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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43,741 to 43,800 of 61,393

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu, Xiaosong Jia, Li Chen +3
cs.CVcs.AIcs.ROarXiv:2206.08129v22022
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
Tu Vu, Mohit Iyyer, Xuezhi Wang +8
cs.CLarXiv:2310.03214v22023
Unsaid, Unsafe? Implicit Security Obligations in LLM-Based RTL Code Generation
Guang Yang, Xing Hu, Xiang Chen +1
cs.CRcs.SEarXiv:2608.26588v12026
Deep Learning for Answer Sentence Selection
Lei Yu, Karl Moritz Hermann, Phil Blunsom +1
cs.CLarXiv:1412.1632v12014
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt +3
cs.LGcs.DSarXiv:1411.2664v32014
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo +3
cs.CLcs.AIcs.LGarXiv:2309.03883v22023
Truss Decomposition in Massive Networks
Jia Wang, James Cheng
cs.DBarXiv:1205.6693v12012
Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus
George Danezis, Eleftherios Kokoris Kogias, Alberto Sonnino +1
cs.CRcs.DCarXiv:2105.11827v42021
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He +2
cs.CLcs.AIcs.LGarXiv:2312.15685v22023
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus, Eric Moulines
math.STstat.MEstat.MLarXiv:1605.01559v42016
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
Jiaqi Mu, Suma Bhat, Pramod Viswanath
cs.CLstat.MLarXiv:1702.01417v22017
Planning a Shared Modular Fixture Layout Across Robotic Disassembly Stages
Haohui Pan, Takuya Kiyokawa, Kensuke Harada
cs.ROarXiv:2608.27151v12026
A Poissonian explanation for heavy-tails in e-mail communication
R. Dean Malmgren, Daniel B. Stouffer, Adilson E. Motter +1
physics.soc-phcs.CYphysics.data-anarXiv:0901.0585v12009
GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation
Yibo Qiu, Haoliang Ye, Shu'ang Sun +3
cs.ROarXiv:2608.27079v12026
High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis -- With an Application to Gravitational-Wave Signal
Duong-Hung Pham, Sylvain Meignen
eess.SPmath.FAarXiv:2004.09399v12020
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh +2
cs.LGcs.AIcs.PLarXiv:1804.02477v32018
Optimal Pricing in Networks with Externalities
Ozan Candogan, Kostas Bimpikis, Asuman Ozdaglar
cs.GTcs.NIarXiv:1101.5617v12011
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks
Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes +1
cs.NIarXiv:1802.06958v12018
The Contextual Loss for Image Transformation with Non-Aligned Data
Roey Mechrez, Itamar Talmi, Lihi Zelnik-Manor
cs.CVcs.LGarXiv:1803.02077v42018
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero +4
cs.LGarXiv:1608.05343v22016
Computing a Nonnegative Matrix Factorization -- Provably
Sanjeev Arora, Rong Ge, Ravi Kannan +1
cs.DScs.LGarXiv:1111.0952v12011
Beyond Shallow-Water Photorealism: Physically and Sensor-Grounded Simulation for Deep-Sea Robotics
Michele Grimaldi, Enrico Di Maria, Ignacio Carlucho +1
cs.ROarXiv:2608.26888v12026
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
cs.LGcs.NEstat.MLarXiv:1910.11858v32019
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank, Anders Søgaard, Yoav Goldberg
cs.CLarXiv:1604.05529v32016
Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT
Lucia Sundberg, Zhihao Zhao, M. Ali Nasseri
cs.CVarXiv:2608.27095v12026
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
cs.LGcs.NEcs.ROarXiv:2005.00611v42020
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
cs.CVcs.CRcs.CYarXiv:1703.10660v22017
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi +11
cs.IRcs.AIarXiv:2306.05817v62023
Bridging short- and medium-range weather forecasting with machine learning
Timothy A. Smith, Mariah Pope, Sergey Frolov +4
physics.ao-phcs.LGarXiv:2608.26822v12026
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks, Can Rager, Eric J. Michaud +3
cs.LGcs.AIcs.CLarXiv:2403.19647v32024
Skew braces and the Yang-Baxter equation
L. Guarnieri, L. Vendramin
math.QAmath.GRarXiv:1511.03171v32015
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson, Henry Gouk, Chen Change Loy +1
cs.LGcs.CVstat.MLarXiv:2110.09327v12021
Generalized Louvain Method for Community Detection in Large Networks
Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara +1
cs.SIphysics.soc-pharXiv:1108.1502v22011
End-to-End Simulation of 5G mmWave Networks
Marco Mezzavilla, Menglei Zhang, Michele Polese +4
cs.NIarXiv:1705.02882v32017
JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocols
Chen Chen, Yaolin Chen, Xuehan Sun +5
cs.CLarXiv:2608.26982v12026
Structure and dynamics of core-periphery networks
Peter Csermely, Andras London, Ling-Yun Wu +1
physics.soc-phcs.NIcs.SIarXiv:1309.6928v22013
Preserving General Capabilities during Domain Specialization with Uncertainty-Calibrated MOPD
Ziyuan Liu, Jiao Ou, Jian Liang +2
cs.CLarXiv:2608.26735v12026
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Xianyan Jia, Shutao Song, Wei He +11
cs.LGcs.DCstat.MLarXiv:1807.11205v12018
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann, David Mizrahi, Andrei Atanov +1
cs.CVcs.LGarXiv:2204.01678v12022
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Zhe Liu, Xin Zhao, Tengteng Huang +3
cs.CVarXiv:1912.05163v12019
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach, Victor Sanh, Zheng-Xin Yong +24
cs.LGcs.CLarXiv:2202.01279v32022
Shallow Attention Network for Polyp Segmentation
Jun Wei, Yiwen Hu, Ruimao Zhang +3
cs.CVarXiv:2108.00882v12021
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao, Vincent Lepetit, Renaud Marlet
cs.CVarXiv:2007.12107v22020
Real-World Humanoid Locomotion with Reinforcement Learning
Ilija Radosavovic, Tete Xiao, Bike Zhang +3
cs.ROcs.LGarXiv:2303.03381v22023
Quantum Computing: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh +4
cs.ETcs.DCarXiv:2010.15559v42020
Heterogeneous Graph Neural Networks for Malicious Account Detection
Ziqi Liu, Chaochao Chen, Xinxing Yang +3
cs.LGcs.CRstat.MLarXiv:2002.12307v12020
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Nan Jiang, Thibaud Lutellier, Lin Tan
cs.SEcs.AIcs.LGarXiv:2103.00073v42021
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu, Yisen Wang
cs.LGcs.CRcs.CVarXiv:2110.14430v12021
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding +1
cs.LGcs.LOstat.MLarXiv:1911.00055v12019
Parameter Efficient Continual Learning for Sparse Event-Based Transformers
Vaishnavi Nagabhushana, Kartikay Agrawal, Ayon Borthakur
cs.CVarXiv:2608.26720v12026
Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Shangchen Zhou, Kelvin C. K. Chan, Chongyi Li +1
cs.CVarXiv:2206.11253v22022
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus, Lei Jimmy Ba, Brendan Frey
cs.CVq-bio.SCstat.MLarXiv:1511.05286v12015
Efficient measurement of quantum gate error by interleaved randomized benchmarking
Easwar Magesan, Jay M. Gambetta, B. R. Johnson +9
quant-pharXiv:1203.4550v22012
A generative modeling approach for benchmarking and training shallow quantum circuits
Marcello Benedetti, Delfina Garcia-Pintos, Oscar Perdomo +3
quant-pharXiv:1801.07686v42018
Exploiting Local Features from Deep Networks for Image Retrieval
Joe Yue-Hei Ng, Fan Yang, Larry S. Davis
cs.CVarXiv:1504.05133v22015
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang, Bencheng Liao, Xinggang Wang +5
cs.CVcs.AIcs.LGarXiv:2106.00666v32021
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao +1
cs.SDcs.LGeess.ASarXiv:1905.04874v12019
Cascaded Batch Prompting
Sho Hoshino, Peinan Zhang
cs.CLarXiv:2608.27038v12026
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka +1
cs.SDcs.LGeess.ASarXiv:1806.02169v22018
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Olivier Chapelle, Miroslav Dudik +1
cs.LGstat.MLarXiv:1110.4198v32011

Every paper with a summary

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Unsaid, Unsafe? Implicit Security Obligations in LLM-Based RTL Code Generation

Deep Learning for Answer Sentence Selection

Preserving Statistical Validity in Adaptive Data Analysis

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Truss Decomposition in Massive Networks

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

Planning a Shared Modular Fixture Layout Across Robotic Disassembly Stages

A Poissonian explanation for heavy-tails in e-mail communication

GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation

High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis -- With an Application to Gravitational-Wave Signal

Programmatically Interpretable Reinforcement Learning

Optimal Pricing in Networks with Externalities

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

The Contextual Loss for Image Transformation with Non-Aligned Data

Decoupled Neural Interfaces using Synthetic Gradients

Computing a Nonnegative Matrix Factorization -- Provably

Beyond Shallow-Water Photorealism: Physically and Sensor-Grounded Simulation for Deep-Sea Robotics

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss

Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT

Neural Lyapunov Control

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

How Can Recommender Systems Benefit from Large Language Models: A Survey

Bridging short- and medium-range weather forecasting with machine learning

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Skew braces and the Yang-Baxter equation

Self-Supervised Representation Learning: Introduction, Advances and Challenges

Generalized Louvain Method for Community Detection in Large Networks

End-to-End Simulation of 5G mmWave Networks

JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocols

Structure and dynamics of core-periphery networks

Preserving General Capabilities during Domain Specialization with Uncertainty-Calibrated MOPD

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

MultiMAE: Multi-modal Multi-task Masked Autoencoders

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Shallow Attention Network for Polyp Segmentation

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

Real-World Humanoid Locomotion with Reinforcement Learning

Quantum Computing: A Taxonomy, Systematic Review and Future Directions

Heterogeneous Graph Neural Networks for Malicious Account Detection

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

Adversarial Neuron Pruning Purifies Backdoored Deep Models

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Parameter Efficient Continual Learning for Sparse Event-Based Transformers

Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning

Efficient measurement of quantum gate error by interleaved randomized benchmarking

A generative modeling approach for benchmarking and training shallow quantum circuits

Exploiting Local Features from Deep Networks for Image Retrieval

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement

Cascaded Batch Prompting

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

A Reliable Effective Terascale Linear Learning System