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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10,681 to 10,740 of 61,428

A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
Eduard Gorbunov, Filip Hanzely, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1905.11261v12019
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
Nina Poerner, Ulli Waltinger, Hinrich Schütze
cs.CLarXiv:1911.03681v22019
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer
Urchade Zaratiana, Nadi Tomeh, Pierre Holat +1
cs.CLcs.AIcs.LGarXiv:2311.08526v12023
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu, Rui Wen, Xinlei He +6
cs.CRcs.AIcs.LGarXiv:2102.02551v22021
The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines
Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, David García-Soriano +2
cs.DCarXiv:1504.00788v12015
Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning
Samarth Tripathi, Sarthak Tripathi, Homayoon Beigi
cs.AIcs.CVcs.HCarXiv:1804.05788v32018
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
cs.LGstat.MLarXiv:1502.02362v22015
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +3
eess.IVcs.CVarXiv:2211.07273v102022
ROP: Matrix recovery via rank-one projections
T. Tony Cai, Anru Zhang
math.STcs.ITstat.MEarXiv:1310.5791v32013
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Wen Zhang, Dongrui Wu
cs.HCcs.LGarXiv:1910.05878v22019
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu, Huayu Chen, Jianfei Chen +3
cs.LGarXiv:2304.12824v22023
Implicit Style-Content Separation using B-LoRA
Yarden Frenkel, Yael Vinker, Ariel Shamir +1
cs.CVarXiv:2403.14572v22024
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare, Georg Ostrovski, Arthur Guez +2
cs.AIcs.LGarXiv:1512.04860v12015
RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting
Yuchen He, Yueyang Cang, Zhiyuan Ning +2
cs.LGcs.AIarXiv:2609.03937v12026
A Partition Filter Network for Joint Entity and Relation Extraction
Zhiheng Yan, Chong Zhang, Jinlan Fu +2
cs.CLarXiv:2108.12202v82021
A Discrete Hard EM Approach for Weakly Supervised Question Answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi +1
cs.CLcs.AIarXiv:1909.04849v12019
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Tung Nguyen, Aditya Grover
cs.LGcs.AIarXiv:2207.04179v22022
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
Yang Li, Bin Wang, Zhen Yang +2
eess.SYeess.SPmath.OCarXiv:2108.08055v12021
LDTk: Limb Darkening Toolkit
Hannu Parviainen, Suzanne Aigrain
astro-ph.EPastro-ph.IMastro-ph.SRarXiv:1508.02634v12015
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
Junbum Cha, Jonghwan Mun, Byungseok Roh
cs.CVarXiv:2212.00785v22022
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
Ahmet M. Elbir, Kumar Vijay Mishra, Sergiy A. Vorobyov +1
eess.SPcs.ITarXiv:2211.02165v32022
Concurrent learning for parameter estimation using dynamic state-derivative estimators
Rushikesh Kamalapurkar, Ben Reish, Girish Chowdhary +1
eess.SYmath.OCarXiv:1507.08903v12015
Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta +1
cs.ETarXiv:1804.00267v22018
FedLab: A Flexible Federated Learning Framework
Dun Zeng, Siqi Liang, Xiangjing Hu +2
cs.LGcs.AIarXiv:2107.11621v42021
Text Relatedness Based on a Word Thesaurus
George Tsatsaronis, Iraklis Varlamis, Michalis Vazirgiannis
cs.CLarXiv:1401.5699v12014
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov, Marina Danilova, Alexander Gasnikov
math.OCcs.LGarXiv:2005.10785v22020
Continuously Differentiable Exponential Linear Units
Jonathan T. Barron
cs.LGarXiv:1704.07483v12017
RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting
Tomas Guija-Valiente, Blanca Rodriguez-Gonzalez, Norberto Malpica +1
cs.CVcs.AIcs.LGarXiv:2609.03956v12026
Translating Images into Maps
Avishkar Saha, Oscar Mendez Maldonado, Chris Russell +1
cs.CVarXiv:2110.00966v22021
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
Jiaxiang Tang, Hang Zhou, Xiaokang Chen +4
cs.CVarXiv:2303.02091v22023
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo +2
cs.CRcs.AIcs.CLarXiv:2404.16873v22024
Distributed Maximum Likelihood Sensor Network Localization
Andrea Simonetto, Geert Leus
cs.ITarXiv:1309.2502v22013
Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO
Hyun Bin Park, Du-Seong Chang
cs.LGcs.AIcs.CLarXiv:2609.03941v12026
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar +1
cs.CVcs.LGarXiv:1809.05934v22018
Pleiotropy robust methods for multivariable Mendelian randomization
Andrew J. Grant, Stephen Burgess
stat.MEarXiv:2008.11997v12020
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models
Nora Kassner, Philipp Dufter, Hinrich Schütze
cs.CLarXiv:2102.00894v12021
The probability flow ODE is provably fast
Sitan Chen, Sinho Chewi, Holden Lee +3
cs.LGmath.STstat.MLarXiv:2305.11798v12023
Masked Autoregressive Speech Enhancement with Continuous Neural Audio Codec Representations
Yoto Fujita, Simon Leglaive, Laurent Girin
cs.SDcs.AIarXiv:2609.03940v12026
Ht-Index for Quantifying the Fractal or Scaling Structure of Geographic Features
Bin Jiang, Junjun Yin
nlin.AOnlin.CDphysics.data-anarXiv:1305.0883v42013
Towards real-time unsupervised monocular depth estimation on CPU
Matteo Poggi, Filippo Aleotti, Fabio Tosi +1
cs.CVcs.ROarXiv:1806.11430v32018
Fractional Hedonic Games
Haris Aziz, Florian Brandl, Felix Brandt +3
cs.GTarXiv:1705.10116v12017
A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization
Sungmin Kang, Gabin An, Shin Yoo
cs.SEarXiv:2308.05487v32023
GraFT: A Training-Free Framework for Spatial Reasoning in Multimodal Large Language Models via 3D Scene Graphs
Junqing Du, Fernando Ropero, Erkin Turkoz +2
cs.CVcs.AIcs.ROarXiv:2609.03892v12026
Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios, Iain Murray
stat.MLcs.LGstat.COarXiv:1605.06376v42016
FWBC-VLA: Force-Aware Whole-Body Compensation for Contact-Rich Loco-Manipulation
Yutian Zhang, Siyuan Ma, Liwen Yang +6
cs.ROcs.AIarXiv:2609.03889v22026
Heterogeneous Risk Minimization
Jiashuo Liu, Zheyuan Hu, Peng Cui +2
cs.LGarXiv:2105.03818v32021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee, Jooyoung Choi, Jisoo Mok +1
cs.CVcs.LGarXiv:2110.06530v12021
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics
Daniel Kang, Peter Bailis, Matei Zaharia
cs.DBarXiv:1805.01046v22018
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Shujun Wang, Lequan Yu, Kang Li +3
cs.CVarXiv:1906.11143v22019
A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors
Pengxun Li, Litian Zhang, Jianwei Hou +4
cs.CRcs.AIarXiv:2609.03884v12026
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding, Lawrence Carin
stat.MLarXiv:1610.06665v12016
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych
cs.CLcs.AIcs.LGarXiv:2009.12303v42020
Speech Emotion Recognition using Self-Supervised Features
Edmilson Morais, Ron Hoory, Weizhong Zhu +3
cs.SDcs.AIcs.LGarXiv:2202.03896v12022
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi, Michael Schaarschmidt, James Martens +6
cs.LGq-bio.BMstat.MLarXiv:2206.00133v22022
How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset
Rafael-Michael Karampatsis, Charles Sutton
cs.SEcs.PLarXiv:1905.13334v22019
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Donghan Yu, Sheng Zhang, Patrick Ng +7
cs.CLcs.AIcs.LGarXiv:2210.00063v22022
Generating Steganographic Text with LSTMs
Tina Fang, Martin Jaggi, Katerina Argyraki
cs.AIcs.CRcs.MMarXiv:1705.10742v12017
GazeFS: Target-Centered Gaze-Trajectory Forecasting and Stabilization from Gaze-Head History
Yaozheng Xia, Zaiping Zhu, Bo Pang +4
cs.HCcs.AIarXiv:2609.03868v12026
Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data
Lamine Diop, Marc Plantevit
cs.LGcs.AIarXiv:2609.03878v12026
A survey on fuzzy fractional differential and optimal control nonlocal evolution equations
Ravi P. Agarwal, Dumitru Baleanu, Juan J. Nieto +2
math.OCarXiv:1709.07766v12017

Every paper with a summary

A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

MLIC: Multi-Reference Entropy Model for Learned Image Compression

ROP: Matrix recovery via rank-one projections

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Implicit Style-Content Separation using B-LoRA

Increasing the Action Gap: New Operators for Reinforcement Learning

RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

A Partition Filter Network for Joint Entity and Relation Extraction

A Discrete Hard EM Approach for Weakly Supervised Question Answering

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

LDTk: Limb Darkening Toolkit

Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs

Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques

Concurrent learning for parameter estimation using dynamic state-derivative estimators

Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons

FedLab: A Flexible Federated Learning Framework

Text Relatedness Based on a Word Thesaurus

Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping

Continuously Differentiable Exponential Linear Units

RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Translating Images into Maps

Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Distributed Maximum Likelihood Sensor Network Localization

Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO

Maximum-Entropy Fine-Grained Classification

Pleiotropy robust methods for multivariable Mendelian randomization

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models

The probability flow ODE is provably fast

Masked Autoregressive Speech Enhancement with Continuous Neural Audio Codec Representations

Ht-Index for Quantifying the Fractal or Scaling Structure of Geographic Features

Towards real-time unsupervised monocular depth estimation on CPU

Fractional Hedonic Games

A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization

GraFT: A Training-Free Framework for Spatial Reasoning in Multimodal Large Language Models via 3D Scene Graphs

Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation

FWBC-VLA: Force-Aware Whole-Body Compensation for Contact-Rich Loco-Manipulation

Heterogeneous Risk Minimization

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics

Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors

On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators

Towards Debiasing NLU Models from Unknown Biases

Speech Emotion Recognition using Self-Supervised Features

Pre-training via Denoising for Molecular Property Prediction

How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases

Generating Steganographic Text with LSTMs

GazeFS: Target-Centered Gaze-Trajectory Forecasting and Stabilization from Gaze-Head History

Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data

A survey on fuzzy fractional differential and optimal control nonlocal evolution equations