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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101,641 to 101,700 of 101,885

Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes
Chenxi Tao, Seung-Kyum Choi
cs.CVcs.AIcs.ROarXiv:2605.30581v22026
Deep Reinforcement Learning: An Overview
Yuxi Li
cs.LGarXiv:1701.07274v62017
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy, Sanjay Chawla
cs.LGstat.MLarXiv:1901.03407v22019
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont +6
cs.CVcs.CLcs.LGarXiv:2111.02114v12021
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal
cs.DCarXiv:0808.3558v12008
Recent Advances in Physical Reservoir Computing: A Review
Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux +6
cs.ETarXiv:1808.04962v32018
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang, Xin Li, Lidong Bing
cs.CLcs.CVcs.SDarXiv:2306.02858v42023
Understanding Convolution for Semantic Segmentation
Panqu Wang, Pengfei Chen, Ye Yuan +4
cs.CVarXiv:1702.08502v32017
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07069v12019
GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis
Haochen Zhang, Gengwei Zhang, Laura Yao +2
cs.CLcs.LGarXiv:2608.13741v12026
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos, Tzani Bessiana
eess.IVcs.CVcs.LGarXiv:2003.11617v12020
Challenges in Representation Learning: A report on three machine learning contests
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25
stat.MLcs.LGarXiv:1307.0414v12013
The Rise of Social Bots
Emilio Ferrara, Onur Varol, Clayton Davis +2
cs.SIcs.CYphysics.data-anarXiv:1407.5225v42014
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
Prateek Kumar Sikdar
cs.CLcs.AIcs.LGarXiv:2606.01838v12026
AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents
Yiheng Shu, Bernal Jiménez Gutiérrez, Saisri Padmaja Jonnalagedda +3
cs.AIcs.CLarXiv:2606.02461v22026
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
Georgios Tsoumplekas, Stella Bounareli, Vasileios Argyriou
cs.CVcs.LGarXiv:2606.03792v12026
Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang +2
cs.LGstat.MLarXiv:1809.09401v32018
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
Rahul Dey, Fathi M. Salem
cs.NEstat.MLarXiv:1701.05923v12017
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao +2
cs.CVarXiv:1912.02424v42019
Learning Face Representation from Scratch
Dong Yi, Zhen Lei, Shengcai Liao +1
cs.CVarXiv:1411.7923v12014
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li, Gang Wan, Gong Cheng +2
cs.CVarXiv:1909.00133v22019
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gomez +5
cs.NEcs.LGarXiv:1606.04474v22016
European Union regulations on algorithmic decision-making and a "right to explanation"
Bryce Goodman, Seth Flaxman
stat.MLcs.CYcs.LGarXiv:1606.08813v32016
Robots Need More than VLA and World Models
Elis Karcini, Faisal Mehrban, Quang Nguyen +6
cs.ROarXiv:2606.06556v12026
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
cs.CVarXiv:2102.02808v22021
A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4
cs.CLcs.AIcs.LGarXiv:1703.03130v12017
The FF Planning System: Fast Plan Generation Through Heuristic Search
J. Hoffmann, B. Nebel
cs.AIarXiv:1106.0675v12011
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang +2
cs.CLcs.AIcs.LGarXiv:2310.11511v12023
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
cs.CVarXiv:1612.02177v22016
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim +1
cs.AIcs.CVcs.LGarXiv:1705.08690v32017
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben +8
cs.AIcs.LGstat.MLarXiv:1710.03740v32017
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Zequn Xie, Junjie Wang, Dan Yang +4
cs.LGcs.AIarXiv:2606.07074v12026
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu, Bin Xiao, Noel Codella +4
cs.CVarXiv:2103.15808v12021
Firefly Algorithm, Stochastic Test Functions and Design Optimisation
Xin-She Yang
math.OCarXiv:1003.1409v12010
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky +2
cs.LGcs.CVstat.MLarXiv:2006.10029v22020
Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson, Kelly Davis +7
cs.CLcs.LGarXiv:1912.06670v22019
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang +1
cs.LGcs.AIarXiv:1609.05473v62016
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
cs.CLcs.AIcs.LGarXiv:1811.00937v22018
The Security of Practical Quantum Key Distribution
Valerio Scarani, Helle Bechmann-Pasquinucci, Nicolas J. Cerf +3
quant-pharXiv:0802.4155v32008
Road Extraction by Deep Residual U-Net
Zhengxin Zhang, Qingjie Liu, Yunhong Wang
cs.CVarXiv:1711.10684v12017
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu, Han Hu, Stephen Lin +1
cs.CVarXiv:1811.11168v22018
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Ari Seff, Yinda Zhang +3
cs.CVarXiv:1506.03365v32015
Albumentations: fast and flexible image augmentations
Alexander Buslaev, Alex Parinov, Eugene Khvedchenya +2
cs.CVarXiv:1809.06839v12018
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
eess.IVcs.CVcs.LGarXiv:2004.08790v12020
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre, Wenqi Li, Tom Vercauteren +2
cs.CVarXiv:1707.03237v32017
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1
cs.LGcs.CVstat.MLarXiv:1911.04252v42019
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, Yongduo Sui +3
cs.LGcs.AIarXiv:2010.13902v32020
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen, Rob Fergus
cs.CVarXiv:1411.4734v42014
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch, Abhinav Gupta, Alexei A. Efros
cs.CVarXiv:1505.05192v32015
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
cs.CVarXiv:1610.02357v32016
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
Ciara Rowles, Reshinth Adithyan, Nikhil Pinnaparaju +2
cs.CVarXiv:2605.30257v12026
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133
astro-ph.IMarXiv:2206.14220v12022
RefCaptioner: Multi-Reference Image-Grounded Video Captioning
Tengfei Liu, Yang Shi, Yuran Wang +16
cs.CVarXiv:2607.28509v12026
DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
Shigui Li, Delu Zeng
cs.LGarXiv:2607.17972v12026
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
Jingxuan Han, Wei Liu, Mingyang Zhu +8
cs.AIarXiv:2606.12871v12026
A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency
Ravi Satya Durga Prasad Yenugula
cs.DCcs.AIcs.CLarXiv:2608.15975v12026
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian +4
cs.CVarXiv:1809.02983v42018
SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation
Jiandong Ding, Huijie Qin, Tiandeng Wu +1
cs.IRcs.AIarXiv:2608.18779v12026
Summaries:한국어
Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics
Masafumi Endo, Kohei Honda, Yuu Jinnai +1
cs.ROcs.AIarXiv:2608.18672v12026
ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents
Tianchen Guan, Xinlei Lin, Royce Cheng-Yue +2
cs.AIcs.CLcs.HCarXiv:2608.18307v12026

Every paper with a summary

Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes

Deep Reinforcement Learning: An Overview

Deep Learning for Anomaly Detection: A Survey

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

Recent Advances in Physical Reservoir Computing: A Review

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Understanding Convolution for Semantic Segmentation

Kvasir-SEG: A Segmented Polyp Dataset

GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Challenges in Representation Learning: A report on three machine learning contests

The Rise of Social Bots

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents

Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting

Hypergraph Neural Networks

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Learning Face Representation from Scratch

Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Learning to learn by gradient descent by gradient descent

European Union regulations on algorithmic decision-making and a "right to explanation"

Robots Need More than VLA and World Models

Multi-Stage Progressive Image Restoration

A Structured Self-attentive Sentence Embedding

The FF Planning System: Fast Plan Generation Through Heuristic Search

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

Continual Learning with Deep Generative Replay

Mixed Precision Training

SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

CvT: Introducing Convolutions to Vision Transformers

Firefly Algorithm, Stochastic Test Functions and Design Optimisation

Big Self-Supervised Models are Strong Semi-Supervised Learners

Common Voice: A Massively-Multilingual Speech Corpus

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

The Security of Practical Quantum Key Distribution

Road Extraction by Deep Residual U-Net

Deformable ConvNets v2: More Deformable, Better Results

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Albumentations: fast and flexible image augmentations

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Self-training with Noisy Student improves ImageNet classification

Graph Contrastive Learning with Augmentations

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

Unsupervised Visual Representation Learning by Context Prediction

Xception: Deep Learning with Depthwise Separable Convolutions

Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

RefCaptioner: Multi-Reference Image-Grounded Video Captioning

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

Dual Attention Network for Scene Segmentation

SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation

Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics

ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents