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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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49,981 to 50,040 of 61,306
Deep Learning in Medical Image Registration: A Survey
Grant Haskins, Uwe Kruger, Pingkun Yan
q-bio.QMcs.CVeess.IVarXiv:1903.02026v22019Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems
CheolWon Na, Hao Ni, Lukasz Szpruch +7
cs.AIcs.CEarXiv:2608.24069v12026Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu, José Lezama, Nitesh B. Gundavarapu +13
cs.CVcs.AIcs.MMarXiv:2310.05737v32023EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots
Boyuan An, Zhexiong Wang, Yipeng Wang +4
cs.ROarXiv:2602.18071v12026DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain
Walter Hernandez Cruz, Peter Devine, Nikhil Vadgama +2
cs.CLarXiv:2602.22045v22026Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang, Qingshan Liu, Danfeng Hong +1
cs.CVarXiv:1902.10858v12019TRACE: An Evidence-Grounded Benchmark for Safety Evaluation of Large Reasoning Models
Zhenyu Wu, Siyuan Chen, Changchun Yang +8
cs.AIarXiv:2608.24232v12026MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
Xabier de Zuazo, Vincenzo Verbeni, Eva Navas +3
cs.LGarXiv:2602.18253v12026Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
Sosuke Kobayashi
cs.CLcs.LGarXiv:1805.06201v12018DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu
cs.CVarXiv:1712.07384v12017SoK: ARCUS: On the Efficiency and Efficacy of Hardware Fuzzing
Alenkruth Krishnan Murali, Raghul Saravanan, Sai Manoj P D +1
cs.CRcs.SEarXiv:2608.23933v12026Generalized power method for sparse principal component analysis
Michel Journée, Yurii Nesterov, Peter Richtárik +1
math.OCarXiv:0811.4724v12008SIREN-Bench: Behavior-Driven Generation and Evaluation of Emergency-Vehicle Interactions
Yicheng Zhu, Tianmu Zhao, Haoxin Leng +3
cs.ROarXiv:2608.24094v12026Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language
Toheeb Aduramomi Jimoh, Tabea De Wille, Nikola S. Nikolov
cs.CLarXiv:2602.18964v12026DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference
Aditya Kumar Singh, Hitesh Kandala, Pratik Prabhanjan Brahma +2
cs.CVcs.AIarXiv:2602.18846v22026Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images
Yuxuan Yang, Zhonghao Yan, Yi Zhang +6
cs.CVarXiv:2602.19424v32026Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
Dana Berman, Deborah Levy, Shai Avidan +1
cs.CVarXiv:1811.01343v32018A Simple Convolutional Generative Network for Next Item Recommendation
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis +2
cs.IRcs.LGstat.MLarXiv:1808.05163v42018Communication-Inspired Tokenization for Structured Image Representations
Aram Davtyan, Yusuf Sahin, Yasaman Haghighi +4
cs.CVcs.AIcs.LGarXiv:2602.20731v12026Segmented Continuous Optimization
Teymur Aghayev
eess.SPcs.LGarXiv:2602.20857v22026Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li, Hao Liu, Chaofan Chen +1
cs.AIcs.LGstat.MLarXiv:1710.04806v22017Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
Ravi Ghadia, Maksim Abraham, Sergei Vorobyov +1
cs.LGcs.DCarXiv:2602.21196v22026AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar, Jonathan Gratch, Bjorn Schuller +7
cs.CVcs.HCcs.MMarXiv:1605.01600v42016Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages
Mohammadreza Ghaffarzadeh-Esfahani, Nahid Yousefian, Ebrahim Heidari-Farsani +4
cs.CLcs.AIcs.LGarXiv:2602.21374v12026POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim +3
cs.LGarXiv:2010.16011v32020How to Take a Memorable Picture? Empowering Users with Actionable Feedback
Francesco Laiti, Davide Talon, Jacopo Staiano +1
cs.CVarXiv:2602.21877v22026DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan, Jiangwei Xie, Xuming He
cs.CVcs.LGarXiv:2103.16788v12021Humans and LLMs Diverge on Probabilistic Inferences
Gaurav Kamath, Sreenath Madathil, Sebastian Schuster +2
cs.CLcs.AIarXiv:2602.23546v12026Data Leakage Inflates Generalizability of Power Outage Prediction Models
Yamil Essus, Ranga Raju Vatsavai, Benjamin Rachunok
cs.LGarXiv:2608.24665v12026Transformers converge to invariant algorithmic cores
Joshua S. Schiffman
cs.LGcs.AIarXiv:2602.22600v22026CL4SE: Benchmarking Context Learning on Software Engineering
Haichuan Hu, Quanjun Zhang, Ye Shang +4
cs.SEarXiv:2602.23047v32026Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen, Zhen Dong, Jiayu Ye +5
cs.CLcs.LGarXiv:1909.05840v22019Structural biology in the clouds: The WeNMR-EOSC Ecosystem
Rodrigo Vargas Honorato, Panagiotis I. Koukos, Brian Jiménez-García +5
q-bio.BMcs.CEcs.DCarXiv:2107.01056v12021Half-Truths Break Similarity-Based Retrieval
Bora Kargi, Arnas Uselis, Seong Joon Oh
cs.CVarXiv:2602.23906v12026Gripper-aware Vision Language Action Models
Hanyi Zhang, Zihong Luo, Tianyu Li +16
cs.ROarXiv:2608.24603v12026Automatic Model Card Generation Using an LLM
Tajkia Rahman Toma, Balreet Grewal, Cor-Paul Bezemer
cs.SEcs.AIarXiv:2608.24807v12026MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation
Rongsheng Wang, Minghao Wu, Hongru Zhou +4
cs.AIcs.CVarXiv:2603.00585v12026Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
Tianyu Wang, Xin Yang, Ke Xu +3
cs.CVarXiv:1904.01538v22019X-MULTI: VLM-based Imaging Factor Disentanglement for Factor-Aware Image Synthesis
Sonali Godavarthy, Matthias Neuwirth-Trapp, Tim-Felix Faasch +4
cs.CVcs.ROarXiv:2608.24563v12026One-Shot Learning from Demonstration of Contact-Rich Robotic Manipulation by Identifying Physical Interactions
A. H. G. Overbeek, H. van der Kooij, M. Vlutters
cs.ROarXiv:2608.24741v12026This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News
Benjamin D. Horne, Sibel Adali
cs.SIcs.CLarXiv:1703.09398v12017Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani, Jacob Bien, Jerome Friedman +4
math.STstat.MLarXiv:1011.2234v22010MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
Amir Zadeh, Rowan Zellers, Eli Pincus +1
cs.CLcs.MMarXiv:1606.06259v22016Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester
cs.LGcs.AIcs.ROarXiv:1904.12901v12019SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang +2
cs.CVarXiv:2401.13560v42024The RAT: A Unified Bayesian Model for RAG Evaluation
Pius von Däniken, Felix Matthias Saaro, Mark Cieliebak +1
cs.CLcs.AIarXiv:2608.24753v12026From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models
Hongrui Jia, Chaoya Jiang, Yongrui Heng +2
cs.CVarXiv:2602.22859v22026MobileNetV4 -- Universal Models for the Mobile Ecosystem
Danfeng Qin, Chas Leichner, Manolis Delakis +11
cs.CVarXiv:2404.10518v22024Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation?
Tilemachos Aravanis, Vladan Stojnić, Bill Psomas +2
cs.CVarXiv:2602.23339v12026Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty, Rémi Flamary, Amaury Habrard +1
stat.MLcs.LGarXiv:1705.08848v22017Causal Analysis for Time Series Foundation Models
Mathis Jander, Wouter van Heeswijk, Martijn Mes
cs.LGarXiv:2608.24303v12026Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
Chaoning Zhang, Dongshen Han, Yu Qiao +4
cs.CVarXiv:2306.14289v22023Gaussian Process Kernels for Pattern Discovery and Extrapolation
Andrew Gordon Wilson, Ryan Prescott Adams
stat.MLcs.AIstat.MEarXiv:1302.4245v32013Pivot-and-Station Multi-Agent Path Finding: Solvability, Complexity, and Algorithms
Andrea Di Nezza, Mihir Patel, Fabio Fagnani +1
cs.AIarXiv:2608.24585v12026DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
Shibo Hong, Boxian Ai, Jun Kuang +5
cs.CVcs.AIarXiv:2602.23622v22026Towards an integration of deep learning and neuroscience
Adam Marblestone, Greg Wayne, Konrad Kording
q-bio.NCarXiv:1606.03813v12016Geo-located Twitter as the proxy for global mobility patterns
Bartosz Hawelka, Izabela Sitko, Euro Beinat +3
cs.SIphysics.soc-pharXiv:1311.0680v22013Enhancing Spatial Understanding in Image Generation via Reward Modeling
Zhenyu Tang, Chaoran Feng, Yufan Deng +5
cs.CVarXiv:2602.24233v12026Causal Discovery with Continuous Additive Noise Models
Jonas Peters, Joris Mooij, Dominik Janzing +1
stat.MLarXiv:1309.6779v42013DiagramBank: A Quality-Audited Dataset of Scientific Schematic Diagrams with Multi-Level Document Context
Ling Yue, Tingwen Zhang, Jiaying Wang +2
cs.IRcs.AIarXiv:2604.20857v22026