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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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48,781 to 48,840 of 61,305

An LSTM Network for Highway Trajectory Prediction
Florent Altché, Arnaud de La Fortelle
cs.ROcs.LGarXiv:1801.07962v12018
GloptiPoly 3: moments, optimization and semidefinite programming
Didier Henrion, Jean Bernard Lasserre, Johan Lofberg
math.OCarXiv:0709.2559v12007
On Loss Functions for Deep Neural Networks in Classification
Katarzyna Janocha, Wojciech Marian Czarnecki
cs.LGarXiv:1702.05659v12017
Generating Biomedical Fact-Checking Reports with RL-Enhanced Agentic Search
Jiongxiao Wang, Dingli Ma, Chaoqun Ni
cs.AIarXiv:2608.23811v12026
Generalizing Face Forgery Detection with High-frequency Features
Yuchen Luo, Yong Zhang, Junchi Yan +1
cs.CVarXiv:2103.12376v12021
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam +2
cs.CVarXiv:2012.00759v32020
Cross-Generation Optimization of YOLOv26, YOLOv11, and YOLOv8 for Fine-Grained Small-Object Detection and Instance Segmentation in Complex Orchards
Ranjan Sapkota, Manoj Karkee
cs.CVarXiv:2608.23636v12026
Strong scaling of general-purpose molecular dynamics simulations on GPUs
Jens Glaser, Trung Dac Nguyen, Joshua A. Anderson +5
physics.comp-pharXiv:1412.3387v12014
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan +1
cs.CLcs.AIcs.LGarXiv:2309.00071v32023
Large-scale Multi-view Subspace Clustering in Linear Time
Zhao Kang, Wangtao Zhou, Zhitong Zhao +3
cs.LGcs.CVstat.MLarXiv:1911.09290v12019
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang, Zixiang Zhou, Philip David +4
cs.CVarXiv:2003.14032v22020
The Resource Theory of Stabilizer Computation
Victor Veitch, Seyed Ali Hamed Mousavian, Daniel Gottesman +1
quant-pharXiv:1307.7171v12013
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann +1
cs.CVarXiv:1607.03597v72016
On Smoothing and Inference for Topic Models
Arthur Asuncion, Max Welling, Padhraic Smyth +1
cs.LGstat.MLarXiv:1205.2662v12012
FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding
Ibne Farabi Shihab, Naoshin Anzum Hridi, Joyanta Jyoti Mondal
cs.LGarXiv:2608.23849v12026
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan, Ziliang Chen, Anni Xu +3
cs.CVcs.LGarXiv:1909.13032v22019
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan, Eric Battenberg, Ying Xiao +6
cs.CLcs.LGcs.SDarXiv:1803.09047v12018
Interpreting Control Latents for System Identification via Conditional Flow Matching
Dingqi Zhang, Ruiqi Zhang, Mark W. Mueller
cs.ROarXiv:2608.23887v12026
PAWS: Paraphrase Adversaries from Word Scrambling
Yuan Zhang, Jason Baldridge, Luheng He
cs.CLarXiv:1904.01130v12019
Single-chip photonic deep neural network for instantaneous image classification
Farshid Ashtiani, Alexander J. Geers, Firooz Aflatouni
cs.ETphysics.opticsarXiv:2106.11747v12021
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo +2
cs.CVcs.LGarXiv:1904.01990v12019
A review of domain adaptation without target labels
Wouter M. Kouw, Marco Loog
cs.LGstat.MLarXiv:1901.05335v22019
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du, David Cote, Yan Liu
cs.LGarXiv:2202.08516v52022
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku +1
cs.CVarXiv:1804.10427v22018
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang +3
eess.IVcs.CVarXiv:2109.05923v12021
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language
Songyang Zhang, Houwen Peng, Jianlong Fu +1
cs.CVcs.IRcs.MMarXiv:1912.03590v32019
Visual Semantic Reasoning for Image-Text Matching
Kunpeng Li, Yulun Zhang, Kai Li +2
cs.CVarXiv:1909.02701v12019
Learning to Compose Dynamic Tree Structures for Visual Contexts
Kaihua Tang, Hanwang Zhang, Baoyuan Wu +2
cs.CVarXiv:1812.01880v12018
Recent Advances in Graph Partitioning
Aydin Buluc, Henning Meyerhenke, Ilya Safro +2
cs.DScs.DCmath.COarXiv:1311.3144v32013
Reinforcement learning based recommender systems: A survey
M. Mehdi Afsar, Trafford Crump, Behrouz Far
cs.IRarXiv:2101.06286v22021
FinixDoc: Rethinking Financial Document Parsing Beyond Saturated Benchmarks
Hang Wang, Jin Zhang, Guoliang Xu +13
cs.AIarXiv:2608.22842v12026
$A^2$-Nets: Double Attention Networks
Yunpeng Chen, Yannis Kalantidis, Jianshu Li +2
cs.CVarXiv:1810.11579v12018
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, Daniel M. Roy
cs.CVcs.LGarXiv:1608.00853v12016
ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms
Martin Aumüller, Erik Bernhardsson, Alexander Faithfull
cs.IRcs.DBarXiv:1807.05614v22018
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
cs.CVcs.AIarXiv:1702.08400v32017
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
Junru Gu, Chen Sun, Hang Zhao
cs.CVcs.ROarXiv:2108.09640v22021
DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models
Jeong-gi Kwak, Sho Kagami, Yuki Ono +1
cs.CVarXiv:2608.23850v12026
Differential Learning for Robust Prediction of Thermal Stability with Application to Energetic Materials
Megan C. Davis, R. Seaton Ullberg, Jeremy N. Schroeder +5
physics.chem-phcond-mat.mtrl-scics.LGarXiv:2608.23874v12026
MirrorGAN: Learning Text-to-image Generation by Redescription
Tingting Qiao, Jing Zhang, Duanqing Xu +1
cs.CLcs.CVcs.LGarXiv:1903.05854v12019
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Filip Radenović, Giorgos Tolias, Ondřej Chum
cs.CVarXiv:1604.02426v32016
Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information
Xiao Liu, Haoyang Li, Songwei Li +4
cs.MAcs.CLarXiv:2608.23867v12026
Too much of a good thing -- when knowledge distillation promotes overfitting, and how to avoid it
Irene Trigueros-Lorca, Leonardo Concepción, Christian Wagner +2
cs.CVcs.AIarXiv:2608.23752v12026
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Alex Wang, Kyunghyun Cho, Mike Lewis
cs.CLarXiv:2004.04228v12020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen +3
cs.CLcs.LGmath.OCarXiv:1911.03437v52019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin, Chi Jin, Michael I. Jordan
cs.LGmath.OCstat.MLarXiv:1906.00331v102019
Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value
Kalin Stoyanov
cs.AIarXiv:2608.23644v12026
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal, Ashvin Nair, Pieter Abbeel +2
cs.CVcs.AIcs.ROarXiv:1606.07419v22016
"Betweenness Centrality" as an Indicator of the "Interdisciplinarity" of Scientific Journals
Loet Leydesdorff
physics.soc-pharXiv:0911.2719v12009
CrowdER: Crowdsourcing Entity Resolution
Jiannan Wang, Tim Kraska, Michael J. Franklin +1
cs.DBarXiv:1208.1927v12012
Respondent-Driven Sampling: An Assessment of Current Methodology
Krista J. Gile, Mark S. Handcock
stat.AParXiv:0904.1855v12009
Mapping the Concept Landscape: Structural Perception of Global Distributions for Transparent Data Pruning
Dongyue Wu, Tao Ma
cs.LGcs.CVarXiv:2608.22858v12026
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Yu Sun, Shuohuan Wang, Shikun Feng +19
cs.CLarXiv:2107.02137v12021
Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation
Mohammad Mahdi Danesh Pajouh, Sara Saeedi
eess.IVcs.CVarXiv:2608.23745v12026
A Survey of Hallucination in Large Foundation Models
Vipula Rawte, Amit Sheth, Amitava Das
cs.AIcs.CLcs.IRarXiv:2309.05922v12023
Machine Theory of Mind
Neil C. Rabinowitz, Frank Perbet, H. Francis Song +3
cs.AIarXiv:1802.07740v22018
Thresholds for epidemic spreading in networks
Claudio Castellano, Romualdo Pastor-Satorras
cond-mat.stat-mechcs.SIphysics.soc-pharXiv:1010.1646v22010
In-Context Inpainting for Time Series Forecasting
Thang Nguyen, Dung Nguyen, Romero Morais +1
cs.AIarXiv:2608.23855v12026
End-to-End Text-Dependent Speaker Verification
Georg Heigold, Ignacio Moreno, Samy Bengio +1
cs.LGcs.SDarXiv:1509.08062v12015
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny +1
cs.AIarXiv:1706.07068v12017
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie +4
cs.CLarXiv:2009.10795v22020

Every paper with a summary

An LSTM Network for Highway Trajectory Prediction

GloptiPoly 3: moments, optimization and semidefinite programming

On Loss Functions for Deep Neural Networks in Classification

Generating Biomedical Fact-Checking Reports with RL-Enhanced Agentic Search

Generalizing Face Forgery Detection with High-frequency Features

MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers

Cross-Generation Optimization of YOLOv26, YOLOv11, and YOLOv8 for Fine-Grained Small-Object Detection and Instance Segmentation in Complex Orchards

Strong scaling of general-purpose molecular dynamics simulations on GPUs

YaRN: Efficient Context Window Extension of Large Language Models

Large-scale Multi-view Subspace Clustering in Linear Time

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

The Resource Theory of Stabilizer Computation

Accelerating Eulerian Fluid Simulation With Convolutional Networks

On Smoothing and Inference for Topic Models

FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding

Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

Interpreting Control Latents for System Identification via Conditional Flow Matching

PAWS: Paraphrase Adversaries from Word Scrambling

Single-chip photonic deep neural network for instantaneous image classification

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

A review of domain adaptation without target labels

SAITS: Self-Attention-based Imputation for Time Series

Open Set Domain Adaptation by Backpropagation

Low-Light Image Enhancement with Normalizing Flow

Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language

Visual Semantic Reasoning for Image-Text Matching

Learning to Compose Dynamic Tree Structures for Visual Contexts

Recent Advances in Graph Partitioning

Reinforcement learning based recommender systems: A survey

FinixDoc: Rethinking Financial Document Parsing Beyond Saturated Benchmarks

$A^2$-Nets: Double Attention Networks

A study of the effect of JPG compression on adversarial images

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

Asymmetric Tri-training for Unsupervised Domain Adaptation

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models

Differential Learning for Robust Prediction of Thermal Stability with Application to Energetic Materials

MirrorGAN: Learning Text-to-image Generation by Redescription

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information

Too much of a good thing -- when knowledge distillation promotes overfitting, and how to avoid it

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems

Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value

Learning to Poke by Poking: Experiential Learning of Intuitive Physics

"Betweenness Centrality" as an Indicator of the "Interdisciplinarity" of Scientific Journals

CrowdER: Crowdsourcing Entity Resolution

Respondent-Driven Sampling: An Assessment of Current Methodology

Mapping the Concept Landscape: Structural Perception of Global Distributions for Transparent Data Pruning

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

A Survey of Hallucination in Large Foundation Models

Machine Theory of Mind

Thresholds for epidemic spreading in networks

In-Context Inpainting for Time Series Forecasting

End-to-End Text-Dependent Speaker Verification

CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics