{"date":"2025-12-18","schema_version":1,"captured_at":"2026-08-25T23:05:16.858Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Rob Reiner","views":944015,"rank":2,"extract":"Robert Reiner was an American filmmaker, actor, and political activist. He directed a series of acclaimed studio films in a career that spanned comedy, drama, romance, and documentary. Reiner received numerous accolades, including winning two Primetime Emmy Aw","url":"https://en.wikipedia.org/wiki/Rob_Reiner","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/89/Rob_Reiner_in_2016_%283x4_cropped%29.jpg/330px-Rob_Reiner_in_2016_%283x4_cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Dhurandhar","views":435450,"rank":5,"extract":"Dhurandhar is a 2025 Indian Hindi-language spy action thriller film written and directed by Aditya Dhar. 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As one of the most popular methods in tensor literature, Robust tensor principal component analysis (RTPCA) is a very effective tool to extract the low rank and sparse components in tensors. In this paper, a new method to analyze RTPCA is proposed based on the recently ","authors":["Shen, Bo","Zhang, Yutong","Zhenyu","Kong"],"url":"https://arxiv.org/abs/2008.02211","arxiv_id":"2008.02211","published":"2025-12-18"},{"title":"tensorflow-riemopt: A Library for Optimization on Riemannian Manifolds","abstract":"This paper presents tensorflow-riemopt, a Python library for geometric machine learning in TensorFlow. The library provides efficient implementations of neural network layers with manifold-constrained parameters, geometric operations on Riemannian manifolds, and stochastic optimization algorithms for non-Euclidean spaces. Designed for integration with TensorFlow Extended, it supports both research prototyping and pro","authors":["Smirnov, Oleg"],"url":"https://arxiv.org/abs/2105.13921","arxiv_id":"2105.13921","published":"2025-12-18"},{"title":"Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation","abstract":"Myoelectric pattern recognition is one of the important aspects in the design of the control strategy for various applications including upper-limb prostheses and bio-robotic hand movement systems. The current work has proposed an approach to design an energy-efficient EMG-based controller by considering a kernelized SVM classifier for decoding the information of surface electromyography (sEMG) signals to infer the u","authors":["Shaikh, Ahmed Aqeel","Mukhopadhyay, Anand Kumar","Poddar, Soumyajit","Samui, Suman"],"url":"https://arxiv.org/abs/2204.02179","arxiv_id":"2204.02179","published":"2025-12-18"},{"title":"Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension","abstract":"A classical result in online learning characterizes the optimal mistake bound achievable by deterministic learners using the Littlestone dimension (Littlestone '88). We prove an analogous result for randomized learners: we show that the optimal expected mistake bound in learning a class $\\mathcal{H}$ equals its randomized Littlestone dimension, which is the largest $d$ for which there exists a tree shattered by $","authors":["Filmus, Yuval","Hanneke, Steve","Mehalel, Idan","Moran, Shay"],"url":"https://arxiv.org/abs/2302.13849","arxiv_id":"2302.13849","published":"2025-12-18"},{"title":"SketchOGD: Memory-Efficient Continual Learning","abstract":"When machine learning models are trained continually on a sequence of tasks, they are often liable to forget what they learned on previous tasks--a phenomenon known as catastrophic forgetting. Proposed solutions to catastrophic forgetting tend to involve storing information about past tasks, meaning that memory usage is a chief consideration in determining their practicality. 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Experience with classical computing systems has show","authors":["Ayanzadeh, Ramin","Mousavi, Ahmad","Basareh, Amirhossein","Alavisamani, Narges","Taram, Kazem"],"url":"https://arxiv.org/abs/2311.13546","arxiv_id":"2311.13546","published":"2025-12-18"},{"title":"DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving","abstract":"Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD). We introduce DriveMLM, an LLM-based AD framework that can perform close-loop autonomous driving in realistic simulators. To this end, (1) we bridge the gap between the ","authors":["Cui, Erfei","Wang, Wenhai","Li, Zhiqi","Xie, Jiangwei","Zou, Haoming","Deng, Hanming"],"url":"https://arxiv.org/abs/2312.09245","arxiv_id":"2312.09245","published":"2025-12-18"},{"title":"Variational Continual Test-Time Adaptation","abstract":"Continual Test-Time Adaptation (CTTA) task investigates effective domain adaptation under the scenario of continuous domain shifts during testing time. Due to the utilization of solely unlabeled samples, there exists significant uncertainty in model updates, leading CTTA to encounter severe error accumulation issues. In this paper, we introduce VCoTTA, a variational Bayesian approach to measure uncertainties in CTTA.","authors":["Lyu, Fan","Du, Kaile","Li, Yuyang","Zhao, Hanyu","Hu, Fuyuan","Zhang, Zhang"],"url":"https://arxiv.org/abs/2402.08182","arxiv_id":"2402.08182","published":"2025-12-18"},{"title":"Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry","abstract":"Since coral reef ecosystems face threats from human activities and climate change, coral conservation programs are implemented worldwide. Monitoring coral health provides references for guiding conservation activities. However, current labor-intensive methods result in a backlog of unsorted images, highlighting the need for automated classification. Few studies have simultaneously utilized accurate annotations along ","authors":["Shao, Xinlei","Chen, Hongruixuan","Magson, Kirsty","Wang, Jiaqi","Song, Jian","Chen, Jundong"],"url":"https://arxiv.org/abs/2403.05930","arxiv_id":"2403.05930","published":"2025-12-18"},{"title":"REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning","abstract":"Exemplar-free class-incremental learning (EFCIL) aims to mitigate catastrophic forgetting in class-incremental learning (CIL) without available historical training samples as exemplars. Compared with its exemplar-based CIL counterpart that stores exemplars, EFCIL suffers more from forgetting issues. Recently, a new EFCIL branch named Analytic Continual Learning (ACL) introduces a gradient-free paradigm via Recursive ","authors":["He, Run","Fang, Di","Chen, Yizhu","Tong, Kai","Chen, Cen","Wang, Yi"],"url":"https://arxiv.org/abs/2403.13522","arxiv_id":"2403.13522","published":"2025-12-18"},{"title":"ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction","abstract":"NeRF-based methods reconstruct 3D scenes by building a radiance field with implicit or explicit representations. While NeRF-based methods can perform novel view synthesis (NVS) at arbitrary scale, the performance in high-resolution novel view synthesis (HRNVS) with low-resolution (LR) optimization often results in oversmoothing. On the other hand, single-image super-resolution (SR) aims to enhance LR images to HR cou","authors":["Huang, Ding-Jiun","Chou, Zi-Ting","Wang, Yu-Chiang Frank","Sun, Cheng"],"url":"https://arxiv.org/abs/2406.20066","arxiv_id":"2406.20066","published":"2025-12-18"},{"title":"Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies","abstract":"We study one of the most popular problems in **neurosymbolic learning** (NSL), that of learning neural classifiers given only the result of applying a symbolic component $σ$ to the gold labels of the elements of a vector $\\mathbf x$. The gold labels of the elements in $\\mathbf x$ are unknown to the learner. We make multiple contributions, theoretical and practical, to address a problem that has not been studied so fa","authors":["Wang, Kaifu","Tsamoura, Efthymia","Roth, Dan"],"url":"https://arxiv.org/abs/2407.10000","arxiv_id":"2407.10000","published":"2025-12-18"},{"title":"A Survey of Accessible Explainable Artificial Intelligence Research","abstract":"The increasing integration of Artificial Intelligence (AI) into everyday life makes it essential to explain AI-based decision-making in a way that is understandable to all users, including those with disabilities. Accessible explanations are crucial as accessibility in technology promotes digital inclusion and allows everyone, regardless of their physical, sensory, or cognitive abilities, to use these technologies ef","authors":["Nwokoye, Chukwunonso Henry","Peixoto, Maria J. P.","Pandey, Akriti","Pardy, Lauren","Sukhai, Mahadeo","Lewis, Peter R."],"url":"https://arxiv.org/abs/2407.17484","arxiv_id":"2407.17484","published":"2025-12-18"},{"title":"Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning","abstract":"Modern vehicles rely on a myriad of electronic control units (ECUs) interconnected via controller area networks (CANs) for critical operations. Despite their ubiquitous use and reliability, CANs are susceptible to sophisticated cyberattacks, particularly masquerade attacks, which inject false data that mimic legitimate messages at the expected frequency. These attacks pose severe risks such as unintended acceleration","authors":["Marfo, William","Moriano, Pablo","Tosh, Deepak K.","Moore, Shirley V."],"url":"https://arxiv.org/abs/2408.05427","arxiv_id":"2408.05427","published":"2025-12-18"},{"title":"TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles","abstract":"While modern Autonomous Vehicle (AV) systems can develop reliable driving policies under regular traffic conditions, they frequently struggle with safety-critical traffic scenarios. This difficulty primarily arises from the rarity of such scenarios in driving datasets and the complexities associated with predictive modeling of multiple vehicles. Effectively simulating safety-critical traffic situations is therefore a","authors":["Qiao, Guanren","Quan, Guorui","Yu, Jiawei","Jia, Shujun","Liu, Guiliang"],"url":"https://arxiv.org/abs/2408.15538","arxiv_id":"2408.15538","published":"2025-12-18"},{"title":"SynJAC: Synthetic-data-driven Joint-granular Adaptation and Calibration for Domain Specific Scanned Document Key Information Extraction","abstract":"Visually Rich Documents (VRDs), comprising elements such as charts, tables, and paragraphs, convey complex information across diverse domains. However, extracting key information from these documents remains labour-intensive, particularly for scanned formats with inconsistent layouts and domain-specific requirements. Despite advances in pretrained models for VRD understanding, their dependence on large annotated data","authors":["Ding, Yihao","Han, Soyeon Caren","Li, Zechuan","Chung, Hyunsuk"],"url":"https://arxiv.org/abs/2410.01609","arxiv_id":"2410.01609","published":"2025-12-18"},{"title":"Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning","abstract":"Reasoning and linguistic skills form the cornerstone of human intelligence, facilitating problem-solving and decision-making. Recent advances in Large Language Models (LLMs) have led to impressive linguistic capabilities and emergent reasoning behaviors, fueling widespread adoption across application domains. However, LLMs still struggle with complex reasoning tasks, highlighting their systemic limitations. In this w","authors":["Arora, Gaurav","Merugu, Srujana","Jain, Shreya","Saxena, Vaibhav"],"url":"https://arxiv.org/abs/2410.14235","arxiv_id":"2410.14235","published":"2025-12-18"},{"title":"Multi-Task Dynamic Pricing in Credit Market with Contextual Information","abstract":"We study the dynamic pricing problem faced by a broker seeking to learn prices for a large number of credit market securities, such as corporate bonds, government bonds, loans, and other credit-related securities. A major challenge in pricing these securities stems from their infrequent trading and the lack of transparency in over-the-counter (OTC) markets, which leads to insufficient data for individual pricing. Nev","authors":["Javanmard, Adel","Ji, Jingwei","Xu, Renyuan"],"url":"https://arxiv.org/abs/2410.14839","arxiv_id":"2410.14839","published":"2025-12-18"},{"title":"Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models","abstract":"Beyond high-fidelity image synthesis, diffusion models have recently exhibited promising results in dense visual perception tasks. However, most existing work treats diffusion models as a standalone component for perception tasks, employing them either solely for off-the-shelf data augmentation or as mere feature extractors. In contrast to these isolated and thus sub-optimal efforts, we introduce a unified, versatile","authors":["Zheng, Shuhong","Bao, Zhipeng","Zhao, Ruoyu","Hebert, Martial","Wang, Yu-Xiong"],"url":"https://arxiv.org/abs/2411.05005","arxiv_id":"2411.05005","published":"2025-12-18"},{"title":"Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection","abstract":"Facial landmark detection is a fundamental problem in computer vision for many downstream applications. This paper introduces a new facial landmark detector based on vision transformers, which consists of two unique designs: Dual Vision Transformer (D-ViT) and Long Skip Connections (LSC). Based on the observation that the channel dimension of feature maps essentially represents the linear bases of the heatmap space, ","authors":["Dang, Ziqiang","Li, Jianfang","Liu, Lin"],"url":"https://arxiv.org/abs/2411.07167","arxiv_id":"2411.07167","published":"2025-12-18"},{"title":"Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors","abstract":"Adversarial camouflage is a widely used physical attack against vehicle detectors for its superiority in multi-view attack performance. One promising approach involves using differentiable neural renderers to facilitate adversarial camouflage optimization through gradient back-propagation. However, existing methods often struggle to capture environmental characteristics during the rendering process or produce adversa","authors":["Zhou, Jiawei","Lyu, Linye","He, Daojing","Li, Yu"],"url":"https://arxiv.org/abs/2411.10029","arxiv_id":"2411.10029","published":"2025-12-18"},{"title":"If you can describe it, they can see it: Cross-Modal Learning of Visual Concepts from Textual Descriptions","abstract":"Humans can visualize new and unknown concepts from their natural language description, based on their experience and previous knowledge. Insipired by this, we present a way to extend this ability to Vision-Language Models (VLMs), teaching them novel concepts by only using a textual description. We refer to this approach as Knowledge Transfer (KT). Our hypothesis is that the knowledge of a pre-trained VLM can be re-us","authors":["Barbano, Carlo Alberto","Molinaro, Luca","Ciranni, Massimiliano","Aiello, Emanuele","Pastore, Vito Paolo","Grangetto, Marco"],"url":"https://arxiv.org/abs/2411.15611","arxiv_id":"2411.15611","published":"2025-12-18"},{"title":"From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning","abstract":"Ultrasound imaging is widely used in clinical diagnosis due to its non-invasive nature and real-time capabilities. However, traditional ultrasound diagnostics relies heavily on physician expertise and is often hampered by suboptimal image quality, leading to potential diagnostic errors. While artificial intelligence (AI) offers a promising solution to enhance clinical diagnosis by detecting abnormalities across vario","authors":["Jiang, Yuncheng","Feng, Chun-Mei","Ren, Jinke","Wei, Jun","Zhang, Zixun","Hu, Yiwen"],"url":"https://arxiv.org/abs/2411.16380","arxiv_id":"2411.16380","published":"2025-12-18"},{"title":"Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset","abstract":"The use of machine learning and AI on electronic health records (EHRs) holds substantial potential for clinical insight. However, this approach faces challenges due to data heterogeneity, sparsity, temporal misalignment, and limited labeled outcomes. In this context, we leverage a linked EHR dataset of approximately one million de-identified individuals from Bristol, North Somerset, and South Gloucestershire, UK, to ","authors":["Dai, Yujie","Sullivan, Brian","Montout, Axel","Dillon, Amy","Waller, Chris","Acs, Peter"],"url":"https://arxiv.org/abs/2411.17645","arxiv_id":"2411.17645","published":"2025-12-18"},{"title":"KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment","abstract":"Wireless sensing has recently found widespread applications in diverse environments, including homes, offices, and public spaces. By analyzing patterns in channel state information (CSI), it is possible to infer human actions for tasks such as person identification, gesture recognition, and fall detection. However, CSI is highly sensitive to environmental changes, where even minor alterations can significantly distor","authors":["Zhao, Zijian","Cai, Zhijie","Chen, Tingwei","Li, Xiaoyang","Li, Hang","Chen, Qimei"],"url":"https://arxiv.org/abs/2412.04783","arxiv_id":"2412.04783","published":"2025-12-18"}],"history":{"events":[{"year":2023,"text":"A series of mass protests began in Belgrade, Serbia, alleging electoral irregularities in the Serbian parliament and Belgrade city assembly elections.","url":"https://en.wikipedia.org/wiki/2023_Serbian_election_protests"},{"year":2017,"text":"An Amtrak Cascades passenger train derailed near DuPont, Washington, killing three people and injuring sixty-five others.","url":"https://en.wikipedia.org/wiki/Amtrak_Cascades"},{"year":1996,"text":"The school board of Oakland, California, passed a controversial resolution officially declaring African-American Vernacular English to be a separate language or dialect.","url":"https://en.wikipedia.org/wiki/Oakland_Unified_School_District"},{"year":1979,"text":"Mohammad Mofatteh, an Iranian philosopher, was assassinated by the Furqan Group.","url":"https://en.wikipedia.org/wiki/Mohammad_Mofatteh"},{"year":1969,"text":"On Her Majesty's Secret Service, the sixth James Bond film and the only one to star George Lazenby, premiered at the Odeon Leicester Square in London.","url":"https://en.wikipedia.org/wiki/On_Her_Majesty's_Secret_Service_(film)"},{"year":1966,"text":"Epimetheus, one of the moons of Saturn, was discovered, but was mistaken for Janus; it took twelve years to determine that they are two distinct objects sharing the same orbit.","url":"https://en.wikipedia.org/wiki/Epimetheus_(moon)"},{"year":1963,"text":"Ghanaian and other African students organized a protest in Moscow's Red Square in response to the alleged murder of medical student Edmund Assare-Addo.","url":"https://en.wikipedia.org/wiki/1963_Moscow_protest"},{"year":1958,"text":"The United States launched SCORE (rocket pictured), the world's first communications satellite.","url":"https://en.wikipedia.org/wiki/SCORE_(satellite)"},{"year":1939,"text":"Second World War: The Luftwaffe won a victory over the Royal Air Force in the Battle of the Heligoland Bight, greatly influencing both sides' future aerial warfare strategy.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1932,"text":"Playing indoors at Chicago Stadium on a modified American football field, the Chicago Bears defeated the Portsmouth Spartans in the first playoff game of the National Football League.","url":"https://en.wikipedia.org/wiki/Chicago_Stadium"},{"year":1913,"text":"The Jew's Christmas, the first American film to include a rabbi as a character, was released.","url":"https://en.wikipedia.org/wiki/The_Jew's_Christmas"},{"year":1867,"text":"In Angola, New York, the last coach of a Lake Shore Railway train derailed, plunged 40 feet (12 m) down a gully, and caught fire, resulting in approximately 49 deaths.","url":"https://en.wikipedia.org/wiki/Angola%2C_New_York"},{"year":1792,"text":"Thomas Paine (depicted) was found guilty of seditious libel for the publication of the second part of his book Rights of Man.","url":"https://en.wikipedia.org/wiki/Thomas_Paine"},{"year":1622,"text":"Portuguese forces and their Imbangala allies defeated the Kongo army at the Battle of Mbumbi.","url":"https://en.wikipedia.org/wiki/Imbangala"},{"year":1499,"text":"Muslims in Granada began a rebellion against their Castilian rulers in response to forced conversions to Catholicism.","url":"https://en.wikipedia.org/wiki/Granada"}],"births":[{"year":2002,"text":"Syd Hartha, Filipino singer-songwriter","url":"https://en.wikipedia.org/wiki/Syd_Hartha"},{"year":2002,"text":"Giuliano Simeone, Argentine footballer","url":"https://en.wikipedia.org/wiki/Giuliano_Simeone"},{"year":2001,"text":"Billie Eilish, American singer","url":"https://en.wikipedia.org/wiki/Billie_Eilish"},{"year":2001,"text":"Jalen Johnson, American basketball player","url":"https://en.wikipedia.org/wiki/Jalen_Johnson"},{"year":2000,"text":"Jayden Daniels, American football player","url":"https://en.wikipedia.org/wiki/Jayden_Daniels"},{"year":2000,"text":"Korapat Kirdpan, Thai actor and singer","url":"https://en.wikipedia.org/wiki/Korapat_Kirdpan"},{"year":2000,"text":"Travon Walker, American football player","url":"https://en.wikipedia.org/wiki/Travon_Walker"},{"year":1999,"text":"Dorka Juhász, Hungarian basketball player","url":"https://en.wikipedia.org/wiki/Dorka_Juh%C3%A1sz"}],"deaths":[{"year":2025,"text":"Jim Hunt, American politician, 69th and 71st Governor of North Carolina (born 1937)","url":"https://en.wikipedia.org/wiki/Jim_Hunt"},{"year":2025,"text":"Osman Hadi, Bangladeshi politician and activist (born 1993)","url":"https://en.wikipedia.org/wiki/Osman_Hadi"},{"year":2024,"text":"Slim Dunlap, American singer-songwriter and guitarist (born 1951)","url":"https://en.wikipedia.org/wiki/Slim_Dunlap"},{"year":2024,"text":"John Marsden, Australian writer (born 1950)","url":"https://en.wikipedia.org/wiki/John_Marsden_(writer)"},{"year":2021,"text":"Sayaka Kanda, Japanese actress and singer (born 1986)","url":"https://en.wikipedia.org/wiki/Sayaka_Kanda"},{"year":2020,"text":"Jerry Relph, American politician and member of the Minnesota Senate (born 1944)","url":"https://en.wikipedia.org/wiki/Jerry_Relph"},{"year":2017,"text":"Kim Jong-hyun, South Korean singer (born 1990)","url":"https://en.wikipedia.org/wiki/Jonghyun"},{"year":2016,"text":"Zsa Zsa Gabor, Hungarian-American actress and socialite (born 1917)","url":"https://en.wikipedia.org/wiki/Zsa_Zsa_Gabor"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}