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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57,481 to 57,540 of 117,809

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Ruihui Li, Xianzhi Li, Pheng-Ann Heng +1
cs.CVarXiv:2002.10876v22020
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Raphael E. Stern, Shumo Cui, Maria Laura Delle Monache +11
eess.SYarXiv:1705.01693v12017
AnalogCoder: Analog Circuit Design via Training-Free Code Generation
Yao Lai, Sungyoung Lee, Guojin Chen +4
cs.LGcs.ETarXiv:2405.14918v22024
Convergence Rate of Distributed ADMM over Networks
Ali Makhdoumi, Asuman Ozdaglar
math.OCarXiv:1601.00194v12016
Stagewise Safe Bayesian Optimization with Gaussian Processes
Yanan Sui, Vincent Zhuang, Joel W. Burdick +1
cs.LGstat.MLarXiv:1806.07555v22018
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
Song Bian, Tao Yu, Shivaram Venkataraman +1
cs.LGcs.AIarXiv:2510.18245v32025
Unsupervised Recurrent Neural Network Grammars
Yoon Kim, Alexander M. Rush, Lei Yu +3
cs.CLstat.MLarXiv:1904.03746v62019
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White, Arber Zela, Binxin Ru +2
cs.LGcs.NEstat.MLarXiv:2104.01177v22021
An Exploratory Study of Frequency-Aware Task Weighting for YOLOv8-Based Unified Driving Perception
Zhiyuan Nie, Zixi Zhou, Xianbin Gu
cs.CVcs.LGarXiv:2609.05516v12026
DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
Quanhao Li, Junqiu Yu, Kaixun Jiang +7
cs.LGcs.CVarXiv:2605.15055v12026
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
Spencer M. Richards, Felix Berkenkamp, Andreas Krause
eess.SYcs.LGcs.ROarXiv:1808.00924v22018
An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments
Zhichao Han, Yuwei Wu, Tong Li +8
cs.ROarXiv:2208.13160v22022
Tomography and Generative Data Modeling via Quantum Boltzmann Training
Maria Kieferova, Nathan Wiebe
quant-pharXiv:1612.05204v12016
Improved Regularization Techniques for End-to-End Speech Recognition
Yingbo Zhou, Caiming Xiong, Richard Socher
cs.CLcs.SDeess.ASarXiv:1712.07108v12017
WiP: Characterizing and Defending Against Mobile-Agent-Driven MFA Automation
Yimeng Liu, Hua Huang
cs.NIarXiv:2609.02154v12026
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Hao Cheng, Zhaowei Zhu, Xingyu Li +3
cs.LGstat.MLarXiv:2010.02347v22020
Asteroid families classification: exploiting very large data sets
Andrea Milani, Alberto Cellino, Zoran Knezevic +3
astro-ph.EParXiv:1312.7702v22013
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
Jack Foster, Stefan Schoepf, Alexandra Brintrup
cs.LGarXiv:2308.07707v22023
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
Nikolaus Mayer, Eddy Ilg, Philipp Fischer +4
cs.CVstat.MLarXiv:1801.06397v32018
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
Huiwon Jang, Sihyun Yu, Heeseung Kwon +3
cs.ROcs.AIarXiv:2510.04246v12025
On the linearity of large non-linear models: when and why the tangent kernel is constant
Chaoyue Liu, Libin Zhu, Mikhail Belkin
cs.LGstat.MLarXiv:2010.01092v32020
When and What to Teach: Budget-Aware Online Adaptation for Web Agents
Jianwei Zhang, Sihan Cao, Pengcheng Zheng +7
cs.AIcs.CVcs.LGarXiv:2609.05513v12026
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Yiyang Zhou, Chenhang Cui, Jaehong Yoon +5
cs.LGcs.CLcs.CVarXiv:2310.00754v22023
Viewpoints and Keypoints
Shubham Tulsiani, Jitendra Malik
cs.CVarXiv:1411.6067v22014
LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models
Yen-Ting Lin, Yun-Nung Chen
cs.CLcs.AIarXiv:2305.13711v12023
Examining the consumption of radical content on YouTube
Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset +3
cs.SIcs.CYcs.IRarXiv:2011.12843v22020
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Yunpeng Zhang, Zheng Zhu, Wenzhao Zheng +4
cs.CVarXiv:2205.09743v12022
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang, Xingjian Shi, Irwin King +1
cs.AIcs.LGarXiv:1611.08108v22016
Deep Burst Super-Resolution
Goutam Bhat, Martin Danelljan, Luc Van Gool +1
cs.CVarXiv:2101.10997v22021
Probabilistic Numerics and Uncertainty in Computations
Philipp Hennig, Michael A Osborne, Mark Girolami
math.NAcs.AIcs.LGarXiv:1506.01326v12015
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Zhiqi Li, Wenhai Wang, Hongyang Li +5
cs.CVarXiv:2203.17270v22022
SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO
Dharmendra Kumar
cs.NIcs.LGeess.SParXiv:2609.05861v12026
Fully Convolutional Networks for Semantic Segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell
cs.CVarXiv:1411.4038v22014
Question Answering as an Automatic Evaluation Metric for News Article Summarization
Matan Eyal, Tal Baumel, Michael Elhadad
cs.CLcs.IRarXiv:1906.00318v12019
Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms
Jakob Ablinger, Johannes Blümlein, Carsten Schneider
math-phcs.SChep-pharXiv:1302.0378v12013
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Akari Asai, Jacqueline He, Rulin Shao +22
cs.CLcs.AIcs.DLarXiv:2411.14199v12024
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
Gourab K Patro, Arpita Biswas, Niloy Ganguly +2
cs.AIcs.GTarXiv:2002.10764v22020
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Kin Wai Lau, Lai-Man Po, Yasar Abbas Ur Rehman
cs.CVarXiv:2309.01439v32023
FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching
Zhihan Xu, Jayashree Adivarahan, Rajgopal Kannan +1
cs.CRcs.ARarXiv:2609.09423v12026
Nonlinear Approximation and (Deep) ReLU Networks
I. Daubechies, R. DeVore, S. Foucart +2
cs.LGarXiv:1905.02199v12019
MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft
Tianjie Ju, Yueqing Sun, Zheng Wu +7
cs.CLarXiv:2605.30931v22026
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall, Max Welling
cs.LGcs.CVstat.MLarXiv:1905.11697v12019
Efficient Long-context Language Model Training by Core Attention Disaggregation
Yonghao Zhuang, Junda Chen, Bo Pang +6
cs.LGcs.DCarXiv:2510.18121v12025
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
cs.LGcs.AImath.OCarXiv:2010.02068v42020
Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion
Van Khoa Nguyen, Alexandros Kalousis
cs.LGarXiv:2608.13457v12026
FMA: A Dataset For Music Analysis
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst +1
cs.SDcs.IRarXiv:1612.01840v32016
XSkill: Cross Embodiment Skill Discovery
Mengda Xu, Zhenjia Xu, Cheng Chi +2
cs.ROcs.AIcs.LGarXiv:2307.09955v22023
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation
Christoph Angermann, Markus Haltmeier, Ruth Steiger +2
cs.CVeess.IVarXiv:1902.00347v22019
DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents
Yubin Wang, Xingjian Wei, Jiang Wu +33
cs.CLarXiv:2609.06703v12026
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen +12
cs.CYcs.AIcs.HCarXiv:2310.00658v12023
CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
Zhengyang Tang, Zihan Ye, Chenyu Huang +9
cs.CLcs.AIcs.CEarXiv:2510.04204v12025
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
Stone Tao, Fanbo Xiang, Arth Shukla +20
cs.ROcs.AIarXiv:2410.00425v22024
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen, Daphna Weinshall
cs.LGstat.MLarXiv:1904.03626v32019
Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection
Ewoud J. J. Smeur, Guido C. H. E. de Croon, Qiping Chu
cs.ROarXiv:1701.07254v22017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
cs.CVcs.LGarXiv:1611.05377v12016
3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models
Yuhan Zhang, Mengchen Zhang, Tong Wu +4
cs.CVarXiv:2503.21745v32025
Agent-based Modeling: Equilibrium, Echo Chambers, and Efficiency in Hybrid Coevolutionary Opinion Games
Ming-Zhi Jiang, An-Tzi Teng, Jun-En Liu +2
cs.GTcs.MAcs.SIarXiv:2609.27639v12026
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Bražinskas, Mirella Lapata, Ivan Titov
cs.CLcs.IRcs.LGarXiv:1911.02247v22019
gMark: Schema-Driven Generation of Graphs and Queries
Guillaume Bagan, Angela Bonifati, Radu Ciucanu +3
cs.DBarXiv:1511.08386v62015
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach
Insoon Yang
math.OCeess.SYarXiv:1812.09808v42018

Every paper with a summary

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments

AnalogCoder: Analog Circuit Design via Training-Free Code Generation

Convergence Rate of Distributed ADMM over Networks

Stagewise Safe Bayesian Optimization with Gaussian Processes

Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

Unsupervised Recurrent Neural Network Grammars

How Powerful are Performance Predictors in Neural Architecture Search?

An Exploratory Study of Frequency-Aware Task Weighting for YOLOv8-Based Unified Driving Perception

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems

An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments

Tomography and Generative Data Modeling via Quantum Boltzmann Training

Improved Regularization Techniques for End-to-End Speech Recognition

WiP: Characterizing and Defending Against Mobile-Agent-Driven MFA Automation

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Asteroid families classification: exploiting very large data sets

Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context

On the linearity of large non-linear models: when and why the tangent kernel is constant

When and What to Teach: Budget-Aware Online Adaptation for Web Agents

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Viewpoints and Keypoints

LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Examining the consumption of radical content on YouTube

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Dynamic Key-Value Memory Networks for Knowledge Tracing

Deep Burst Super-Resolution

Probabilistic Numerics and Uncertainty in Computations

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO

Fully Convolutional Networks for Semantic Segmentation

Question Answering as an Automatic Evaluation Metric for News Article Summarization

Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN

FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching

Nonlinear Approximation and (Deep) ReLU Networks

MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft

Deep Scale-spaces: Equivariance Over Scale

Efficient Long-context Language Model Training by Core Attention Disaggregation

Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows

Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion

FMA: A Dataset For Music Analysis

XSkill: Cross Embodiment Skill Discovery

Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation

DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents

The Robots are Here: Navigating the Generative AI Revolution in Computing Education

CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

On The Power of Curriculum Learning in Training Deep Networks

Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models

Agent-based Modeling: Equilibrium, Echo Chambers, and Efficiency in Hybrid Coevolutionary Opinion Games

Unsupervised Opinion Summarization as Copycat-Review Generation

gMark: Schema-Driven Generation of Graphs and Queries

Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach