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NetViews","points":243,"comments":61,"url":"https://www.netviews.app","discussion":"https://news.ycombinator.com/item?id=46955712"},{"title":"Show HN: Rowboat – AI coworker that turns your work into a knowledge graph (OSS)","points":205,"comments":56,"url":"https://github.com/rowboatlabs/rowboat","discussion":"https://news.ycombinator.com/item?id=46962641"}],"research":[{"title":"BERT Learns (and Teaches) Chemistry","abstract":"Modern computational organic chemistry is becoming increasingly data-driven. There remain a large number of important unsolved problems in this area such as product prediction given reactants, drug discovery, and metric-optimized molecule synthesis, but efforts to solve these problems using machine learning have also increased in recent years. In this work, we propose the use of attention to study functional groups a","authors":["Payne, Josh","Srouji, Mario","Yap, Dian Ang","Kosaraju, Vineet"],"url":"https://arxiv.org/abs/2007.16012","arxiv_id":"2007.16012","published":"2026-02-10"},{"title":"Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model","abstract":"TextVQA requires models to read and reason about text in images to answer questions about them. Specifically, models need to incorporate a new modality of text present in the images and reason over it to answer TextVQA questions. In this challenge, we use generative model T5 for TextVQA task. Based on pre-trained checkpoint T5-3B from HuggingFace repository, two other pre-training tasks including masked language mode","authors":["Qiao, Yixuan","Chen, Hao","Wang, Jun","Zhao, Shanshan","Chen, Yihao","Ye, Xianbin"],"url":"https://arxiv.org/abs/2106.15332","arxiv_id":"2106.15332","published":"2026-02-10"},{"title":"Detecting fake accounts through Generative Adversarial Network in online social media","abstract":"Online social media is integral to human life, facilitating messaging, information sharing, and confidential communication while preserving privacy. Platforms like Twitter, Instagram, and Facebook exemplify this phenomenon. However, users face challenges due to network anomalies, often stemming from malicious activities such as identity theft for financial gain or harm. This paper proposes a novel method using user s","authors":["Bordbar, Jinus","Mohammadrezaie, Mohammadreza","Ardalan, Saman","Shiri, Mohammad Ebrahim"],"url":"https://arxiv.org/abs/2210.15657","arxiv_id":"2210.15657","published":"2026-02-10"},{"title":"PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks","abstract":"Spiking Neural Networks (SNNs), regarded as the third generation of neural networks, emulate the brain's information processing with unparalleled biological plausibility compared to traditional neural networks. However, their non-linear, event-driven dynamics pose significant challenges for training, and existing methods often deviate from neuroscientific principles of cortical learning. Drawing inspiration from ","authors":["Wang, Haidong","Xiong, Xiaogang","Lan, Mengting","Chu, Yinghao","Jiang, Zixuan","Santosh, KC"],"url":"https://arxiv.org/abs/2211.15386","arxiv_id":"2211.15386","published":"2026-02-10"},{"title":"Distributed sequential federated learning","abstract":"The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not require centralizing data, is a common approach to preventing heavy data transportation, securing valued data, and protecting personal information protection. Therefore, determining how to aggregate the information obtained from the analys","authors":["Wang, Z. F.","Zhang, X. Y.","Chang, Y-c I."],"url":"https://arxiv.org/abs/2302.00107","arxiv_id":"2302.00107","published":"2026-02-10"},{"title":"Cross-Modal Retrieval for Motion and Text via DropTriple Loss","abstract":"Cross-modal retrieval of image-text and video-text is a prominent research area in computer vision and natural language processing. However, there has been insufficient attention given to cross-modal retrieval between human motion and text, despite its wide-ranging applicability. To address this gap, we utilize a concise yet effective dual-unimodal transformer encoder for tackling this task. Recognizing that overlapp","authors":["Yan, Sheng","Liu, Yang","Wang, Haoqiang","Du, Xin","Liu, Mengyuan","Liu, Hong"],"url":"https://arxiv.org/abs/2305.04195","arxiv_id":"2305.04195","published":"2026-02-10"},{"title":"To transfer or not transfer: Unified transferability metric and analysis","abstract":"In transfer learning, transferability is one of the most fundamental problems, which aims to evaluate the effectiveness of arbitrary transfer tasks. Existing research focuses on classification tasks and neglects domain or task differences. More importantly, there is a lack of research to determine whether to transfer or not. To address these, we propose a new analytical approach and metric, Wasserstein Distance based","authors":["Zhan, Qianshan","Zeng, Xiao-Jun"],"url":"https://arxiv.org/abs/2305.07741","arxiv_id":"2305.07741","published":"2026-02-10"},{"title":"Fast Image-based Neural Relighting with Translucency-Reflection Modeling","abstract":"Image-based lighting (IBL) is a widely used technique that renders objects using a high dynamic range image or environment map. However, aggregating the irradiance at the object's surface is computationally expensive, in particular for non-opaque, translucent materials that require volumetric rendering techniques. In this paper we present a fast neural 3D reconstruction and relighting model that extends volumetri","authors":["Zhu, Shizhan","Saito, Shunsuke","Bozic, Aljaz","Aliaga, Carlos","Darrell, Trevor","Lassner, Christoph"],"url":"https://arxiv.org/abs/2306.09322","arxiv_id":"2306.09322","published":"2026-02-10"},{"title":"Estimating the Value of Evidence-Based Decision Making","abstract":"In an era of data abundance, statistical evidence is increasingly critical for business and policy decisions. Yet, organizations lack empirical tools to assess the value of evidence-based decision making (EBDM), optimize statistical precision, and balance the costs of evidence-gathering strategies against their benefits. To tackle these challenges, this article introduces an empirical framework to estimate the value ","authors":["Abadie, Alberto","Agarwal, Anish","Imbens, Guido","Jia, Siwei","McQueen, James","Stepaniants, Serguei"],"url":"https://arxiv.org/abs/2306.13681","arxiv_id":"2306.13681","published":"2026-02-10"},{"title":"LBL: Logarithmic Barrier Loss Function for One-class Classification","abstract":"One-class classification (OCC) aims to train a classifier only with the target class data and attracts great attention for its strong applicability in real-world application. Despite a lot of advances have been made in OCC, it still lacks the effective OCC loss functions for deep learning. In this paper, a novel logarithmic barrier function based OCC loss (LBL) that assigns large gradients to the margin samples and t","authors":["Jiang, Ziyang","Lin, Peng","Wang, Tianlei"],"url":"https://arxiv.org/abs/2307.10753","arxiv_id":"2307.10753","published":"2026-02-10"},{"title":"Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research","abstract":"X-ray diffraction (XRD) is an essential technique to determine a material's crystal structure in high-throughput experimentation, and has recently been incorporated in artificially intelligent agents in autonomous scientific discovery processes. However, rapid, automated and reliable analysis method of XRD data matching the incoming data rate remains a major challenge. To address these issues, we present CrystalS","authors":["Chang, Ming-Chiang","Ament, Sebastian","Amsler, Maximilian","Sutherland, Duncan R.","Zhou, Lan","Gregoire, John M."],"url":"https://arxiv.org/abs/2308.07897","arxiv_id":"2308.07897","published":"2026-02-10"},{"title":"YaRN: Efficient Context Window Extension of Large Language Models","abstract":"Rotary Position Embeddings (RoPE) have been shown to effectively encode positional information in transformer-based language models. However, these models fail to generalize past the sequence length they were trained on. We present YaRN (Yet another RoPE extensioN method), a compute-efficient method to extend the context window of such models, requiring 10x less tokens and 2.5x less training steps than previous metho","authors":["Peng, Bowen","Quesnelle, Jeffrey","Fan, Honglu","Shippole, Enrico"],"url":"https://arxiv.org/abs/2309.00071","arxiv_id":"2309.00071","published":"2026-02-10"},{"title":"DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing","abstract":"Text-guided image editing faces significant challenges when considering training and inference flexibility. Much literature collects large amounts of annotated image-text pairs to train text-conditioned generative models from scratch, which is expensive and not efficient. After that, some approaches that leverage pre-trained vision-language models have been proposed to avoid data collection, but they are limited by e","authors":["Lyu, Yueming","Zhao, Kang","Peng, Bo","Chen, Huafeng","Jiang, Yue","Zhang, Yingya"],"url":"https://arxiv.org/abs/2310.08785","arxiv_id":"2310.08785","published":"2026-02-10"},{"title":"Cognitive Edge Device (CED) for Real-Time Environmental Monitoring in Aquatic Ecosystems","abstract":"Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed crayfish, the only native crayfish species in Britain. Invasive signal crayfish extensively burrow, causing habitat destruction, erosion of river banks and adverse changes in water quality, while also competing with native species for reso","authors":["Monari, Dennis","Tash, Farhad Fassihi","Bird, Jordan J.","Lotfi, Ahmad","Ihianle, Isibor Kennedy","Yahaya, Salisu Wada"],"url":"https://arxiv.org/abs/2401.06157","arxiv_id":"2401.06157","published":"2026-02-10"},{"title":"A deep implicit-explicit minimizing movement method for option pricing in jump-diffusion models","abstract":"We develop a novel deep learning approach for pricing European basket options written on assets that follow jump-diffusion dynamics. The option pricing problem is formulated as a partial integro-differential equation, which is approximated via a new implicit-explicit minimizing movement time-stepping approach, involving approximation by deep, residual-type Artificial Neural Networks (ANNs) for each time step. The int","authors":["Georgoulis, Emmanuil H.","Papapantoleon, Antonis","Smaragdakis, Costas"],"url":"https://arxiv.org/abs/2401.06740","arxiv_id":"2401.06740","published":"2026-02-10"},{"title":"Determination of efficiency indicators of the stand for intelligent control of manual operations in industrial production","abstract":"Manual operations remain essential in industrial production because of their flexibility and low implementation cost. However, ensuring their quality and monitoring execution in real time remains a challenge, especially under conditions of high variability and human-induced errors. In this paper, we present an AI-based control system for tracking manual assembly and propose a novel methodology to evaluate its overall","authors":["Sergeev, Anton","Minchenkov, Victor","Soldatov, Aleksei"],"url":"https://arxiv.org/abs/2401.10777","arxiv_id":"2401.10777","published":"2026-02-10"},{"title":"Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning","abstract":"We prove a non-asymptotic central limit theorem for vector-valued martingale differences using Stein's method, and use Poisson's equation to extend the result to functions of Markov Chains. We then show that these results can be applied to establish a non-asymptotic central limit theorem for Temporal Difference (TD) learning with averaging.","authors":["Srikant, R."],"url":"https://arxiv.org/abs/2401.15719","arxiv_id":"2401.15719","published":"2026-02-10"},{"title":"TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network","abstract":"This study aims to address the problem of incomplete information in unimodal images for semantic segmentation and object detection tasks. Existing multimodal fusion methods suffer from limited capability in discriminative modeling of multi-scale semantic structures and salient target regions, which further restricts the effective fusion of task-related semantic details and target information across modalities. To tac","authors":["Jie, Yuchan","Xu, Yushen","Li, Xiaosong","Li, Huafeng","Tan, Haishu","Nie, Feiping"],"url":"https://arxiv.org/abs/2402.01212","arxiv_id":"2402.01212","published":"2026-02-10"},{"title":"cmaes: A Simple yet Practical Python Library for CMA-ES","abstract":"The covariance matrix adaptation evolution strategy (CMA-ES) has been highly effective in black-box continuous optimization, as demonstrated by its success in both benchmark problems and various real-world applications. To address the need for an accessible and powerful tool in this domain, we developed cmaes, a simple and practical Python library for CMA-ES. cmaes is characterized by its simplicity, offering intuiti","authors":["Nomura, Masahiro","Shibata, Masashi","Hamano, Ryoki"],"url":"https://arxiv.org/abs/2402.01373","arxiv_id":"2402.01373","published":"2026-02-10"},{"title":"Knowledge-Centric Metacognitive Learning","abstract":"Interactions are central to intelligent reasoning and learning abilities, with the interpretation of abstract knowledge guiding meaningful interaction with objects in the environment. While humans readily adapt to novel situations by leveraging abstract knowledge acquired over time, artificial intelligence systems lack principled mechanisms for incorporating abstract knowledge into learning, leading to fundamental ch","authors":["Kumar, Arun","Schrater, Paul"],"url":"https://arxiv.org/abs/2402.05346","arxiv_id":"2402.05346","published":"2026-02-10"},{"title":"Analysis of singular subspaces under random perturbations","abstract":"We present a comprehensive analysis of singular vector and singular subspace perturbations in the signal-plus-noise matrix model with random Gaussian noise. Assuming a low-rank signal matrix, we extend the Davis-Kahan-Wedin theorem in a fully generalized manner, applicable to any unitarily invariant matrix norm, building on previous results by O'Rourke, Vu, and the author. Our analysis provides fine-grained insig","authors":["Wang, Ke"],"url":"https://arxiv.org/abs/2403.09170","arxiv_id":"2403.09170","published":"2026-02-10"},{"title":"View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV","abstract":"In this paper, we address the challenge of Multi-Object Tracking (MOT) in moving Unmanned Aerial Vehicle (UAV) scenarios, where irregular flight trajectories, such as hovering, turning left/right, and moving up/down, lead to significantly greater complexity compared to fixed-camera MOT. Specifically, changes in the scene background not only render traditional frame-to-frame object IoU association methods ineffective ","authors":["Ji, Deyi","Zhu, Lanyun","Gao, Siqi","Zhu, Qi","Zhao, Yiru","Xu, Peng"],"url":"https://arxiv.org/abs/2403.10830","arxiv_id":"2403.10830","published":"2026-02-10"},{"title":"Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography","abstract":"Advancements in medical imaging AI, particularly in 3D imaging, have been limited due to the scarcity of comprehensive datasets. We introduce CT-RATE, a public dataset that pairs 3D medical images with corresponding textual reports. CT-RATE comprises 25,692 non-contrast 3D chest CT scans from 21,304 unique patients. Each scan is accompanied by its corresponding radiology report. Leveraging CT-RATE, we develop CT-CLIP","authors":["Hamamci, Ibrahim Ethem","Er, Sezgin","Wang, Chenyu","Almas, Furkan","Simsek, Ayse Gulnihan","Esirgun, Sevval Nil"],"url":"https://arxiv.org/abs/2403.17834","arxiv_id":"2403.17834","published":"2026-02-10"},{"title":"Spectral Convolutional Conditional Neural Processes","abstract":"Neural Processes (NPs) are meta-learning models that learn to map sets of observations to approximations of the corresponding posterior predictive distributions. By accommodating variable-sized, unstructured collections of observations and enabling probabilistic predictions at arbitrary query points, NPs provide a flexible framework for modeling functions over continuous domains. Since their introduction, numerous va","authors":["Mohseni, Peiman","Duffield, Nick"],"url":"https://arxiv.org/abs/2404.13182","arxiv_id":"2404.13182","published":"2026-02-10"},{"title":"Robust Hyperbolic Learning with Curvature-Aware Optimization","abstract":"Hyperbolic deep learning has become a growing research direction in computer vision due to the unique properties afforded by the alternate embedding space. The negative curvature and exponentially growing distance metric provide a natural framework for capturing hierarchical relationships between datapoints and allowing for finer separability between their embeddings. However, current hyperbolic learning approaches a","authors":["Bdeir, Ahmad","Burchert, Johannes","Schmidt-Thieme, Lars","Landwehr, Niels"],"url":"https://arxiv.org/abs/2405.13979","arxiv_id":"2405.13979","published":"2026-02-10"}],"history":{"events":[{"year":2009,"text":"The satellites Iridium 33 and Kosmos 2251 destroyed each other in the first accidental hypervelocity collision between two intact satellites in low Earth orbit.","url":"https://en.wikipedia.org/wiki/Iridium_33"},{"year":2008,"text":"The Namdaemun gate in Seoul, the first of South Korea's National Treasures, was severely damaged by arson (damage pictured).","url":"https://en.wikipedia.org/wiki/Namdaemun"},{"year":1996,"text":"Deep Blue defeated Garry Kasparov in a game of chess, the first ever game won by a chess-playing computer against a World Chess Champion under chess tournament conditions.","url":"https://en.wikipedia.org/wiki/Deep_Blue_(chess_computer)"},{"year":1962,"text":"Rudolf Abel, a Soviet spy arrested by the FBI, was exchanged for Francis Gary Powers, the pilot of the CIA spy plane that had been shot down over Soviet airspace two years earlier.","url":"https://en.wikipedia.org/wiki/Rudolf_Abel"},{"year":1962,"text":"The first solo exhibition by Roy Lichtenstein (pictured) opened, including the painting Look Mickey, which featured his first use of Ben Day dots, speech balloons, and comic imagery sourcing.","url":"https://en.wikipedia.org/wiki/Roy_Lichtenstein"},{"year":1941,"text":"In the first airborne operation undertaken by the British military, a small force of paratroopers landed near Calitri, Italy, to destroy an aqueduct.","url":"https://en.wikipedia.org/wiki/Operation_Colossus"},{"year":1940,"text":"Puss Gets the Boot, the first Tom and Jerry cartoon, was released to theaters.","url":"https://en.wikipedia.org/wiki/Puss_Gets_the_Boot"},{"year":1939,"text":"Spanish Civil War: The Nationalists concluded their conquest of Catalonia and sealed the border with France.","url":"https://en.wikipedia.org/wiki/Spanish_Civil_War"},{"year":1936,"text":"Second Italo-Ethiopian War: The Battle of Amba Aradam began, ending nine days later in a decisive tactical victory for Italy and the neutralisation of almost the entire Ethiopian army as a fighting force.","url":"https://en.wikipedia.org/wiki/Second_Italo-Ethiopian_War"},{"year":1930,"text":"The Việt Nam Quốc Dân Đảng launched the failed Yên Bái mutiny in the hope of ending French colonial rule in Vietnam.","url":"https://en.wikipedia.org/wiki/Vi%E1%BB%87t_Nam_Qu%E1%BB%91c_D%C3%A2n_%C4%90%E1%BA%A3ng"},{"year":1919,"text":"The Inter-Allied Women's Conference (delegates pictured) opened as a counterpart to the Paris Peace Conference, marking the first time that women were allowed formal participation in an international treaty negotiation.","url":"https://en.wikipedia.org/wiki/Inter-Allied_Women's_Conference"},{"year":1906,"text":"The Royal Navy battleship HMS Dreadnought was launched, representing such a marked advance in naval technology that her name came to be associated with an entire generation of battleships.","url":"https://en.wikipedia.org/wiki/Royal_Navy"},{"year":1862,"text":"American Civil War: A Union naval flotilla destroyed the bulk of the Confederate Mosquito Fleet in the Battle of Elizabeth City on the Pasquotank River in North Carolina.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1840,"text":"Prince Albert of Saxe-Coburg and Gotha and Queen Victoria married at the Chapel Royal in St James's Palace, London, with Albert being granted the title prince consort.","url":"https://en.wikipedia.org/wiki/Prince_Albert_of_Saxe-Coburg_and_Gotha"},{"year":1814,"text":"War of the Sixth Coalition: A French army led by Napoleon effectively destroyed a small Russian corps commanded by Zakhar Dmitrievich Olsufiev.","url":"https://en.wikipedia.org/wiki/War_of_the_Sixth_Coalition"},{"year":1763,"text":"To end the Seven Years' War, Britain, France and Spain signed the Treaty of Paris, which significantly reduced the size of the French colonial empire and marked the beginning of an extensive period of British dominance outside of Europe.","url":"https://en.wikipedia.org/wiki/Seven_Years'_War"},{"year":1712,"text":"The Huilliche in Chile's Chiloé Archipelago rose up against Spanish encomenderos in revenge for perceived injustices.","url":"https://en.wikipedia.org/wiki/Huilliche_people"},{"year":1355,"text":"A tavern dispute between students of the University of Oxford and townspeople in Oxford became a riot that left about 90 people dead.","url":"https://en.wikipedia.org/wiki/University_of_Oxford"}],"births":[{"year":2009,"text":"Antonio Arena, Italian footballer","url":"https://en.wikipedia.org/wiki/Antonio_Arena"},{"year":2006,"text":"Megan Skiendiel, American singer, dancer and actress","url":"https://en.wikipedia.org/wiki/Megan_Skiendiel"},{"year":2001,"text":"Sergio Camello, Spanish footballer","url":"https://en.wikipedia.org/wiki/Sergio_Camello"},{"year":2000,"text":"María Carlé, Argentine tennis player","url":"https://en.wikipedia.org/wiki/Mar%C3%ADa_Lourdes_Carl%C3%A9"},{"year":2000,"text":"Yara Shahidi, American actress and model","url":"https://en.wikipedia.org/wiki/Yara_Shahidi"},{"year":1999,"text":"Tiffany Espensen, American actress","url":"https://en.wikipedia.org/wiki/Tiffany_Espensen"},{"year":1997,"text":"Josh Jackson, American basketball player","url":"https://en.wikipedia.org/wiki/Josh_Jackson_(basketball)"},{"year":1997,"text":"Lilly King, American swimmer","url":"https://en.wikipedia.org/wiki/Lilly_King"}],"deaths":[{"year":2026,"text":"Jose de Venecia Jr., Filipino politician and journalist, 17th and 21st Speaker of the Philippine House of Representatives (born 1936)","url":"https://en.wikipedia.org/wiki/Jose_de_Venecia_Jr."},{"year":2025,"text":"Peter Tuiasosopo, American football player and actor (born 1963)","url":"https://en.wikipedia.org/wiki/Peter_Tuiasosopo"},{"year":2023,"text":"AKA, South African rapper (born 1988)","url":"https://en.wikipedia.org/wiki/AKA_(rapper)"},{"year":2022,"text":"Olsen Filipaina, New Zealand rugby league player (born 1957)","url":"https://en.wikipedia.org/wiki/Olsen_Filipaina"},{"year":2021,"text":"Larry Flynt, American publisher (born 1942)","url":"https://en.wikipedia.org/wiki/Larry_Flynt"},{"year":2019,"text":"Carmen Argenziano, American actor (born 1943)","url":"https://en.wikipedia.org/wiki/Carmen_Argenziano"},{"year":2019,"text":"Jan-Michael Vincent, American actor (born 1944)","url":"https://en.wikipedia.org/wiki/Jan-Michael_Vincent"},{"year":2017,"text":"Mike Ilitch, American businessman (born 1929)","url":"https://en.wikipedia.org/wiki/Mike_Ilitch"}]},"census":null,"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia 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Every item links to its source."}