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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11,161 to 11,220 of 119,353

On Symmetric Losses for Learning from Corrupted Labels
Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
stat.MLcs.LGarXiv:1901.09314v22019
Efficient SCA Algorithms for Sparse Bayesian Learning
Esa Ollila, Majdoddin Esfandiari, Daniel P. Palomar +1
eess.SParXiv:2610.34888v12026
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems
Filipe Rodrigues, Francisco C. Pereira
stat.MLcs.LGcs.NEarXiv:1808.08798v12018
Quantifying Translation-Invariance in Convolutional Neural Networks
Eric Kauderer-Abrams
cs.CVarXiv:1801.01450v12017
What Outcome RL Buys: Finishing, Reliability, Rarely Reach
Shan Yang
cs.CLarXiv:2610.34894v12026
Privacy-Preserving Over-the-Air Federated Learning over Cell-Free Massive MIMO System with User-Centric Clustering
Manobendu Sarker, Soumaya Cherkaoui
cs.ITcs.SYeess.SYarXiv:2610.37424v12026
Graph World Models for Constrained Epidemic Policy Planning
Yiqi Su, Rashed Shelim, Lingyi Wang +2
cs.LGcs.AIarXiv:2609.35545v22026
Let the Neurons Die: Exploiting ReLU-Induced Model Degradation
Kexin Li, Wenjun Qiu, Joshua Abraham +2
cs.LGcs.AIarXiv:2609.35528v12026
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing
Joohong Lee, Sangwoo Seo, Yong Suk Choi
cs.CLarXiv:1901.08163v12019
Spontaneous Context Restoration: How Language Models Recover from Corrupted Inputs
Pranjal Garg, Jacob Beck
cs.CLcs.AIarXiv:2609.35475v12026
GLAD: Global-Local Adaptive Detector for Robust Speech Deepfake Detection
Zelin Zhao, Guanjie Huang, Danny Hin Kwok Tsang +1
cs.SDcs.AIarXiv:2609.35411v12026
Spectral Super-Resolution using Spatial-Spectral Residual Operator Networks
Seokhyun Chin
cs.CVcs.AIarXiv:2609.35410v12026
GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting
Joseph Natter, Long Vu, Yifan Zhang +3
cs.LGcs.AIcs.NEarXiv:2610.37598v12026
WorkFactory: Turning Professional Intents into Executable Work for Scalable Agent Training
Ziyang Zeng, Tingyang Chen, Jia Deng +10
cs.AIarXiv:2610.37161v12026
PailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search
Xiaohan Ye, Zihan Gong, Jingqian Zhao +9
cs.IRcs.AIarXiv:2610.36958v12026
Analog Computing revisited: A fully analog and minimalistic Damage Detector for Ultrasonic Testing enabling Material-Integrated Structural Health Monitoring
Stefan Bosse
cs.ARcs.AIarXiv:2609.35478v12026
Towards Corner Case Detection for Autonomous Driving
Jan-Aike Bolte, Andreas Bär, Daniel Lipinski +1
cs.CVarXiv:1902.09184v22019
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management
Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek
cs.ITcs.LGeess.SParXiv:1905.13378v12019
Super-resolution limit of the ESPRIT algorithm
Weilin Li, Wenjing Liao, Albert Fannjiang
cs.ITmath.ITarXiv:1905.03782v32019
Noise Steering: Exploiting Wake Steering and Acoustic Directivity for Noise-Constrained Wind Farm Control via Reinforcement Learning
Martín de Frutos, Baptiste Corban, Claire Bizon Monroc +4
cs.AIcs.SYeess.SYarXiv:2610.36888v12026
CRISP: Co-designing Pruning and Scheduling for Efficient MoE Inference on Edge Servers
Congwei Zhang, Youming Tao, Yifei Zou +6
cs.LGarXiv:2610.37442v12026
Accurate, reliable and fast robustness evaluation
Wieland Brendel, Jonas Rauber, Matthias Kümmerer +2
stat.MLcs.CRcs.CVarXiv:1907.01003v22019
Semantic Prefix Oracles for LLM Decoding: Contracts and Differential Validation
Paul Kronlund-Drouault
cs.PLcs.AIcs.CLarXiv:2609.35425v12026
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs
Zhiqiang Cai, Jingshuang Chen, Min Liu +1
cs.LGcs.NAmath.NAarXiv:1911.02109v32019
AwarenessBench: Assessing Cognitive Capabilities of Language Models
Xiaojian Li, Rongwu Xu, Tianyun Zhang +9
cs.CLcs.AIarXiv:2609.35409v12026
Preserving Separation Logic Specifications through Compilation
Carmine Abate, Kleio Liotati, František Farka +1
cs.PLarXiv:2610.37244v12026
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh +1
cs.LGcs.AIcs.CRarXiv:2009.06389v32020
DomeGS: Perceptually Consistent Background Completion for Unbounded 3D Gaussian Splatting in Virtual Reality
Anastasiya Pechko, Agata Szymańska, Piotr Borycki +4
cs.GRarXiv:2610.37172v12026
Aligning Institutional Power and Operational Ability
Andrea Marino, Giovanni Sileno, Thomas van Binsbergen +1
cs.AIcs.MAarXiv:2610.37342v12026
"Nothing to See Here'': Unintended Disclosure through Revision Traces of LLM Deliverables
Yage Zhang, Yukun Jiang, Yang Zhang
cs.CRcs.AIarXiv:2609.35408v12026
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
Kunjin Chen, Yu Zhang, Qin Wang +3
eess.SPcs.LGstat.MLarXiv:1911.07183v12019
Proposing Better Rollouts for On-Policy Distillation
Sirui Chen, Yunzhe Qi, Haobo Xu +4
cs.LGcs.AIarXiv:2610.36477v12026
Soft-Bubble grippers for robust and perceptive manipulation
Naveen Kuppuswamy, Alex Alspach, Avinash Uttamchandani +3
cs.ROarXiv:2004.03691v22020
Planarian: Managing Agent State with Statepoints
Jinnan Guo, Hao Mark Chen, Kapil Vaswani +2
cs.OScs.AIcs.CRarXiv:2609.35366v12026
Graph-Structured Referring Expression Reasoning in The Wild
Sibei Yang, Guanbin Li, Yizhou Yu
cs.CVcs.CLarXiv:2004.08814v12020
Too many clients spoil the logs: distributed parsing, aggregation techniques and metrics
André García Gómez, Viktor Beck, Max Landauer +4
cs.CRarXiv:2610.36946v12026
Learning Compositional Rules via Neural Program Synthesis
Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum +1
cs.AIcs.LGarXiv:2003.05562v22020
Do Coding Agents Reuse Existing Code or Reinvent the Wheel?
Dongsheng Ma, Sizhe Wang, Xinyi Huang +5
cs.SEcs.AIcs.CLarXiv:2609.35357v12026
d-OPD: Future-Aware On-Policy Distillation for Block Diffusion Language Models
Ruitao Liu, Qinghao Hu, Song Han
cs.LGcs.AIarXiv:2609.35362v12026
SecDMP: Provably Secure Data Memory-Dependent Prefetching (Extended Version)
Jens Sprengers, Marton Bognar, Lesly-Ann Daniel +1
cs.CRarXiv:2610.37454v12026
Drop the Details, Get the Gist: Dynamic Conceptual Representation for Video Recognition
Ryoya Yoshiyama, Bowen Wang, Yuta Nakashima
cs.CVarXiv:2610.36832v12026
When All Rollouts Fail: Policy-Compatible Joint Decoding for Hard-Problem Reasoning
Zehao Wang, Hanzhu Chen, Runquan Gui +2
cs.LGcs.AIarXiv:2610.36849v12026
Multi-Attractor GNNs: Set-Valued Expressivity Beyond Unique Equilibria
Jialin Liu
cs.LGcs.AIarXiv:2609.35274v12026
An Incremental Knowledge-Graph Learner Digital Twin for Evidence-Grounded Early Warning
Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge
cs.AIarXiv:2610.36820v12026
Reverse Sequential Proportional Approval Voting Rule: Proportionality and Approximation Guarantees
Georgios Papasotiropoulos
cs.GTcs.AIarXiv:2609.35331v12026
Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion
Flavio Schneider, Ojasv Kamal, Zhijing Jin +1
cs.CLcs.LGcs.SDarXiv:2301.11757v32023
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Zhaowei Zhu, Yiwen Song, Yang Liu
cs.LGcs.AIstat.MLarXiv:2102.05291v22021
eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion Models
Mansi, Nikhil Raghavan, Zixia Huang +4
cs.LGcs.AIcs.CVarXiv:2609.35269v12026
Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents
Tong Zhang, Zhou Liu, Yihao Liu +8
cs.LGcs.AIarXiv:2609.35319v12026
BenchMeUp: Building Software Engineering Benchmarks from Natural-Language Specifications
Islem Bouzenia, Michael Pradel
cs.SEarXiv:2610.37283v12026
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar, Huan Wang, Caiming Xiong +1
cs.LGcs.AImath.STarXiv:2302.07869v12023
WavePP: High-Throughput Pipeline Parallel LLM Prefill under Prefix Reuse
Aaryam Sharma
cs.DCcs.AIarXiv:2609.35263v12026
Top-KAST: Top-K Always Sparse Training
Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae +2
cs.LGstat.MLarXiv:2106.03517v12021
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
Haonan Duan, Adam Dziedzic, Nicolas Papernot +1
cs.LGcs.CLcs.CRarXiv:2305.15594v12023
ETAMem: Decoupling and Aligning Heterogeneous Memory for Long-Term Conversational Agents
Xinying Qian, Ying Zhang, Yu Zhao +3
cs.CLarXiv:2610.37443v12026
Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
Prakhar Kaushik, Soumava Paul, Alan Yuille
cs.CVcs.AIcs.GRarXiv:2610.37668v12026
Beyond the Estimate: Wiener-Informed Decoding for Easier Training of Pixel-Space Flow Models
Ziqiao Wang, Yang You
cs.CVcs.AIarXiv:2610.36192v12026
Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management
Iordanis Koutsopoulos, Leandros Tassiulas
cs.NIcs.SYeess.SYarXiv:1008.3614v12010
CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
Md Shibly Sadique, Md Fayaz Bin Hossen, Michael L. Evans +4
cs.CVcs.AIarXiv:2609.35195v12026
Tokens of Motion: Primitive Motion Learning for Human-Humanoid Skill Transfer
Hanwen Ren, Meng Zheng, Wenzhe Cui +5
cs.ROarXiv:2610.37330v12026

Every paper with a summary

On Symmetric Losses for Learning from Corrupted Labels

Efficient SCA Algorithms for Sparse Bayesian Learning

Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems

Quantifying Translation-Invariance in Convolutional Neural Networks

What Outcome RL Buys: Finishing, Reliability, Rarely Reach

Privacy-Preserving Over-the-Air Federated Learning over Cell-Free Massive MIMO System with User-Centric Clustering

Graph World Models for Constrained Epidemic Policy Planning

Let the Neurons Die: Exploiting ReLU-Induced Model Degradation

Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

Spontaneous Context Restoration: How Language Models Recover from Corrupted Inputs

GLAD: Global-Local Adaptive Detector for Robust Speech Deepfake Detection

Spectral Super-Resolution using Spatial-Spectral Residual Operator Networks

GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting

WorkFactory: Turning Professional Intents into Executable Work for Scalable Agent Training

PailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search

Analog Computing revisited: A fully analog and minimalistic Damage Detector for Ultrasonic Testing enabling Material-Integrated Structural Health Monitoring

Towards Corner Case Detection for Autonomous Driving

Deep Learning for Distributed Optimization: Applications to Wireless Resource Management

Super-resolution limit of the ESPRIT algorithm

Noise Steering: Exploiting Wake Steering and Acoustic Directivity for Noise-Constrained Wind Farm Control via Reinforcement Learning

CRISP: Co-designing Pruning and Scheduling for Efficient MoE Inference on Edge Servers

Accurate, reliable and fast robustness evaluation

Semantic Prefix Oracles for LLM Decoding: Contracts and Differential Validation

Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs

AwarenessBench: Assessing Cognitive Capabilities of Language Models

Preserving Separation Logic Specifications through Compilation

Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy

DomeGS: Perceptually Consistent Background Completion for Unbounded 3D Gaussian Splatting in Virtual Reality

Aligning Institutional Power and Operational Ability

"Nothing to See Here'': Unintended Disclosure through Revision Traces of LLM Deliverables

Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring

Proposing Better Rollouts for On-Policy Distillation

Soft-Bubble grippers for robust and perceptive manipulation

Planarian: Managing Agent State with Statepoints

Graph-Structured Referring Expression Reasoning in The Wild

Too many clients spoil the logs: distributed parsing, aggregation techniques and metrics

Learning Compositional Rules via Neural Program Synthesis

Do Coding Agents Reuse Existing Code or Reinvent the Wheel?

d-OPD: Future-Aware On-Policy Distillation for Block Diffusion Language Models

SecDMP: Provably Secure Data Memory-Dependent Prefetching (Extended Version)

Drop the Details, Get the Gist: Dynamic Conceptual Representation for Video Recognition

When All Rollouts Fail: Policy-Compatible Joint Decoding for Hard-Problem Reasoning

Multi-Attractor GNNs: Set-Valued Expressivity Beyond Unique Equilibria

An Incremental Knowledge-Graph Learner Digital Twin for Evidence-Grounded Early Warning

Reverse Sequential Proportional Approval Voting Rule: Proportionality and Approximation Guarantees

Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion

Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels

eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion Models

Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents

BenchMeUp: Building Software Engineering Benchmarks from Natural-Language Specifications

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

WavePP: High-Throughput Pipeline Parallel LLM Prefill under Prefix Reuse

Top-KAST: Top-K Always Sparse Training

Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models

ETAMem: Decoupling and Aligning Heterogeneous Memory for Long-Term Conversational Agents

Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction

Beyond the Estimate: Wiener-Informed Decoding for Easier Training of Pixel-Space Flow Models

Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management

CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation

Tokens of Motion: Primitive Motion Learning for Human-Humanoid Skill Transfer