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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55,801 to 55,860 of 61,114

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang, Yidong Wang, Wenxin Hou +4
cs.LGcs.CVarXiv:2110.08263v32021
End-to-End Incremental Learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil +2
cs.CVarXiv:1807.09536v22018
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli +1
cs.LGcs.DCmath.OCarXiv:1802.04434v32018
Simultaneous Detection and Segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick +1
cs.CVarXiv:1407.1808v12014
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press, Noah A. Smith, Mike Lewis
cs.CLarXiv:2108.12409v22021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas +5
cs.CVarXiv:2012.07177v22020
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski +2
cs.CLarXiv:1712.09405v12017
The Zwicky Transient Facility: System Overview, Performance, and First Results
Eric C. Bellm, Shrinivas R. Kulkarni, Matthew J. Graham +113
astro-ph.IMarXiv:1902.01932v12019
Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang +2
cs.CVarXiv:1711.11575v22017
From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta, Forrest Iandola +9
cs.CVcs.CLarXiv:1411.4952v32014
Learning to Prompt for Continual Learning
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee +7
cs.LGcs.CVarXiv:2112.08654v22021
Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou, Na Mou, Ying Fan +5
stat.MLcs.IRcs.LGarXiv:1809.03672v52018
Social networks that matter: Twitter under the microscope
Bernardo A. Huberman, Daniel M. Romero, Fang Wu
cs.CYphysics.soc-pharXiv:0812.1045v12008
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen +1
cs.CLarXiv:1901.11504v22019
Understanding the limits of LoRaWAN
Ferran Adelantado, Xavier Vilajosana, Pere Tuset-Peiro +3
cs.NIarXiv:1607.08011v22016
A Survey on Gas Sensing Technology
Xiao Liu, Sitian Cheng, Hong Liu +3
physics.ins-detarXiv:1305.7427v12013
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang, Yang song, Thomas Leung +5
cs.CVarXiv:1404.4661v12014
Fast Byte Latent Transformer
Julie Kallini, Artidoro Pagnoni, Tomasz Limisiewicz +5
cs.CLcs.AIcs.LGarXiv:2605.08044v12026
Going deeper with Image Transformers
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles +2
cs.CVarXiv:2103.17239v22021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
Few-Shot Learning with Graph Neural Networks
Victor Garcia, Joan Bruna
stat.MLcs.LGarXiv:1711.04043v32017
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani +3
cs.CVarXiv:1906.05909v12019
code2vec: Learning Distributed Representations of Code
Uri Alon, Meital Zilberstein, Omer Levy +1
cs.LGcs.AIcs.PLarXiv:1803.09473v52018
A tale of two databases: The use of Web of Science and Scopus in academic papers
Junwen Zhu, Weishu Liu
cs.DLarXiv:2002.02608v12020
A quantile-based g-computation approach to addressing the effects of exposure mixtures
Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien +3
stat.MEarXiv:1902.04200v42019
Do not copy and paste! Rewriting strategies for code retrieval
Andrea Gurioli, Federico Pennino, Maurizio Gabbrielli
cs.SEcs.AIarXiv:2605.08299v12026
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li +1
cs.CLcs.LGcs.NEarXiv:1503.03244v12015
Federation of Experts: Communication Efficient Distributed Inference for Large Language Models
Muhammad Shahir Abdurrahman, Chun Deng, Azalia Mirhoseini +1
cs.LGarXiv:2605.06206v12026
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
cs.CLcs.LGarXiv:1904.05342v32019
SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
Zhe Liu, Zonghao Ying, Wenxin Zhang +5
cs.CRcs.AIarXiv:2605.05704v32026
LIFT: Learned Invariant Feature Transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit +1
cs.CVarXiv:1603.09114v22016
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon +1
eess.IVcs.CVcs.LGarXiv:2201.11793v32022
Distribution-Free Predictive Inference For Regression
Jing Lei, Max G'Sell, Alessandro Rinaldo +2
stat.MEmath.STstat.MLarXiv:1604.04173v22016
Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +3
cs.LGcs.AIcs.CLarXiv:2605.07924v12026
Long Context Pre-Training with Lighthouse Attention
Bowen Peng, Subho Ghosh, Jeffrey Quesnelle
cs.CLarXiv:2605.06554v12026
Importance Weighted Autoencoders
Yuri Burda, Roger Grosse, Ruslan Salakhutdinov
cs.LGstat.MLarXiv:1509.00519v42015
Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
Jiacheng Chen, Songze Li, Han Fu +5
cs.CVarXiv:2605.07940v12026
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal +1
cs.LGcs.AIcs.CRarXiv:1811.12470v42018
Recurrent Neural Network for Text Classification with Multi-Task Learning
Pengfei Liu, Xipeng Qiu, Xuanjing Huang
cs.CLarXiv:1605.05101v12016
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07067v12019
Who Prices Cognitive Labor in the Age of Agents? Compute-Anchored Wages
Siqi Zhu
cs.AIcs.CYarXiv:2605.05558v22026
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
Weihao Yu, Zhengyuan Yang, Linjie Li +5
cs.AIcs.CLcs.CVarXiv:2308.02490v42023
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
Hao Wang, Yiqun Sun, Pengfei Wei +2
cs.CVcs.AIcs.CLarXiv:2605.07447v12026
Transformer Tracking
Xin Chen, Bin Yan, Jiawen Zhu +3
cs.CVarXiv:2103.15436v12021
DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models
Shuai Wang, Yu Yin, Shengyao Zhuang +2
cs.IRcs.CLarXiv:2605.07210v22026
BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning
Shaokai Ye, Vasileios Saveris, Yihao Qian +3
cs.CVcs.AIarXiv:2605.07394v12026
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
cs.CRcs.LGarXiv:1805.12185v12018
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Martin Simonovsky, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1704.02901v32017
Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana, Jianping Shi +4
cs.CVarXiv:1803.08904v12018
FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
Zhengding Hu, Mingge Lu, Zhen Wang +8
cs.LGcs.DCarXiv:2605.08520v12026
ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost
Justin S. Smith, Olexandr Isayev, Adrian E. Roitberg
physics.chem-pharXiv:1610.08935v42016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel +29
cs.CVarXiv:1612.08012v42016
Implicit Preference Alignment for Human Image Animation
Yuanzhi Wang, Xuhua Ren, Jiaxiang Cheng +5
cs.CVcs.AIarXiv:2605.07545v12026
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang, Longyin Wen, Xiao Bian +2
cs.CVarXiv:1711.06897v32017
Diffusion-Convolutional Neural Networks
James Atwood, Don Towsley
cs.LGarXiv:1511.02136v62015
Optimal Transport for Domain Adaptation
Nicolas Courty, Rémi Flamary, Devis Tuia +1
cs.LGarXiv:1507.00504v22015
MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching
Salim Khazem, Ibrahim Mohamed Serouis, Zakaria Ezzahed
cs.CVcs.AIcs.LGarXiv:2605.08557v12026
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez +1
cs.LGcs.CEarXiv:2010.03409v42020
Contrastive Representation Distillation
Yonglong Tian, Dilip Krishnan, Phillip Isola
cs.LGcs.CVstat.MLarXiv:1910.10699v32019
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
Kenneth Li, Oam Patel, Fernanda Viégas +2
cs.LGcs.AIcs.CLarXiv:2306.03341v62023

Every paper with a summary

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

End-to-End Incremental Learning

signSGD: Compressed Optimisation for Non-Convex Problems

Simultaneous Detection and Segmentation

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Advances in Pre-Training Distributed Word Representations

The Zwicky Transient Facility: System Overview, Performance, and First Results

Relation Networks for Object Detection

From Captions to Visual Concepts and Back

Learning to Prompt for Continual Learning

Deep Interest Evolution Network for Click-Through Rate Prediction

Social networks that matter: Twitter under the microscope

Multi-Task Deep Neural Networks for Natural Language Understanding

Understanding the limits of LoRaWAN

A Survey on Gas Sensing Technology

Learning Fine-grained Image Similarity with Deep Ranking

Fast Byte Latent Transformer

Going deeper with Image Transformers

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Few-Shot Learning with Graph Neural Networks

Stand-Alone Self-Attention in Vision Models

code2vec: Learning Distributed Representations of Code

A tale of two databases: The use of Web of Science and Scopus in academic papers

A quantile-based g-computation approach to addressing the effects of exposure mixtures

Do not copy and paste! Rewriting strategies for code retrieval

Convolutional Neural Network Architectures for Matching Natural Language Sentences

Federation of Experts: Communication Efficient Distributed Inference for Large Language Models

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for LLM Agent Safety

LIFT: Learned Invariant Feature Transform

Denoising Diffusion Restoration Models

Distribution-Free Predictive Inference For Regression

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

Long Context Pre-Training with Lighthouse Attention

Importance Weighted Autoencoders

Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision

Analyzing Federated Learning through an Adversarial Lens

Recurrent Neural Network for Text Classification with Multi-Task Learning

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Who Prices Cognitive Labor in the Age of Agents? Compute-Anchored Wages

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs

Transformer Tracking

DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models

BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Context Encoding for Semantic Segmentation

FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration

ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

Implicit Preference Alignment for Human Image Animation

Single-Shot Refinement Neural Network for Object Detection

Diffusion-Convolutional Neural Networks

Optimal Transport for Domain Adaptation

MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching

Learning Mesh-Based Simulation with Graph Networks

Contrastive Representation Distillation

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model