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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117,421 to 117,480 of 117,701

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds
Prateek Biswas, Dhaval Patel, Vedant Khandelwal +2
cs.IRcs.LGcs.PLarXiv:2605.18827v12026
An open access repository of images on plant health to enable the development of mobile disease diagnostics
David. P. Hughes, Marcel Salathe
cs.CYarXiv:1511.08060v22015
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu, Martin Simonovsky
cs.CVcs.LGcs.NEarXiv:1711.09869v22017
Training Large Language Models to Predict Clinical Events
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
cs.LGcs.AIcs.CLarXiv:2605.12817v12026
Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition
Kush Juvekar, Kavya Manohar, Aditya Srinivas Menon +2
cs.CLcs.AIarXiv:2605.13087v22026
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon, Juan Pablo Bello
cs.SDcs.CVcs.LGarXiv:1608.04363v22016
LLM-based Detection of Manipulative Political Narratives
Sinclair Schneider, Florian Steuber, Gabi Dreo Rodosek
cs.CLarXiv:2605.14354v22026
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar +3
cs.CVcs.LGarXiv:1301.3666v22013
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen, Bing Xu, Chiyuan Zhang +1
cs.LGarXiv:1604.06174v22016
Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity
Prashant C. Raju
q-bio.NCcond-mat.dis-nnphysics.bio-pharXiv:2605.17199v12026
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han +4
cs.LGcs.AIcs.CLarXiv:2211.01910v22022
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu, Di Huang, Yunhong Wang
cs.CVarXiv:1711.07767v32017
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik +1
cs.LGarXiv:1611.02167v32016
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10
cs.CVarXiv:2605.20682v12026
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries
Mahdi Azhdari, Eric J. Gonzales
cs.CLarXiv:2605.21712v12026
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
Scientific reasoning does not reliably translate into scientific forecasting in frontier AI
Sean Wu, Pan Lu, Yupeng Chen +7
cs.AIarXiv:2605.22681v22026
Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang +4
cs.LGcs.AIeess.SParXiv:2202.07125v52022
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4
cs.CVarXiv:2605.25191v12026
Benchmarking Composed Image Retrieval for Applied Earth Observation
Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6
cs.CVarXiv:2605.24442v12026
OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks
Geoff Boeing
cs.SIphysics.soc-pharXiv:1611.01890v52016
A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
Logan Ward, Ankit Agrawal, Alok Choudhary +1
cond-mat.mtrl-sciarXiv:1606.09551v22016
Rethinking VLM Representation for VLA Initialization
Weifeng Lin, Siyuan Huang, Hao Li +5
cs.CVarXiv:2605.25802v12026
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jégou, Michal Drozdzal, David Vazquez +2
cs.CVarXiv:1611.09326v32016
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
Funing Fu, Tenghui Wang, Guanyu Zhou +2
cs.CVcs.LGarXiv:2605.27102v22026
Networks beyond pairwise interactions: structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini +5
physics.soc-phcond-mat.dis-nncs.SIarXiv:2006.01764v12020
MUSAN: A Music, Speech, and Noise Corpus
David Snyder, Guoguo Chen, Daniel Povey
cs.SDarXiv:1510.08484v12015
How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning
Qian Yang, Ankur Sikarwar, Huy Le +4
cs.CVarXiv:2605.27310v12026
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8
cs.LGcs.AIcs.CVarXiv:1806.10293v32018
Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings
Stanislav Kirdey, Clark Labs Inc
cs.AIarXiv:2605.28034v12026
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
Haoran Sun, Wenjie Li, Yujie Zhang +8
cs.AIcs.CLarXiv:2606.09365v32026
A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases
Arezoo Aghaei Chadegani, Hadi Salehi, Melor Md Yunus +4
cs.DLcs.CYarXiv:1305.0377v12013
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
cs.ITarXiv:1708.08514v12017
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Xingkui Zhu, Shuchang Lyu, Xu Wang +1
cs.CVcs.AIarXiv:2108.11539v12021
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang +1
cs.CVcs.LGarXiv:1904.07392v12019
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick +3
cs.CVcs.GRcs.ROarXiv:2303.11328v12023
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

Every paper with a summary

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds

An open access repository of images on plant health to enable the development of mobile disease diagnostics

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Training Large Language Models to Predict Clinical Events

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

LLM-based Detection of Manipulative Political Narratives

Zero-Shot Learning Through Cross-Modal Transfer

Training Deep Nets with Sublinear Memory Cost

Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity

Large Language Models Are Human-Level Prompt Engineers

Receptive Field Block Net for Accurate and Fast Object Detection

Designing Neural Network Architectures using Reinforcement Learning

Minimalist Visual Inertial Odometry

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

Generating Videos with Scene Dynamics

Scientific reasoning does not reliably translate into scientific forecasting in frontier AI

Transformers in Time Series: A Survey

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference

Benchmarking Composed Image Retrieval for Applied Earth Observation

OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks

A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials

Rethinking VLM Representation for VLA Initialization

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

Networks beyond pairwise interactions: structure and dynamics

MUSAN: A Music, Speech, and Noise Corpus

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory

A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Zero-1-to-3: Zero-shot One Image to 3D Object

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