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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48,661 to 48,720 of 61,351

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
Angelia Nedić, Alex Olshevsky, Michael G. Rabbat
math.OCcs.DCcs.MAarXiv:1709.08765v22017
AI Agents Push Humans Out of the Loop
Margaret Mitchell, Avijit Ghosh, Samir Passi
cs.AIcs.HCarXiv:2608.23642v12026
Optimal Beamforming for Two-Way Multi-Antenna Relay Channel with Analogue Network Coding
Rui Zhang, Ying-Chang Liang, Chin Choy Chai +1
cs.ITarXiv:0808.0075v42008
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
Trevor Hastie, Rahul Mazumder, Jason Lee +1
stat.MEstat.MLarXiv:1410.2596v12014
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert +6
cs.LGstat.MLarXiv:1808.04730v32018
Linearly Parameterized Bandits
Paat Rusmevichientong, John N. Tsitsiklis
cs.LGarXiv:0812.3465v22008
Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system
Peter Ashwin, Sebastian Wieczorek, Renato Vitolo +1
math.DSnlin.AOnlin.CDarXiv:1103.0169v52011
Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning
Hang Chen, Jiaying Zhu, Wenya Wang
cs.LGcs.AIcs.CLarXiv:2608.24482v12026
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham +6
cs.CReess.SParXiv:2104.01776v12021
Activation-Weighted Seeded Residual Coding for Low-Bit LLM Weight Repair
Zehao Liu, Chuangchuang Fang, Yang Ren
cs.LGcs.CLarXiv:2608.23144v12026
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Jingya Wang, Xiatian Zhu, Shaogang Gong +1
cs.CVarXiv:1803.09786v12018
Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems
Wonung Kim, Hyunmin Choi, Minsu Kim +3
cs.ARcs.AIarXiv:2608.24650v12026
CRISP: Calibration-Aware Visual State Space Duality for Remote Sensing Semantic Segmentation
Kangning Wang, Haopeng Zhang, Zhiguo Jiang
cs.CVarXiv:2608.23746v12026
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
cs.LGcs.AIcs.CVarXiv:1711.00848v32017
ADE: Agentic Data Evolution Framework for Human-Centered Objectives
Yang Yu, Yilin Jiang, Zexuan Fei +6
cs.CLarXiv:2608.23719v12026
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir +1
cs.CVarXiv:1902.06148v32019
Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation
Leila Khaertdinova, Anna Anikina, Claudia Mello-Thoms +1
cs.CVcs.AIcs.LGarXiv:2608.23836v12026
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li +3
cs.CVarXiv:2005.04757v22020
Order-Embeddings of Images and Language
Ivan Vendrov, Ryan Kiros, Sanja Fidler +1
cs.LGcs.CLcs.CVarXiv:1511.06361v62015
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Dailan He, Ziming Yang, Weikun Peng +3
cs.CVeess.IVarXiv:2203.10886v22022
Universal Fragment Descriptors for Predicting Electronic Properties of Inorganic Crystals
Olexandr Isayev, Corey Oses, Cormac Toher +3
cond-mat.mtrl-sciarXiv:1608.04782v32016
FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
Jacob Idoko, Siddhartha Paudel, Mariana Bento +2
cs.AIarXiv:2608.23643v12026
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin, Jason Eisner
cs.CLcs.LGarXiv:2104.06599v12021
Action-Aligned Retrieval with Pairwise Multimodal Reranking for Text-Based Person Anomaly Search
Thanh-Khoi Nguyen, Thanh-Nhan Vo, Trong-Thuan Nguyen +1
cs.CVarXiv:2608.23503v12026
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan McAllister, Roberto Calandra +2
cs.LGcs.AIstat.MLarXiv:2006.10742v22020
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou +3
cs.CRcs.AIcs.NIarXiv:2202.06335v22022
PsychJail: Exploring Psychological Jailbreaks via Multi-Turn Persuasion of LLM Policies
Zeyu Feng, Qingyu Wu, Yuzhe Luo +1
cs.AIarXiv:2608.23028v12026
Incorporating Convolution Designs into Visual Transformers
Kun Yuan, Shaopeng Guo, Ziwei Liu +3
cs.CVarXiv:2103.11816v22021
An Integrated-Photonics Optical-Frequency Synthesizer
Daryl T. Spencer, Tara Drake, Travis C. Briles +24
physics.app-phphysics.opticsarXiv:1708.05228v12017
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Minghao Li, Yingxiu Zhao, Bowen Yu +6
cs.CLcs.AIarXiv:2304.08244v22023
Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst +3
cs.LGcs.AIcs.CVarXiv:1904.07451v22019
Deep learning for neuroimaging: a validation study
Sergey M. Plis, Devon R. Hjelm, Ruslan Salakhutdinov +1
cs.NEcs.LGstat.MLarXiv:1312.5847v32013
Learning from Synthetic Data for Crowd Counting in the Wild
Qi Wang, Junyu Gao, Wei Lin +1
cs.CVarXiv:1903.03303v12019
SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems
Xiang Wang, Shigang Quan, Tingzhen Chang +5
cs.AIarXiv:2608.22979v22026
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
cs.LGstat.MLarXiv:1805.10769v22018
Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision
Yong-Hoon Choi, Youngjin Cho
cs.IRcs.LGarXiv:2608.23221v12026
Chain-of-Experience for Continual LLM Improvement
Haoqin Tu, Yunhao Fang, Yizhong Wang +2
cs.CLarXiv:2608.18027v12026
Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements
Zhi Zheng, Rongsheng Chen, Yunpeng Ba +3
cs.LGarXiv:2608.17310v12026
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve
Emilien Dupont, Marvin Eisenberger, Borislav Kozlovskii +7
cs.DScs.AIcs.CCarXiv:2608.16884v12026
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Matteo Farina, Vishaal Udandarao, Thao Nguyen +33
cs.CVcs.CLcs.LGarXiv:2606.28551v32026
Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM Serving
Hyungmin Kim, Minsoo Kim, Hongseok Kim +1
cs.LGcs.SEarXiv:2606.06302v22026
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Nianyi Lin, Jiajie Zhang, Lei Hou +1
cs.CLcs.AIcs.LGarXiv:2605.31584v12026
Segment Anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi +9
cs.CVcs.AIcs.LGarXiv:2304.02643v12023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra, Julien Mairal +3
cs.CVarXiv:2006.09882v52020
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan, Shay B. Cohen, Mirella Lapata
cs.CLarXiv:1808.08745v12018
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov +2
cs.LGcs.AIcs.CVarXiv:1803.05407v32018
Structure-measure: A New Way to Evaluate Foreground Maps
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu +2
cs.CVarXiv:1708.00786v12017
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros +1
cs.LGcs.AIcs.CVarXiv:1705.05363v12017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi, Hao Su, Kaichun Mo +1
cs.CVarXiv:1612.00593v22016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue +2
cs.CVcs.LGarXiv:1610.07584v22016
Context Encoders: Feature Learning by Inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue +2
cs.CVcs.AIcs.GRarXiv:1604.07379v22016
A Random Forest Guided Tour
Gérard Biau, Erwan Scornet
math.STstat.MLarXiv:1511.05741v12015
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes +5
cs.CVarXiv:1502.03240v32015
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
cs.CVcs.CLcs.IRarXiv:1411.5726v22014
Sailfish: Alignment-free Isoform Quantification from RNA-seq Reads using Lightweight Algorithms
Rob Patro, Stephen M. Mount, Carl Kingsford
q-bio.GNcs.CEarXiv:1308.3700v12013
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio
Max Bain, Jaesung Huh, Tengda Han +1
cs.SDeess.ASarXiv:2303.00747v22023
End-to-End Dense Video Captioning with Masked Transformer
Luowei Zhou, Yingbo Zhou, Jason J. Corso +2
cs.CVarXiv:1804.00819v12018
A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments
Jing Huang, Jihong Zhang, Hua-Hua Chang
cs.AIarXiv:2608.24825v12026
Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model
Christian Kokail, Christine Maier, Rick van Bijnen +8
quant-phcond-mat.quant-gasarXiv:1810.03421v22018
Parameter-Level Attribution of Symmetry in Trained Networks Though Parameter-Wise Functional Sensitivity
Alan Muriithi, Vedanta Thapar, Torben Berndt
cs.LGarXiv:2608.24700v12026

Every paper with a summary

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

AI Agents Push Humans Out of the Loop

Optimal Beamforming for Two-Way Multi-Antenna Relay Channel with Analogue Network Coding

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Analyzing Inverse Problems with Invertible Neural Networks

Linearly Parameterized Bandits

Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system

Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Activation-Weighted Seeded Residual Coding for Low-Bit LLM Weight Repair

Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification

Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems

CRISP: Calibration-Aware Visual State Space Duality for Remote Sensing Semantic Segmentation

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

ADE: Agentic Data Evolution Framework for Human-Centered Objectives

BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding

Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation

A Simple Semi-Supervised Learning Framework for Object Detection

Order-Embeddings of Images and Language

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Universal Fragment Descriptors for Predicting Electronic Properties of Inorganic Crystals

FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Action-Aligned Retrieval with Pairwise Multimodal Reranking for Text-Based Person Anomaly Search

Learning Invariant Representations for Reinforcement Learning without Reconstruction

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

PsychJail: Exploring Psychological Jailbreaks via Multi-Turn Persuasion of LLM Policies

Incorporating Convolution Designs into Visual Transformers

An Integrated-Photonics Optical-Frequency Synthesizer

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Counterfactual Visual Explanations

Deep learning for neuroimaging: a validation study

Learning from Synthetic Data for Crowd Counting in the Wild

SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems

Universality of Deep Convolutional Neural Networks

Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision

Chain-of-Experience for Continual LLM Improvement

Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements

Improving the matrix multiplication exponent with modern optimization and AlphaEvolve

DataComp-VLM: Improved Open Datasets for Vision-Language Models

Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM Serving

LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards

Segment Anything

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Averaging Weights Leads to Wider Optima and Better Generalization

Structure-measure: A New Way to Evaluate Foreground Maps

Curiosity-driven Exploration by Self-supervised Prediction

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Context Encoders: Feature Learning by Inpainting

A Random Forest Guided Tour

Conditional Random Fields as Recurrent Neural Networks

CIDEr: Consensus-based Image Description Evaluation

Sailfish: Alignment-free Isoform Quantification from RNA-seq Reads using Lightweight Algorithms

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

End-to-End Dense Video Captioning with Masked Transformer

A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments

Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model

Parameter-Level Attribution of Symmetry in Trained Networks Though Parameter-Wise Functional Sensitivity