{"date":"2026-01-13","schema_version":1,"captured_at":"2026-08-25T23:23:32.058Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Donald Trump","views":739258,"rank":3,"extract":"Donald John Trump is an American politician, media personality, and businessman who is the 47th president of the United States. 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The proposed approach is based on a novel stochastic optimization approach known as the Adaptive Moment Estimation (Adam) algorithm. The proposed BSS solution can benefit from the excellent properties of the Adam approach. In order to derive the new learning rule, the ","authors":["Scarpiniti, Michele","Scardapane, Simone","Comminiello, Danilo","Parisi, Raffaele","Uncini, Aurelio"],"url":"https://arxiv.org/abs/1605.07833","arxiv_id":"1605.07833","published":"2026-01-13"},{"title":"Survey on Publicly Available Sinhala Natural Language Processing Tools and Research","abstract":"Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo-European. However, due to poverty in both linguistic and economic capital, Sinhala, in the perspective of Natural Language Processing tools and research, remains a resource-poor language which has neither the economic drive its cousin English has nor ","authors":["de Silva, Nisansa"],"url":"https://arxiv.org/abs/1906.02358","arxiv_id":"1906.02358","published":"2026-01-13"},{"title":"Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks","abstract":"In the semantic segmentation of street scenes with neural networks, the reliability of predictions is of highest interest. The assessment of neural networks by means of uncertainties is a common ansatz to prevent safety issues. As in applications like automated driving, video streams of images are available, we present a time-dynamic approach to investigating uncertainties and assessing the prediction quality of neur","authors":["Maag, Kira","Rottmann, Matthias","Gottschalk, Hanno"],"url":"https://arxiv.org/abs/1911.05075","arxiv_id":"1911.05075","published":"2026-01-13"},{"title":"Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates","abstract":"Instance segmentation with neural networks is an essential task in environment perception. In many works, it has been observed that neural networks can predict false positive instances with high confidence values and true positives with low ones. Thus, it is important to accurately model the uncertainties of neural networks in order to prevent safety issues and foster interpretability. In applications such as automat","authors":["Maag, Kira","Rottmann, Matthias","Varghese, Serin","Hueger, Fabian","Schlicht, Peter","Gottschalk, Hanno"],"url":"https://arxiv.org/abs/2012.07504","arxiv_id":"2012.07504","published":"2026-01-13"},{"title":"Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation","abstract":"With appropriately chosen sampling probabilities, sampling-based random projection can be used to implement large-scale statistical methods, substantially reducing computational cost while maintaining low statistical error. However, computing optimal sampling probabilities is often itself expensive, and in practice one typically resorts to suboptimal schemes. This generally leads to increased time and space costs, as","authors":["Chen, Yifan","Yang, Yun"],"url":"https://arxiv.org/abs/2103.04031","arxiv_id":"2103.04031","published":"2026-01-13"},{"title":"False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates","abstract":"Instance segmentation of images is an important tool for automated scene understanding. Neural networks are usually trained to optimize their overall performance in terms of accuracy. Meanwhile, in applications such as automated driving, an overlooked pedestrian seems more harmful than a falsely detected one. In this work, we present a false negative detection method for image sequences based on inconsistencies in ti","authors":["Maag, Kira"],"url":"https://arxiv.org/abs/2106.14474","arxiv_id":"2106.14474","published":"2026-01-13"},{"title":"Approximating Persistent Homology for Large Datasets","abstract":"Persistent homology is an important methodology in topological data analysis which adapts theory from algebraic topology to data settings. Computing persistent homology produces persistence diagrams, which have been successfully used in diverse domains. Despite its widespread use, persistent homology is simply impossible to compute when a dataset is very large. We study a statistical approach to the problem of comput","authors":["Cao, Yueqi","Monod, Anthea"],"url":"https://arxiv.org/abs/2204.09155","arxiv_id":"2204.09155","published":"2026-01-13"},{"title":"False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation","abstract":"State-of-the-art deep neural networks demonstrate outstanding performance in semantic segmentation. However, their performance is tied to the domain represented by the training data. Open world scenarios cause inaccurate predictions which is hazardous in safety relevant applications like automated driving. In this work, we enhance semantic segmentation predictions using monocular depth estimation to improve segmentat","authors":["Maag, Kira","Rottmann, Matthias"],"url":"https://arxiv.org/abs/2207.03513","arxiv_id":"2207.03513","published":"2026-01-13"},{"title":"Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects","abstract":"In this work we present two video test data sets for the novel computer vision (CV) task of out of distribution tracking (OOD tracking). Here, OOD objects are understood as objects with a semantic class outside the semantic space of an underlying image segmentation algorithm, or an instance within the semantic space which however looks decisively different from the instances contained in the training data. OOD object","authors":["Maag, Kira","Chan, Robin","Uhlemeyer, Svenja","Kowol, Kamil","Gottschalk, Hanno"],"url":"https://arxiv.org/abs/2210.02074","arxiv_id":"2210.02074","published":"2026-01-13"},{"title":"Visual Adversarial Attacks and Defenses in the Physical World: A Survey","abstract":"Although Deep Neural Networks (DNNs) have been widely applied in various real-world scenarios, they remain vulnerable to adversarial examples. Adversarial attacks in computer vision can be categorized into digital attacks and physical attacks based on their different forms. Compared to digital attacks, which generate perturbations in digital pixels, physical attacks are more practical in real-world settings. Due to t","authors":["Wei, Xingxing","Pu, Bangzheng","Zhao, Shiji","Lu, Jiefan","Wu, Baoyuan"],"url":"https://arxiv.org/abs/2211.01671","arxiv_id":"2211.01671","published":"2026-01-13"},{"title":"Generative Modeling via Hierarchical Tensor Sketching","abstract":"We propose a hierarchical tensor-network approach for approximating high-dimensional probability density via empirical distribution. This leverages randomized singular value decomposition (SVD) techniques and involves solving linear equations for tensor cores in this tensor network. The complexity of the resulting algorithm scales linearly in the dimension of the high-dimensional density. An analysis of estimation er","authors":["Peng, Yifan","Chen, Yian","Stoudenmire, E. Miles","Khoo, Yuehaw"],"url":"https://arxiv.org/abs/2304.05305","arxiv_id":"2304.05305","published":"2026-01-13"},{"title":"Versatile audio-visual learning for emotion recognition","abstract":"Most current audio-visual emotion recognition models lack the flexibility needed for deployment in practical applications. We envision a multimodal system that works even when only one modality is available and can be implemented interchangeably for either predicting emotional attributes or recognizing categorical emotions. Achieving such flexibility in a multimodal emotion recognition system is difficult due to the ","authors":["Goncalves, Lucas","Leem, Seong-Gyun","Lin, Wei-Cheng","Sisman, Berrak","Busso, Carlos"],"url":"https://arxiv.org/abs/2305.07216","arxiv_id":"2305.07216","published":"2026-01-13"},{"title":"JoIN: Joint GANs Inversion for Intrinsic Image Decomposition","abstract":"Intrinsic Image Decomposition (IID) is a challenging inverse problem that seeks to decompose a natural image into its underlying intrinsic components such as albedo and shading. While recent image decomposition methods rely on learning-based priors on these components, they often suffer from component cross-contamination owing to joint training of priors; or from Sim-to-Real gap since the priors trained on synthetic ","authors":["Shah, Viraj","Lazebnik, Svetlana","Philip, Julien"],"url":"https://arxiv.org/abs/2305.11321","arxiv_id":"2305.11321","published":"2026-01-13"},{"title":"The Interpolating Information Criterion for Overparameterized Models","abstract":"The problem of model selection is considered for the setting of interpolating estimators, where the number of model parameters exceeds the size of the dataset. Classical information criteria typically consider the large-data limit, penalizing model size. However, these criteria are not appropriate in modern settings where overparameterized models tend to perform well. For any overparameterized model, we show that the","authors":["Hodgkinson, Liam","van der Heide, Chris","Salomone, Robert","Roosta, Fred","Mahoney, Michael W."],"url":"https://arxiv.org/abs/2307.07785","arxiv_id":"2307.07785","published":"2026-01-13"},{"title":"Pengembangan Model untuk Mendeteksi Kerusakan pada Terumbu Karang dengan Klasifikasi Citra","abstract":"The rich biodiversity of coral reefs in Indonesian waters represents a valuable asset that must be preserved. Rapid climate change and uncontrolled human activities have caused significant degradation of coral reef ecosystems, including coral bleaching, which is a critical indicator of declining reef health. Therefore, this study aims to develop an accurate classification model to distinguish between healthy corals a","authors":["Muhammad, Fadhil","Elfandra, Alif Bintang","Amin, Iqbal Pahlevi","Wicaksono, Alfan Farizki"],"url":"https://arxiv.org/abs/2308.04337","arxiv_id":"2308.04337","published":"2026-01-13"},{"title":"A Convex Framework for Confounding Robust Inference","abstract":"We study policy evaluation of offline contextual bandits subject to unobserved confounders. Sensitivity analysis methods are commonly used to estimate the policy value under the worst-case confounding over a given uncertainty set. However, existing work often resorts to some coarse relaxation of the uncertainty set for the sake of tractability, leading to overly conservative estimation of the policy value. In this pa","authors":["Ishikawa, Kei","He, Niao","Kanamori, Takafumi"],"url":"https://arxiv.org/abs/2309.12450","arxiv_id":"2309.12450","published":"2026-01-13"},{"title":"Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation","abstract":"State-of-the-art deep neural networks have been shown to be extremely powerful in a variety of perceptual tasks like semantic segmentation. However, these networks are vulnerable to adversarial perturbations of the input which are imperceptible for humans but lead to incorrect predictions. Treating image segmentation as a sum of pixel-wise classifications, adversarial attacks developed for classification models were ","authors":["Maag, Kira","Fischer, Asja"],"url":"https://arxiv.org/abs/2310.17436","arxiv_id":"2310.17436","published":"2026-01-13"},{"title":"A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognition","abstract":"This paper proposes an efficient attempt to noisy speech emotion recognition (NSER). Conventional NSER approaches have proven effective in mitigating the impact of artificial noise sources, such as white Gaussian noise, but are limited to non-stationary noises in real-world environments due to their complexity and uncertainty. To overcome this limitation, we introduce a new method for NSER by adopting the automatic s","authors":["Shi, Xiaohan","He, Jiajun","Li, Xingfeng","Toda, Tomoki"],"url":"https://arxiv.org/abs/2311.07093","arxiv_id":"2311.07093","published":"2026-01-13"},{"title":"Efficient Continual Pre-training for Building Domain Specific Large Language Models","abstract":"Large language models (LLMs) have demonstrated remarkable open-domain capabilities. LLMs tailored for a domain are typically trained entirely on domain corpus to excel at handling domain-specific tasks. In this work, we explore an alternative strategy of continual pre-training as a means to develop domain-specific LLMs over an existing open-domain LLM. We introduce FinPythia-6.9B, developed through domain-adaptive co","authors":["Xie, Yong","Aggarwal, Karan","Ahmad, Aitzaz"],"url":"https://arxiv.org/abs/2311.08545","arxiv_id":"2311.08545","published":"2026-01-13"},{"title":"A Concentration Bound for TD(0) with Function Approximation","abstract":"We derive uniform all-time concentration bound of the type 'for all $n \\geq n_0$ for some $n_0$' for TD(0) with linear function approximation. We work with online TD learning with samples from a single sample path of the underlying Markov chain. This makes our analysis significantly different from offline TD learning or TD learning with access to independent samples from the stationary distribution of the Mar","authors":["Chandak, Siddharth","Borkar, Vivek S."],"url":"https://arxiv.org/abs/2312.10424","arxiv_id":"2312.10424","published":"2026-01-13"},{"title":"A review of federated learning in renewable energy applications: Potential, challenges, and future directions","abstract":"Federated learning has recently emerged as a privacy-preserving distributed machine learning approach. Federated learning enables collaborative training of multiple clients and entire fleets without sharing the involved training datasets. By preserving data privacy, federated learning has the potential to overcome the lack of data sharing in the renewable energy sector which is inhibiting innovation, research and dev","authors":["Grataloup, Albin","Jonas, Stefan","Meyer, Angela"],"url":"https://arxiv.org/abs/2312.11220","arxiv_id":"2312.11220","published":"2026-01-13"},{"title":"LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving","abstract":"A map, as crucial information for downstream applications of an autonomous driving system, is usually represented in lanelines or centerlines. However, existing literature on map learning primarily focuses on either detecting geometry-based lanelines or perceiving topology relationships of centerlines. Both of these methods ignore the intrinsic relationship of lanelines and centerlines, that lanelines bind centerline","authors":["Li, Tianyu","Jia, Peijin","Wang, Bangjun","Chen, Li","Jiang, Kun","Yan, Junchi"],"url":"https://arxiv.org/abs/2312.16108","arxiv_id":"2312.16108","published":"2026-01-13"},{"title":"TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation","abstract":"The recent advances in natural language processing have predominantly favored well-resourced English-centric models, resulting in a significant gap with low-resource languages. In this work, we introduce the language model TURNA, which is developed for the low-resource language Turkish and is capable of both natural language understanding and generation tasks. TURNA is pretrained with an encoder-decoder architecture ","authors":["Uludoğan, Gökçe","Balal, Zeynep Yirmibeşoğlu","Akkurt, Furkan","Türker, Melikşah","Güngör, Onur","Üsküdarlı, Susan"],"url":"https://arxiv.org/abs/2401.14373","arxiv_id":"2401.14373","published":"2026-01-13"},{"title":"Learning Operators with Stochastic Gradient Descent in General Hilbert Spaces","abstract":"This study investigates leveraging stochastic gradient descent (SGD) to learn operators between general Hilbert spaces. We propose weak and strong regularity conditions for the target operator to depict its intrinsic structure and complexity. Under these conditions, we establish upper bounds for convergence rates of the SGD algorithm and conduct a minimax lower bound analysis, further illustrating that our convergenc","authors":["Shi, Lei","Yang, Jia-Qi"],"url":"https://arxiv.org/abs/2402.04691","arxiv_id":"2402.04691","published":"2026-01-13"},{"title":"A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs","abstract":"This work investigates adversarial training in the context of margin-based linear classifiers in the high-dimensional regime where the dimension $d$ and the number of data points $n$ diverge with a fixed ratio $α= n / d$. We introduce a tractable mathematical model where the interplay between the data and adversarial attacker geometries can be studied, while capturing the core phenomenology observed in the adversaria","authors":["Tanner, Kasimir","Vilucchio, Matteo","Loureiro, Bruno","Krzakala, Florent"],"url":"https://arxiv.org/abs/2402.05674","arxiv_id":"2402.05674","published":"2026-01-13"}],"history":{"events":[{"year":2012,"text":"The Italian cruise ship Costa Concordia (pictured) ran aground on a reef and capsized off Isola del Giglio, Tuscany.","url":"https://en.wikipedia.org/wiki/Costa_Concordia"},{"year":2003,"text":"The trans-Neptunian object 208996 Achlys was discovered by Chad Trujillo and Michael E. Brown at Palomar Observatory, California.","url":"https://en.wikipedia.org/wiki/208996_Achlys"},{"year":2001,"text":"The first of two large earthquakes in the span of a month struck El Salvador, killing at least 944 people and destroying over 100,000 homes.","url":"https://en.wikipedia.org/wiki/January_2001_El_Salvador_earthquake"},{"year":2000,"text":"Steve Ballmer replaced Bill Gates as the chief executive officer of Microsoft.","url":"https://en.wikipedia.org/wiki/Steve_Ballmer"},{"year":1972,"text":"Ghanaian military officer Ignatius Kutu Acheampong led a coup to overthrow Prime Minister Kofi Abrefa Busia and President Edward Akufo-Addo.","url":"https://en.wikipedia.org/wiki/Ignatius_Kutu_Acheampong"},{"year":1972,"text":"Bernice Gera won a sex-discrimination lawsuit against the National Association of Professional Baseball Leagues, allowing her to become the first female professional baseball umpire.","url":"https://en.wikipedia.org/wiki/Bernice_Gera"},{"year":1969,"text":"British rock band Led Zeppelin released their first album, Led Zeppelin, in the United States.","url":"https://en.wikipedia.org/wiki/Rock_music"},{"year":1968,"text":"American singer Johnny Cash recorded his landmark album At Folsom Prison live at Folsom State Prison in California.","url":"https://en.wikipedia.org/wiki/Johnny_Cash"},{"year":1963,"text":"Togo's first president, Sylvanus Olympio (pictured), was assassinated by military officers in a coup d'état led by Emmanuel Bodjollé, Étienne Eyadéma, and Kléber Dadjo.","url":"https://en.wikipedia.org/wiki/Sylvanus_Olympio"},{"year":1953,"text":"Nine Moscow doctors were accused of a plot to poison members of the Soviet political and military leadership.","url":"https://en.wikipedia.org/wiki/Doctors'_plot"},{"year":1949,"text":"In the first recorded instance of strike action by Catholic laity against the clergy, gravediggers at Calvary Cemetery in Queens, New York City, went on strike.","url":"https://en.wikipedia.org/wiki/Strike_action"},{"year":1916,"text":"The first Feminist Congress of Yucatán (delegates pictured) began in Mérida, Mexico, to propose reforms for women's social, educational, and legal rights.","url":"https://en.wikipedia.org/wiki/First_Feminist_Congress_of_Yucat%C3%A1n"},{"year":1915,"text":"About 30,000 people were killed when an earthquake struck the Province of L'Aquila in Italy.","url":"https://en.wikipedia.org/wiki/1915_Avezzano_earthquake"},{"year":1884,"text":"Welsh physician William Price (pictured) was arrested for attempting to cremate his deceased infant son; this eventually led to the passing of the Cremation Act 1902 by Parliament.","url":"https://en.wikipedia.org/wiki/William_Price_(physician)"},{"year":1847,"text":"The Treaty of Cahuenga was signed, informally ending the fighting of the Mexican–American War in California.","url":"https://en.wikipedia.org/wiki/Treaty_of_Cahuenga"},{"year":1842,"text":"First Anglo-Afghan War: William Brydon, an assistant surgeon in the British Army, was the sole European of the 14,000 people retreating from Kabul to Jalalabad who evaded capture or death.","url":"https://en.wikipedia.org/wiki/First_Anglo-Afghan_War"},{"year":1815,"text":"British troops captured Fort Peter in St. Marys, in the only battle of the War of 1812 to take place in the state of Georgia.","url":"https://en.wikipedia.org/wiki/Battle_of_Fort_Peter"},{"year":1797,"text":"French Revolutionary Wars: A naval battle off the coast of Brittany between two British frigates and a French ship of the line ended with hundreds of deaths when the latter ran aground.","url":"https://en.wikipedia.org/wiki/French_Revolutionary_Wars"}],"births":[{"year":2005,"text":"Iker Bravo, Spanish footballer","url":"https://en.wikipedia.org/wiki/Iker_Bravo"},{"year":2003,"text":"Oksana Selekhmeteva, Russian tennis player","url":"https://en.wikipedia.org/wiki/Oksana_Selekhmeteva"},{"year":2000,"text":"Harley Smith-Shields, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Harley_Smith-Shields"},{"year":1997,"text":"Douglas Augusto, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Douglas_Augusto"},{"year":1997,"text":"Egan Bernal, Colombian cyclist","url":"https://en.wikipedia.org/wiki/Egan_Bernal"},{"year":1997,"text":"Luis Díaz, Colombian footballer","url":"https://en.wikipedia.org/wiki/Luis_D%C3%ADaz_(footballer%2C_born_1997)"},{"year":1997,"text":"Henry Ellenson, American basketball player","url":"https://en.wikipedia.org/wiki/Henry_Ellenson"},{"year":1997,"text":"Connor McDavid, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Connor_McDavid"}],"deaths":[{"year":2026,"text":"Scott Adams, American author and illustrator (born 1957)","url":"https://en.wikipedia.org/wiki/Scott_Adams"},{"year":2026,"text":"David Webb, British activist shareholder (born 1965)","url":"https://en.wikipedia.org/wiki/David_Webb_(Hong_Kong_activist)"},{"year":2025,"text":"Oliviero Toscani, Italian photographer (born 1942)","url":"https://en.wikipedia.org/wiki/Oliviero_Toscani"},{"year":2024,"text":"Joyce Randolph, American actress (born 1924)","url":"https://en.wikipedia.org/wiki/Joyce_Randolph"},{"year":2020,"text":"Bryan Monroe, American journalist and educator, (born 1965)","url":"https://en.wikipedia.org/wiki/Bryan_Monroe"},{"year":2020,"text":"Philip Tartaglia, Scottish prelate, Catholic archbishop of Glasgow (born 1951)","url":"https://en.wikipedia.org/wiki/Philip_Tartaglia"},{"year":2019,"text":"Phil Masinga, South African footballer (born 1969)","url":"https://en.wikipedia.org/wiki/Phil_Masinga"},{"year":2017,"text":"Antony Armstrong-Jones, 1st Earl of Snowdon, English photographer and a former member of the British royal family (born 1930)","url":"https://en.wikipedia.org/wiki/Antony_Armstrong-Jones%2C_1st_Earl_of_Snowdon"}]},"census":null,"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."}