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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10,441 to 10,500 of 61,229

RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
cs.LGmath.OCstat.MLarXiv:1401.7625v12014
Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation
Hasan Alkhder, Mohammad Abboush, Igor Tchappi +2
cs.CLcs.AIarXiv:2609.04048v12026
Codimensional Incremental Potential Contact
Minchen Li, Danny M. Kaufman, Chenfanfu Jiang
cs.GRarXiv:2012.04457v32020
Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach
Giacomo Rizzieri, Saif-Ur-Rehman, Jörg F. Unger +1
cs.CEcs.AIcs.LGarXiv:2609.04028v12026
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
Jieshan Chen, Mulong Xie, Zhenchang Xing +4
cs.CVcs.HCcs.LGarXiv:2008.05132v22020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Ren Wang, Gaoyuan Zhang, Sijia Liu +3
cs.LGcs.CRstat.MLarXiv:2007.15802v12020
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
Anindo Saha, Matin Hosseinzadeh, Henkjan Huisman
eess.IVcs.CVarXiv:2101.03244v102021
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
Mengke Li, Yiu-ming Cheung, Yang Lu
cs.CVarXiv:2305.11733v12023
Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes
Revathy Venkataramanan, Aditya Luthra, Venkatesan Nadimuthu +1
cs.CLcs.AIarXiv:2609.03967v12026
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison +2
cs.LGcs.AIcs.CLarXiv:2408.10075v12024
Complementary Patch for Weakly Supervised Semantic Segmentation
Fei Zhang, Chaochen Gu, Chenyue Zhang +1
cs.CVarXiv:2108.03852v12021
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images
Runmin Cong, Yumo Zhang, Leyuan Fang +3
cs.CVarXiv:2110.14223v22021
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
Tianyu Chen, Hangbo Bao, Shaohan Huang +6
cs.CRcs.CLarXiv:2206.00216v22022
A Non-Formulable Theorem: A Fundamental Limit of Finite Syntactic Systems and Its Consequences for Security and AI
Fabio F. G. Buono
cs.CRcs.AIcs.LOarXiv:2609.04086v12026
Transformation-Equivariant 3D Object Detection for Autonomous Driving
Hai Wu, Chenglu Wen, Wei Li +3
cs.CVarXiv:2211.11962v32022
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Keheng Wang, Feiyu Duan, Sirui Wang +5
cs.CLcs.AIarXiv:2308.13259v22023
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang, Eric Zelikman, Gabriel Poesia +3
cs.LGcs.AIcs.CLarXiv:2309.05660v22023
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
Junchao Wu, Shu Yang, Runzhe Zhan +3
cs.CLcs.AIarXiv:2310.14724v32023
PatchBench: Evaluating AI Agents for Vulnerability Patching
Chihao Shen, Jiacheng Li, Aastha Mahajan +3
cs.CRcs.AIcs.SEarXiv:2609.04075v12026
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Dávid Pál, Barnabás Póczos, Csaba Szepesvári
stat.MLcs.AIarXiv:1003.1954v22010
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper Chwialkowski, Aaditya Ramdas, Dino Sejdinovic +1
stat.MLarXiv:1506.04725v12015
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventós, Mansheej Paul, Feng Chen +1
cs.LGcs.AIcs.CLarXiv:2306.15063v22023
Resiliency of Deep Neural Networks under Quantization
Wonyong Sung, Sungho Shin, Kyuyeon Hwang
cs.LGcs.NEarXiv:1511.06488v32015
Subspace Inference Enables Efficient Active Reward Learning from Preferences
Yutai Zhou, Erdem Bıyık
cs.LGcs.AIcs.ROarXiv:2609.04066v12026
Deep Attention Recurrent Q-Network
Ivan Sorokin, Alexey Seleznev, Mikhail Pavlov +2
cs.LGarXiv:1512.01693v12015
N-ary Relation Extraction using Graph State LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang +1
cs.CLarXiv:1808.09101v12018
Conservative Safety Critics for Exploration
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart +3
cs.LGcs.AIcs.ROarXiv:2010.14497v22020
KoDF: A Large-scale Korean DeepFake Detection Dataset
Patrick Kwon, Jaeseong You, Gyuhyeon Nam +2
cs.CVcs.LGarXiv:2103.10094v22021
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain, Albert Gural, Michael Wu +1
cs.CVcs.AIcs.LGarXiv:1903.08066v32019
Serializable Snapshot Isolation in PostgreSQL
Dan R. K. Ports, Kevin Grittner
cs.DBarXiv:1208.4179v12012
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
Chi Li, Jin Bai, Gregory D. Hager
cs.CVarXiv:1803.08103v22018
Semantic information, autonomous agency, and nonequilibrium statistical physics
Artemy Kolchinsky, David H. Wolpert
cond-mat.stat-mecharXiv:1806.08053v32018
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
Chenguang Zhu, Yang Liu, Jie Mei +1
cs.CLarXiv:2103.06410v22021
Causal Attention for Unbiased Visual Recognition
Tan Wang, Chang Zhou, Qianru Sun +1
cs.CVarXiv:2108.08782v12021
RoomNet: End-to-End Room Layout Estimation
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz +1
cs.CVarXiv:1703.06241v22017
The Blind Spot in 2D Infants' Pose Estimation:Robust Learning from Noisy Annotations
Emanuele Cardinale, Marco Proietti, Alessandro Cacciatore +3
cs.CVcs.AIarXiv:2609.04009v12026
Catalogue Photography as a Cold Start: Toward Deployable Carbide Burr Recognition
Abilash Philip Madavath, Chandra Yuvesh Aubeeluck, Augustin Raju +3
cs.CVcs.AIcs.ROarXiv:2609.03995v12026
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai +2
cs.LGarXiv:2211.16750v22022
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Zhenguang Liu, Peng Qian, Xiang Wang +3
cs.LGcs.PLarXiv:2106.09282v12021
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Qintong Li, Leyang Cui, Xueliang Zhao +2
cs.CLarXiv:2402.19255v22024
Graph Pattern Matching in GQL and SQL/PGQ
Alin Deutsch, Nadime Francis, Alastair Green +15
cs.DBarXiv:2112.06217v12021
Random Access Preamble Design and Detection for 3GPP Narrowband IoT Systems
Xingqin Lin, Ansuman Adhikary, Y. -P. Eric Wang
cs.NIcs.ITarXiv:1605.05384v12016
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

Every paper with a summary

RES: Regularized Stochastic BFGS Algorithm

Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation

Codimensional Incremental Potential Contact

Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach

Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment

Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Complementary Patch for Weakly Supervised Semantic Segmentation

RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

A Non-Formulable Theorem: A Fundamental Limit of Finite Syntactic Systems and Its Consequences for Security and AI

Transformation-Equivariant 3D Object Detection for Autonomous Driving

Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Hypothesis Search: Inductive Reasoning with Language Models

A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions

PatchBench: Evaluating AI Agents for Vulnerability Patching

Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs

Fast Two-Sample Testing with Analytic Representations of Probability Measures

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Resiliency of Deep Neural Networks under Quantization

Subspace Inference Enables Efficient Active Reward Learning from Preferences

Deep Attention Recurrent Q-Network

N-ary Relation Extraction using Graph State LSTM

Conservative Safety Critics for Exploration

KoDF: A Large-scale Korean DeepFake Detection Dataset

Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

Serializable Snapshot Isolation in PostgreSQL

A Unified Framework for Multi-View Multi-Class Object Pose Estimation

Semantic information, autonomous agency, and nonequilibrium statistical physics

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization

Causal Attention for Unbiased Visual Recognition

RoomNet: End-to-End Room Layout Estimation

The Blind Spot in 2D Infants' Pose Estimation:Robust Learning from Noisy Annotations

Catalogue Photography as a Cold Start: Toward Deployable Carbide Burr Recognition

Score-based Continuous-time Discrete Diffusion Models

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Graph Pattern Matching in GQL and SQL/PGQ

Random Access Preamble Design and Detection for 3GPP Narrowband IoT Systems

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