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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46,381 to 46,440 of 61,306

HateBERT: Retraining BERT for Abusive Language Detection in English
Tommaso Caselli, Valerio Basile, Jelena Mitrović +1
cs.CLarXiv:2010.12472v22020
Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction
Azrin Sultana
cs.NEcs.AIarXiv:2608.25466v12026
AmbigQA: Answering Ambiguous Open-domain Questions
Sewon Min, Julian Michael, Hannaneh Hajishirzi +1
cs.CLcs.AIarXiv:2004.10645v22020
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber, Giacomo Domeniconi, Jie Chen +4
cs.SIcs.CYcs.LGarXiv:1908.02591v12019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan +6
cs.ROcs.CVcs.LGarXiv:1812.07252v32018
A 3D Summation-by-Parts scheme on a Hyperboloidal Foliation of Minkowski
Shalabh Gautam
gr-qcmath-phmath.AParXiv:2608.25363v12026
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
Jonathan Krause, Varun Gulshan, Ehsan Rahimy +5
cs.CVarXiv:1710.01711v32017
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang +3
cs.CVarXiv:1809.00437v12018
Learning to Match Using Local and Distributed Representations of Text for Web Search
Bhaskar Mitra, Fernando Diaz, Nick Craswell
cs.IRarXiv:1610.08136v12016
G-TAD: Sub-Graph Localization for Temporal Action Detection
Mengmeng Xu, Chen Zhao, David S. Rojas +2
cs.CVarXiv:1911.11462v22019
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen, Mingyu Ding, Xiaodi Wang +7
cs.CVarXiv:2202.03026v32022
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu +4
eess.SPcs.LGarXiv:1912.12528v22019
Data Augmentation for Graph Neural Networks
Tong Zhao, Yozen Liu, Leonardo Neves +3
cs.LGstat.MLarXiv:2006.06830v22020
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller, Roland Hafner, Thomas Lampe +6
cs.LGcs.ROstat.MLarXiv:1802.10567v12018
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang, Long Lian, Zhongqi Miao +2
cs.CVarXiv:2010.01809v42020
Entropy-stable moving-wall boundary conditions for the ALE formulation of the compressible Navier-Stokes equations
Luca Galimberti, Roberto Nuca, Lisandro Dalcin +2
math.NAmath.AParXiv:2608.25146v12026
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak, Yasaman Bahri, Daniel A. Abolafia +2
stat.MLcs.AIcs.LGarXiv:1802.08760v32018
Stealing Hyperparameters in Machine Learning
Binghui Wang, Neil Zhenqiang Gong
cs.CRcs.LGstat.MLarXiv:1802.05351v32018
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
Cunhua Pan, Hong Ren, Kezhi Wang +4
eess.SParXiv:1908.04863v42019
WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern, Joe Antognini, Michael Flynn +5
cs.SDcs.CLcs.LGarXiv:1907.01160v12019
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
Anshumali Shrivastava, Ping Li
stat.MLcs.DScs.IRarXiv:1405.5869v12014
Time-Optimal APSP and Matrix Multiplication in Classes of Linear Neighborhood Complexity
Édouard Bonnet, Julien Duron, Marcin Pilipczuk +2
cs.DScs.CCcs.DMarXiv:2608.25212v12026
A Symmetry-Preserving Tensor $\star_{\mathbf{M}}$-SVD
Victor Arsenescu, Misha E. Kilmer
math.NAarXiv:2608.24985v12026
Gated Linear Attention Transformers with Hardware-Efficient Training
Songlin Yang, Bailin Wang, Yikang Shen +2
cs.LGcs.CLarXiv:2312.06635v62023
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian Yu, Mohammad Ali Maddah-Ali, A. Salman Avestimehr
cs.ITcs.DCarXiv:1705.10464v22017
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li, Haoyi Xiong, Xingjian Li +5
cs.LGarXiv:2103.10689v32021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Hongyu Ren +3
cs.LGarXiv:2103.09430v32021
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application
Te Han, Chao Liu, Wenguang Yang +1
cs.LGstat.MLarXiv:1804.07265v12018
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang +3
cs.CVarXiv:1805.10483v12018
Learning to Optimize Tensor Programs
Tianqi Chen, Lianmin Zheng, Eddie Yan +5
cs.LGstat.MLarXiv:1805.08166v42018
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.05446v22017
Giving Mechanical Engineers Intelligent Tools: A Project-Based AI Education Curriculum in Thermal Engineering
Changgen Li, Han Hu, Christy Dunlap +2
cs.CYarXiv:2608.26056v12026
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
George C. Linderman, Manas Rachh, Jeremy G. Hoskins +2
cs.LGstat.MLarXiv:1712.09005v12017
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu, Jiaxin Shi, Zhen Li +3
cs.CVarXiv:1604.07043v32016
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives
Chen Gao, Xiaochong Lan, Nian Li +5
cs.AIcs.CLcs.CYarXiv:2312.11970v12023
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik +3
cs.CVarXiv:1701.01619v22017
APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization
Sungyeob Yoo, Seeyeon Kim, Joonyong Park +2
cs.ARarXiv:2608.25380v12026
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu
cs.ROcs.CVarXiv:1904.06993v12019
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan +7
cs.LGcs.AIarXiv:2311.06184v12023
Post-Training Quantization for Vision Transformer
Zhenhua Liu, Yunhe Wang, Kai Han +2
cs.CVarXiv:2106.14156v12021
FreeSASA: An open source C library for solvent accessible surface area calculations
Simon Mitternacht
q-bio.BMarXiv:1601.06764v12016
Disentangling Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Rota Bulò, Lorenzo Porzi +2
cs.CVarXiv:1905.12365v12019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho, Xi Chen, Aravind Srinivas +2
cs.LGcs.NEstat.MLarXiv:1902.00275v22019
Reducing Activation Recomputation in Large Transformer Models
Vijay Korthikanti, Jared Casper, Sangkug Lym +4
cs.LGcs.CLarXiv:2205.05198v12022
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2305.07759v22023
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David M. Blei, Victor Veitch
stat.MLcs.LGstat.MEarXiv:1906.02120v22019
CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
Zhihao Du, Qian Chen, Shiliang Zhang +9
cs.SDcs.AIeess.ASarXiv:2407.05407v22024
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah Goodman
cs.LGstat.MLarXiv:1802.05335v32018
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
cs.LGcs.AIcs.CLarXiv:2403.03218v72024
Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks
Jingwei Li, Thomas G. Robertazzi
cs.DCarXiv:2608.25087v12026
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha, Jose Dolz
cs.CVarXiv:1906.02849v32019
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Xiaoyuan Liang, Xunsheng Du, Guiling Wang +1
cs.LGcs.AIstat.MLarXiv:1803.11115v12018
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman +3
cs.ROcs.AIcs.CVarXiv:2210.00030v22022
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Jie Xu, Lixing Chen, Pan Zhou
cs.DCarXiv:1801.05868v12018
Scene Text Visual Question Answering
Ali Furkan Biten, Ruben Tito, Andres Mafla +5
cs.CVarXiv:1905.13648v22019
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas, Dan Klein, Sergey Levine
cs.LGcs.NEarXiv:1611.01796v22016
Local, Private, Efficient Protocols for Succinct Histograms
Raef Bassily, Adam Smith
cs.CRcs.DScs.LGarXiv:1504.04686v12015
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Wenxuan Zhang, Xiaodong Cun, Xuan Wang +5
cs.CVarXiv:2211.12194v22022
MonoScene: Monocular 3D Semantic Scene Completion
Anh-Quan Cao, Raoul de Charette
cs.CVcs.AIcs.ROarXiv:2112.00726v22021
WaveOp-LiteFM: Lightweight Neural-Operator Flow Matching for Satellite-to-Radar Precipitation Retrieval
Chunlei Shi, Yecheng Zhang, Yufeng Zhu +4
cs.MMarXiv:2608.25818v12026

Every paper with a summary

HateBERT: Retraining BERT for Abusive Language Detection in English

Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction

AmbigQA: Answering Ambiguous Open-domain Questions

Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

A 3D Summation-by-Parts scheme on a Hyperboloidal Foliation of Minkowski

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy

Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks

Learning to Match Using Local and Distributed Representations of Text for Web Search

G-TAD: Sub-Graph Localization for Temporal Action Detection

Context Autoencoder for Self-Supervised Representation Learning

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

Data Augmentation for Graph Neural Networks

Learning by Playing - Solving Sparse Reward Tasks from Scratch

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Entropy-stable moving-wall boundary conditions for the ALE formulation of the compressible Navier-Stokes equations

Sensitivity and Generalization in Neural Networks: an Empirical Study

Stealing Hyperparameters in Machine Learning

Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

WHAM!: Extending Speech Separation to Noisy Environments

Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)

Time-Optimal APSP and Matrix Multiplication in Classes of Linear Neighborhood Complexity

A Symmetry-Preserving Tensor $\star_{\mathbf{M}}$-SVD

Gated Linear Attention Transformers with Hardware-Efficient Training

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication

Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

Learning to Optimize Tensor Programs

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

Giving Mechanical Engineers Intelligent Tools: A Project-Based AI Education Curriculum in Thermal Engineering

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Towards Better Analysis of Deep Convolutional Neural Networks

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Learning From Noisy Large-Scale Datasets With Minimal Supervision

APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization

Tightly Coupled 3D Lidar Inertial Odometry and Mapping

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Post-Training Quantization for Vision Transformer

FreeSASA: An open source C library for solvent accessible surface area calculations

Disentangling Monocular 3D Object Detection

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

Reducing Activation Recomputation in Large Transformer Models

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Adapting Neural Networks for the Estimation of Treatment Effects

CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Multimodal Generative Models for Scalable Weakly-Supervised Learning

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks

Multi-scale self-guided attention for medical image segmentation

Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

Scene Text Visual Question Answering

Modular Multitask Reinforcement Learning with Policy Sketches

Local, Private, Efficient Protocols for Succinct Histograms

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

MonoScene: Monocular 3D Semantic Scene Completion

WaveOp-LiteFM: Lightweight Neural-Operator Flow Matching for Satellite-to-Radar Precipitation Retrieval