Search Results - coding (algorithmsssics OR (algorithm OR (algorithm OR Algorithmsssicsics)))

Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples by Ferrentino, Enrico, Chiacchio, Pasquale, Russo, Giovanni

Table of Contents: “…, expounds an algorithm recently introduced in Gagliardi and Russo (2021) to synthesize policies from…”
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Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue by Park, Jeiyoon, Jang, Yoonna, Lee, Chanhee, Lim, Heuiseok

Table of Contents: “… postulate there are two salient factors for automatic induction of intents: (1) clustering algorithm…”
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Toward Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks by Meneghello, Francesca, Chen, Cheng, Cordeiro, Carlos, Restuccia, Francesco

Table of Contents: “… to leave the specific sensing algorithms open to implementation. To fill this gap, this article explores…”
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OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification by Shaaban, Mai A., Kashkash, Mariam, Alghfeli, Maryam, Ibrahim, Adham

Table of Contents: “… learning models by leveraging the Bees Algorithm, which is a recent promising swarm intelligence algorithm…”
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Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts by Shi, Jiang-Xin, Wei, Tong, Zhou, Zhi, Shao, Jie-Jing, Han, Xin-Yan, Li, Yu-Feng

Table of Contents: “…. With the observation above, we develop a low-complexity and accurate long-tail learning algorithms LIFT with the goal…”
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Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation by Wang, Fan, Yu, Yi

Table of Contents: “… algorithm. We then examine these estimators with multisource selection and establish their minimax…”
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GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production by Serebryany, Kostya, Kennelly, Chris, Phillips, Mitch, Denton, Matt, Elver, Marco, Potapenko, Alexander, Morehouse, Matt, Tsyrklevich, Vlad, Holler, Christian, Lettner, Julian, Kilzer, David, Brandt, Lander

Table of Contents: “… this problem when they are used, but the existing code bases consisting of billions of lines of C and C…”
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Adaptive mesh refinement in binary black holes simulations by Rashti, Alireza, Bhattacharyya, Maitraya, Radice, David, Daszuta, Boris, Cook, William, Bernuzzi, Sebastiano

Table of Contents: “…We discuss refinement criteria for the Berger-Rigoutsos (block-based) refinement algorithm in our…”
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Sparse is Enough in Fine-tuning Pre-trained Large Language Models by Song, Weixi, Li, Zuchao, Zhang, Lefei, Zhao, Hai, Du, Bo

Table of Contents: “… algorithm, named Sparse Increment Fine-Tuning (SIFT), and validate its effectiveness on a range of tasks…”
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Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training by Chen, Xinyan, Ge, Jiaxin, Zhang, Tianjun, Liu, Jiaming, Zhang, Shanghang

Table of Contents: “… algorithm that aligns images to text through iterative image sampling and prompt relabeling with feedback…”
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Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery by Waxman, Daniel, Butler, Kurt, Djuric, Petar M.

Table of Contents: “… to existing differentiable causal discovery algorithms, \textsc{Dagma-DCE} uses an interpretable measure…”
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RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies by Cheng, Hao, Wen, Qingsong, Liu, Yang, Sun, Liang

Table of Contents: “… propose a simple and efficient algorithm to learn a robust forecasting model. Extensive experiments show…”
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TopoX: A Suite of Python Packages for Machine Learning on Topological Domains by Hajij, Mustafa, Papillon, Mathilde, Frantzen, Florian, Agerberg, Jens, AlJabea, Ibrahem, Ballester, Rubén, Battiloro, Claudio, Bernárdez, Guillermo, Birdal, Tolga, Brent, Aiden, Chin, Peter, Escalera, Sergio, Fiorellino, Simone, Gardaa, Odin Hoff, Gopalakrishnan, Gurusankar, Govil, Devendra, Hoppe, Josef, Karri, Maneel Reddy, Khouja, Jude, Lecha, Manuel, Livesay, Neal, Meißner, Jan, Mukherjee, Soham, Nikitin, Alexander, Papamarkou, Theodore, Prílepok, Jaro, Ramamurthy, Karthikeyan Natesan, Rosen, Paul, Guzmán-Sáenz, Aldo, Salatiello, Alessandro, Samaga, Shreyas N., Scardapane, Simone, Schaub, Michael T., Scofano, Luca, Spinelli, Indro, Telyatnikov, Lev, Truong, Quang, Walters, Robin, Yang, Maosheng, Zaghen, Olga, Zamzmi, Ghada, Zia, Ali, Miolane, Nina

Table of Contents: “… graph-based embedding algorithms such as node2vec; TopoModelX is built on top of PyTorch and offers a…”
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Estimating Barycenters of Distributions with Neural Optimal Transport by Kolesov, Alexander, Mokrov, Petr, Udovichenko, Igor, Gazdieva, Milena, Pammer, Gudmund, Burnaev, Evgeny, Korotin, Alexander

Table of Contents: “… the typical adversarial algorithms leveraging barycenter tasks utilize tri-level optimization and focus mostly…”
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Generative Adversarial Model-Based Optimization via Source Critic Regularization by Yao, Michael S., Zeng, Yimeng, Bastani, Hamsa, Gardner, Jacob, Gee, James C., Bastani, Osbert

Table of Contents: “… is reliable. We propose a computationally tractable algorithm to dynamically adjust the strength…”
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Guided Sketch-Based Program Induction by Search Gradients by Amin, Ahmad Ayaz

Table of Contents: “… algorithm through training. However, contemporary approaches to program induction are not sophisticated…”
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PST-Bench: Tracing and Benchmarking the Source of Publications by Zhang, Fanjin, Cao, Kun, Cen, Yukuo, Yu, Jifan, Yin, Da, Tang, Jie

Table of Contents: “… algorithms can be developed to expand the evolutionary knowledge of science. In this paper, we study…”
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Caltech Aerial RGB-Thermal Dataset in the Wild by Lee, Connor, Anderson, Matthew, Raganathan, Nikhil, Zuo, Xingxing, Do, Kevin, Gkioxari, Georgia, Chung, Soon-Jo

Table of Contents: “… settings in order to drive the development of perception algorithms robust to adverse weather and nighttime…”
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End-To-End Underwater Video Enhancement: Dataset and Model by Du, Dazhao, Li, Enhan, Si, Lingyu, Xu, Fanjiang, Niu, Jianwei

Table of Contents: “… primarily focus on developing image enhancement algorithms to enhance each frame independently. There is a…”
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Generalized Criterion for Identifiability of Additive Noise Models Using Majorization by Dallakyan, Aramayis, Ni, Yang

Table of Contents: “…) distributions. For linear Structural Equation Models, we present a new algorithm that leverages the concept…”
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