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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18,361 to 18,420 of 61,134

Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package
Marco Scutari
stat.COcs.AIcs.MSarXiv:1406.7648v22014
Improving the Diffusability of Autoencoders
Ivan Skorokhodov, Sharath Girish, Benran Hu +5
cs.CVcs.AIcs.LGarXiv:2502.14831v32025
Prediction-Robust Service Deployment with Capacity-Aware Edge Admission
Hailiang Zhao, Ziqi Wang, Yifei Zhang +4
cs.DCarXiv:2609.00877v12026
MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
Chaithanya Bandi, Razvan-Gabriel Dumitru, Ben Hertzberg +20
cs.SEcs.AIarXiv:2602.00933v32026
Preventing Posterior Collapse with delta-VAEs
Ali Razavi, Aäron van den Oord, Ben Poole +1
cs.LGstat.MLarXiv:1901.03416v12019
Efficient discovery of unique column combinations on disk-resident data with limited memory
Xiaolong Wan, Xixian Han
cs.DBarXiv:2609.00783v12026
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies
Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok +13
cs.SEarXiv:2401.15481v12024
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Giorgio Stampa, Marta Arias, David Sanchez-Charles +2
cs.NIcs.AIarXiv:1709.07080v12017
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron Havens, Benjamin Kurt Miller, Bing Yan +10
cs.LGcs.AIarXiv:2504.11713v32025
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou, S. Kevin Zhou
eess.IVcs.CVarXiv:2001.03799v22020
Evolutionary Stochastic Search for Bayesian model exploration
Leonardo Bottolo, Sylvia Richardson
stat.COstat.MEarXiv:1002.2706v12010
"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild
Yi Liu, Zhihao Chen, Yanjun Zhang +4
cs.CRcs.AIcs.CLarXiv:2602.06547v42026
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
Xingtong Yu, Zechuan Gong, Chang Zhou +2
cs.CLcs.AIarXiv:2502.05424v22025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
cs.DCcs.AIcs.LGarXiv:2505.01821v52025
Imitation Learning as $f$-Divergence Minimization
Liyiming Ke, Sanjiban Choudhury, Matt Barnes +3
cs.LGcs.ITcs.ROarXiv:1905.12888v22019
Koopman-Based Robust Model Predictive Control for Nonlinear Systems with Stochastic Intermittent Measurements
Guanhua Liu, Tong Wu, Lixian Zhang +2
cs.ROeess.SYarXiv:2609.02079v12026
Looking Beyond the Scale: Do Surgical Skill Models Learn Transferable Representations Across Assessment Rubrics?
Hanna Hoffmann, Felix von Bechtolsheim, Stefanie Speidel +1
cs.CVcs.LGarXiv:2608.17519v12026
Body size predicts how long ant workers live - but not how they age or how they die from heat
Alana Moscardi, Rafael da Silva, Gleycon Silva
q-bio.PEcs.LGarXiv:2608.14245v12026
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
Dan Stowell, Yannis Stylianou, Mike Wood +2
cs.SDeess.ASarXiv:1807.05812v12018
A Review of Keyphrase Extraction
Eirini Papagiannopoulou, Grigorios Tsoumakas
cs.CLcs.IRarXiv:1905.05044v22019
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
Marc Finzi, Shikai Qiu, Yiding Jiang +3
cs.LGstat.MLarXiv:2601.03220v22026
ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware
Yuannuo Feng, Yizhe Chen, Wenshuai Yao +4
cs.CVarXiv:2609.00955v12026
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey, Bin Claire Zhang, Lorenzo Noci +6
cs.LGcs.AIarXiv:2505.01618v42025
Streaming4D: Accelerate 4D World Models via Block-wise Video Generation and Incremental Reconstruction
Xiaoyan Liu, Jiaxin Liu, Kangrui Li +1
cs.CVarXiv:2609.00610v12026
Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis
Minsik Choi, Geewook Kim, Young Geun Kim
cs.LGarXiv:2609.00746v12026
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac +3
cs.CVarXiv:2103.10957v22021
Web Price Extraction: State of the Art and an Adaptive Browserless Implementation
Evgeniia Kositsyna, Jorge Lloret-Gazo
cs.IRcs.LGcs.NEarXiv:2609.01030v12026
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +45
cs.CLarXiv:2502.11926v42025
Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization
Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado +1
math.OCarXiv:1608.07544v12016
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
John Asmuth, Lihong Li, Michael L. Littman +2
cs.LGarXiv:1205.2664v12012
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud
Seungjae Lee, Hyungtae Lim, Hyun Myung
cs.ROcs.CVarXiv:2207.11919v22022
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, Jia-Bin Huang
cs.CVarXiv:2306.05427v22023
PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian
Mohammad Hossein Shalchian, Mostafa Amiri, Amir Mahdi Sadeghzadeh
cs.CLarXiv:2609.00958v12026
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
cs.LGstat.MLarXiv:1903.10598v12019
Vehicle Re-identification with Viewpoint-aware Metric Learning
Ruihang Chu, Yifan Sun, Yadong Li +3
cs.CVarXiv:1910.04104v12019
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
Kailai Yang, Tianlin Zhang, Ziyan Kuang +3
cs.CLarXiv:2309.13567v32023
PhysGen3D: Crafting a Miniature Interactive World from a Single Image
Boyuan Chen, Hanxiao Jiang, Shaowei Liu +4
cs.CVarXiv:2503.20746v12025
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
Tong Wu, Guandao Yang, Zhibing Li +5
cs.CVarXiv:2401.04092v22024
Dyn-3D: Unveiling and Resolving Ego-Motion Ambiguity in Vision-Language Models
Jiayu Ding, Zhuodong Liu, Lei Zhang +6
cs.CVarXiv:2609.01059v12026
VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
Siyu Xu, Yunke Wang, Chenghao Xia +3
cs.ROcs.CVcs.LGarXiv:2502.02175v22025
Optimal Algorithms for $L_1$-subspace Signal Processing
Panos P. Markopoulos, George N. Karystinos, Dimitris A. Pados
cs.DSarXiv:1405.6785v12014
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
cs.CLcs.LGarXiv:2504.17674v12025
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition
Harshala Gammulle, Simon Denman, Sridha Sridharan +1
cs.CVarXiv:1704.01194v12017
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar +3
stat.MLcs.LGarXiv:1812.02224v22018
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Rui Pan, Yinwei Dai, Zhihao Zhang +3
cs.LGcs.AIarXiv:2504.07891v22025
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Shaopeng Guo, Yujie Wang, Quanquan Li +1
cs.CVcs.LGarXiv:2005.03354v22020
Scaling Video Analytics on Constrained Edge Nodes
Christopher Canel, Thomas Kim, Giulio Zhou +5
cs.CVcs.LGcs.PFarXiv:1905.13536v12019
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
Kai Nakamura, Sharon Levy, William Yang Wang
cs.CLcs.CYcs.IRarXiv:1911.03854v22019
DDT: Decoupled Diffusion Transformer
Shuai Wang, Zhi Tian, Weilin Huang +1
cs.CVcs.AIarXiv:2504.05741v22025
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
Pengxiang Wu, Siheng Chen, Dimitris Metaxas
cs.CVarXiv:2003.06754v12020
Energy-Based Learning for Scene Graph Generation
Mohammed Suhail, Abhay Mittal, Behjat Siddiquie +4
cs.CVcs.LGarXiv:2103.02221v12021
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Zeyi Sun, Ziyu Liu, Yuhang Zang +5
cs.AIcs.CLcs.CVarXiv:2508.04700v22025
Matched Queries for Curvature and Density at Branching Junctions
Ziqi Zhao, Qingjian Ni
stat.MLcs.LGarXiv:2609.01319v12026
SPEC: Seeing People in the Wild with an Estimated Camera
Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch +3
cs.CVarXiv:2110.00620v22021
Variational inference for large-scale models of discrete choice
Michael Braun, Jon McAuliffe
stat.MEstat.COstat.MLarXiv:0712.2526v32007
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubček +5
cs.LGcs.NEstat.MLarXiv:1612.05231v32016
OverThink: Slowdown Attacks on Reasoning LLMs
Abhinav Kumar, Jaechul Roh, Ali Naseh +4
cs.LGcs.CRarXiv:2502.02542v42025
Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain
Christof Ferreira Torres, Ramiro Camino, Radu State
cs.CRarXiv:2102.03347v22021
AdaMuon: Adaptive Muon Optimizer
Chongjie Si, Debing Zhang, Wei Shen
cs.LGarXiv:2507.11005v32025
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition
Chen Guo, Tianjian Jiang, Xu Chen +2
cs.CVarXiv:2302.11566v12023

Every paper with a summary

Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package

Improving the Diffusability of Autoencoders

Prediction-Robust Service Deployment with Capacity-Aware Edge Admission

MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

Preventing Posterior Collapse with delta-VAEs

Efficient discovery of unique column combinations on disk-resident data with limited memory

BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior

Evolutionary Stochastic Search for Bayesian model exploration

"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Imitation Learning as $f$-Divergence Minimization

Koopman-Based Robust Model Predictive Control for Nonlinear Systems with Stochastic Intermittent Measurements

Looking Beyond the Scale: Do Surgical Skill Models Learn Transferable Representations Across Assessment Rubrics?

Body size predicts how long ant workers live - but not how they age or how they die from heat

Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge

A Review of Keyphrase Extraction

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware

Don't be lazy: CompleteP enables compute-efficient deep transformers

Streaming4D: Accelerate 4D World Models via Block-wise Video Generation and Incremental Reconstruction

Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis

Efficient Visual Pretraining with Contrastive Detection

Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization

A Bayesian Sampling Approach to Exploration in Reinforcement Learning

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

Grounded Text-to-Image Synthesis with Attention Refocusing

PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

Vehicle Re-identification with Viewpoint-aware Metric Learning

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

PhysGen3D: Crafting a Miniature Interactive World from a Single Image

GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation

Dyn-3D: Unveiling and Resolving Ego-Motion Ambiguity in Vision-Language Models

VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching

Optimal Algorithms for $L_1$-subspace Signal Processing

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition

Adapting Auxiliary Losses Using Gradient Similarity

SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning

DMCP: Differentiable Markov Channel Pruning for Neural Networks

Scaling Video Analytics on Constrained Edge Nodes

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

DDT: Decoupled Diffusion Transformer

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

Energy-Based Learning for Scene Graph Generation

SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Matched Queries for Curvature and Density at Branching Junctions

SPEC: Seeing People in the Wild with an Estimated Camera

Variational inference for large-scale models of discrete choice

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

OverThink: Slowdown Attacks on Reasoning LLMs

Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain

AdaMuon: Adaptive Muon Optimizer

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition