXiv:1903.02428v32019
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He, Kuan Deng, Xiang Wang +3
cs.IRcs.LGarXiv:2002.02126v42020
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola +1
cs.CVarXiv:1703.10593v72017
Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation
Spencer Gibson, Tyler Crosse, Magnus Saebo +3
cs.CLcs.AIcs.HCarXiv:2608.18108v12026
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
cs.LGcs.AIarXiv:1606.01540v12016
MissForest - nonparametric missing value imputation for mixed-type data
Daniel J. Stekhoven, Peter Bühlmann
stat.APstat.MLarXiv:1105.0828v22011
Different Facets of Verbalised Overconfidence: an Interpretability Study
Davide Mazzaccara, Leonardo Bertolazzi, Raffaella Bernardi
cs.CLcs.AIarXiv:2608.18106v12026
Flow Matching for Generative Modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu +2
cs.LGcs.AIstat.MLarXiv:2210.02747v22022
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan +5
cs.LGstat.MLarXiv:1911.02685v32019
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
stat.MLarXiv:1306.0895v12013
Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
Alizer Wong, Heng Cui, Yi Tan +6
cs.AImath.NTarXiv:2608.19047v12026
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia +7
cs.CVcs.CLcs.LGarXiv:2102.05918v22021
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
cs.CVcs.LGcs.NEarXiv:1512.07108v62015
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi, Jose Caballero, Ferenc Huszár +5
cs.CVstat.MLarXiv:1609.05158v22016
Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
Valentin Romanov, Monique Bax, Steven Niederer
cs.AIcs.DBarXiv:2608.19025v12026
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li, Percy Liang
cs.CLarXiv:2101.00190v12021
A Theory of Post-hoc Debate Judgement
Xiang Yin, Adam Dejl, Antonio Rago +2
cs.AIarXiv:2608.19002v12026
StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
Akshat Parmar, Vikranth Udandarao, Abhay Shakya +4
cs.CLcs.AIcs.LGarXiv:2608.18105v12026
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, Hervé Jégou
cs.CVcs.DBcs.DSarXiv:1702.08734v12017
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
cs.LGcs.AIstat.MLarXiv:2102.09672v12021

Every paper with a summary

Coupled-cluster molecular properties across the main group that extrapolate beyond training size

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Survey of Hallucination in Natural Language Generation

Enhancing Sparsity by Reweighted L1 Minimization

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Visual-Prompt Guided Wildlife Instance-Level Recognition

ImageJ2: ImageJ for the next generation of scientific image data

YOLOv10: Real-Time End-to-End Object Detection

Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings

TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving

LAION-5B: An open large-scale dataset for training next generation image-text models

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Improved Baselines with Visual Instruction Tuning

Matching Methods for Causal Inference: A Review and a Look Forward

Discovering governing equations from data: Sparse identification of nonlinear dynamical systems

Finetuned Language Models Are Zero-Shot Learners

Bidirectional representational alignment between biological and artificial neural networks

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Adversarial Discriminative Domain Adaptation

GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction

Equality of Opportunity in Supervised Learning

Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift

The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

Towards A Rigorous Science of Interpretable Machine Learning

DeepFool: a simple and accurate method to fool deep neural networks

Language Models for Portuguese: A Systematic Mapping Study

Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Stacked Hourglass Networks for Human Pose Estimation

QLoRA: Efficient Finetuning of Quantized LLMs

What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems

In-Datacenter Performance Analysis of a Tensor Processing Unit

Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Spectral Networks and Locally Connected Networks on Graphs

The Deontic Gap: Large Language Models and the Modal Language of Obligation

Explanation in Artificial Intelligence: Insights from the Social Sciences

Federated Learning: Strategies for Improving Communication Efficiency

Fast Graph Representation Learning with PyTorch Geometric

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation

OpenAI Gym

MissForest - nonparametric missing value imputation for mixed-type data

Different Facets of Verbalised Overconfidence: an Interpretability Study

Flow Matching for Generative Modeling

A Comprehensive Survey on Transfer Learning

Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Recent Advances in Convolutional Neural Networks

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models

Prefix-Tuning: Optimizing Continuous Prompts for Generation

A Theory of Post-hoc Debate Judgement

StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data

Billion-scale similarity search with GPUs

Improved Denoising Diffusion Probabilistic Models