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CLI tools, utilities, converters, workflow automation, and productivity helpers
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Showing 18,193–18,216 of 47,225 skills
- Retain An Interpretable Predictive Model For Healthcare Using Reverse Time Attention Mechanism**arXiv ID:** 1608.05745 **Authors:** Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas, Andy Schuetz, Walter F. Stewart, Jimeng Sun **Published:** 2016-08-19T21:54:46Z **Abstract:** Accuracy and interpretability are two dominant features of successful predictive models. Typically, a choice must be made in favor of complex black box models such as recurrent neural networks (RNN) for accuracy versus less accurate but more interpretable traditional models such as logistic regression. This tr...Votes: 0GitHub stars: 3
- Multivationbench A Benchmark For Multimodal SequenMultivationBench: A Benchmark for Multimodal Sequential Motivation ReasoningVotes: 0GitHub stars: 3
- Modular Multi Target Tracking Using Lstm Networks**arXiv ID:** 2011.09839 **Authors:** Rishabh Verma, R Rajesh, MS Easwaran **Published:** 2020-11-16T15:58:49Z **Abstract:** The process of association and tracking of sensor detections is a key element in providing situational awareness. When the targets in the scenario are dense and exhibit high maneuverability, Multi-Target Tracking (MTT) becomes a challenging task. The conventional techniques to solve such NP-hard combinatorial optimization problem involves multiple complex models and req...Votes: 0GitHub stars: 3
- Forgetbench Benchmarking Forgetting Dynamics Of LoForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language ModelsVotes: 0GitHub stars: 3
- Fairness In Generative Modeling**arXiv ID:** 2210.03517 **Authors:** Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanael Carraz, Laurent Najman, Markus Wagner **Published:** 2022-10-06T06:53:02Z **Abstract:** We design general-purpose algorithms for addressing fairness issues and mode collapse in generative modeling. More precisely, to design fair algorithms for as many sensitive variables as possible, including variables we might not be aware of, we assume no prior knowledge of sensitive variables: our...Votes: 0GitHub stars: 3
- Episodic Memory Theory For The Mechanistic Interpretation Of Recurrent Neural Networks**arXiv ID:** 2310.02430 **Authors:** Arjun Karuvally, Peter Delmastro, Hava T. Siegelmann **Published:** 2023-10-03T20:52:37Z **Abstract:** Understanding the intricate operations of Recurrent Neural Networks (RNNs) mechanistically is pivotal for advancing their capabilities and applications. In this pursuit, we propose the Episodic Memory Theory (EMT), illustrating that RNNs can be conceptualized as discrete-time analogs of the recently proposed General Sequential Episodic Memory Model. To s...Votes: 0GitHub stars: 3
- Enhancing Physicsinformed Neural Networks With Domainaware Fourier Features Towards Improved Performance And Interpretable Results**arXiv ID:** 2603.02948 **Authors:** Alberto Miño Calero, Luis Salamanca, Konstantinos E. Tatsis **Published:** 2026-03-03T12:55:53Z **Abstract:** Physics-Informed Neural Networks (PINNs) incorporate physics into neural networks by embedding partial differential equations (PDEs) into their loss function. Despite their success in learning the underlying physics, PINN models remain difficult to train and interpret. In this work, a novel modeling approach is proposed, which relies on the use of...Votes: 0GitHub stars: 3
- Aschern At Semeval2020 Task 11 It Takes Three To Tango Roberta Crf And Transfer Learning**arXiv ID:** 2008.02837 **Authors:** Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov **Published:** 2020-08-06T18:45:25Z **Abstract:** We describe our system for SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. We developed ensemble models using RoBERTa-based neural architectures, additional CRF layers, transfer learning between the two subtasks, and advanced post-processing to handle the multi-label nature of the task, the consistency between nested spans, rep...Votes: 0GitHub stars: 3
- Arxiv 2609 10055v1 Ontologyaligner Ontology Aligned Retrieval And Hie**arXiv ID:** 2609.10055v1 **Authors:** Jie Song, Zhichuan Xu, Ziyu Lu, Meng Xiao, Cheng Bi, Yuxin Zhang, Xin Zheng, Xiaoran Li, Qiongfang Cao, Hao Yang, Bairong Shen **URL:** http://arxiv.org/abs/2609.10055v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09853v1 The Era By Eon Benchmark A Generated Enterprise Es**arXiv ID:** 2609.09853v1 **Authors:** Benjamin Gruenbaum, Doron Porat, Assaf Natanzon, Roy Zavida, Chen Dinachi, Or Itzahary **URL:** http://arxiv.org/abs/2609.09853v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09793v1 How Fragile Is Safety Alignment At Frontier Scale**arXiv ID:** 2609.09793v1 **Authors:** Yi Shi, Tanyu Chen, Kai Shen **URL:** http://arxiv.org/abs/2609.09793v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09754v1 Lexagenthallu A Hierarchical Benchmark For Profili**arXiv ID:** 2609.09754v1 **Authors:** Yujin Zhou, Mingxuan Zheng, Chuxue Cao, Huang Yidan, Jiale Chen, Yike Guo, Sirui Han **URL:** http://arxiv.org/abs/2609.09754v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09685v1 Align Hold Experience Alignment For Real Time Hold**arXiv ID:** 2609.09685v1 **Authors:** Zuhao Zhang, Xu Liu, Kai Wan, Zihao Lu, Li Ma, Shuai Li **URL:** http://arxiv.org/abs/2609.09685v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09388v1 Xai Refine An Automated Explanation Knowledge Loop**arXiv ID:** 2609.09388v1 **Authors:** Yang Qiao, Junjie Wu, Deqiang Qiu, James J. Lah, Liang Zhao **URL:** http://arxiv.org/abs/2609.09388v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08947v1 One Cylinder A Benchmark For Graph Based Surrogate**arXiv ID:** 2609.08947v1 **Authors:** Théodore Michel, Antoine Campos, Alban Dujardin, Henry Areiza, Philippe Meliga, Elie Hachem **URL:** http://arxiv.org/abs/2609.08947v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08861v1 Api Benchmark Scores Do Not Reliably Transfer To C**arXiv ID:** 2609.08861v1 **Authors:** Jennifer Wang, Joachim Baumann, Daniel E. Ho, Sanmi Koyejo **URL:** http://arxiv.org/abs/2609.08861v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08765v1 Benchmark Scores Are Pipeline Dependent A Reliabil**arXiv ID:** 2609.08765v1 **Authors:** Aymene Berriche, Cathrine Shalby, Mohannad Alhanahnah, Yazan Boshmaf **URL:** http://arxiv.org/abs/2609.08765v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08275v1 Beyond Coherence Benchmarking Professional Editing**arXiv ID:** 2609.08275v1 **Authors:** Tianyi Zeng, Junchao Liao, Yujie Wei, Ziying Zhang, Litao Li, Tianyi Wang, Zhichao Wei, Shuyao Xu, Wenwen Qiang, Siyu Zhu, Zhenghao Zhang, Long Qin **URL:** http://arxiv.org/abs/2609.08275v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 04194v1 Legibility Is Not Interpretability Comparing Judge**arXiv ID:** 2609.04194v1 **Authors:** Kevin Du, Alexander Hoyle, Laura Ruis, Acyr Locatelli **URL:** http://arxiv.org/abs/2609.04194v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 04022v1 Representational Alignment Yields Generalizable Sa**arXiv ID:** 2609.04022v1 **Authors:** Lingyu Li, Yan Teng, Yingchun Wang, Xia Hu **URL:** http://arxiv.org/abs/2609.04022v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 04021v1 Fly Eval An Evidence Driven Evaluation Protocol Fo**arXiv ID:** 2609.04021v1 **Authors:** Yalun Wu, Junfeng Fang, Jiawei Wang, Haotian Liu, Qijun Yang, Minghan Yang, Hongcheng Guo, Zhoujun Li, Boyang Wang **URL:** http://arxiv.org/abs/2609.04021v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 04007v1 Robustseiz An Open Source Framework For Benchmarki**arXiv ID:** 2609.04007v1 **Authors:** Mohammad Mohammadi, Alireza Zarei **URL:** http://arxiv.org/abs/2609.04007v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 03507v1 Longcounsel 8 A Benchmark Suite For Longitudinal D**arXiv ID:** 2609.03507v1 **Authors:** Jiayi Li, Zhaomin Wu, Bingsheng He **URL:** http://arxiv.org/abs/2609.03507v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 03355v1 Alra Adaptive Local Relational Alignment For Logit**arXiv ID:** 2609.03355v1 **Authors:** Quang Hoang Trung, Quang Huu Hieu, Nguyen Van Hoang Phuc, Vo Nguyen Le Duy **URL:** http://arxiv.org/abs/2609.03355v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3