Robuta

https://openreview.net/forum?id=DxpdovAY8Y Actor-Twin Framework for Task Graph Scheduling | OpenReview Task graph scheduling involves efficiently assigning computational tasks to available processors while ensuring the correctness of the result. As this problem... task graphactortwinframeworkscheduling https://aclanthology.org/2023.findings-acl.210/ Unsupervised Task Graph Generation from Instructional Video Transcripts - ACL Anthology Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee. Findings of the Association for Computational Linguistics: ACL 2023. 2023. task graphinstructional videounsupervisedgenerationtranscripts https://github.com/SUDA-LA/ucca-parser GitHub - SUDA-LA/ucca-parser: [SemEval'19] Code for "HLT@SUDA at SemEval 2019 Task 1: UCCA Graph... [SemEval'19] Code for "HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing" - SUDA-LA/ucca-parser https://aclanthology.org/D18-1360/ Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph... Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018. multi task https://www.mail-archive.com/commits@airflow.apache.org/msg414192.html [I] Inconsistent Task Ordering between grid view and graph view. [airflow] grid viewinconsistenttaskorderinggraph https://deepai.org/publication/eventgraph-at-case-2021-task-1-a-general-graph-based-approach-to-protest-event-extraction EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction | DeepAI Oct 18, 2022 - 10/18/22 - This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an ... https://www.easychair.org/publications/preprint/GZFG Multi-Scale Directed Graph Convolution Neural Network for Node Classification Task convolution neural networkdirected graphnode classificationmultiscale https://mail-archive.com/search?l=commits@airflow.apache.org&q=subject:%22%5C%5BI%5C%5D+Inconsistent+Task+Ordering+between+grid+view+and+graph+view.+%5C%5Bairflow%5C%5D%22&o=newest&f=1 subject:"\[I\] Inconsistent Task Ordering between grid view and graph view. \[airflow\]" grid viewsubjectinconsistenttaskordering https://deepai.org/publication/gratis-deep-learning-graph-representation-with-task-specific-topology-and-multi-dimensional-edge-features GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge... Nov 19, 2022 - 11/19/22 - Graph is powerful for representing various types of real-world data. The topology (edges' presence) and edges' features of a graph... https://mail-archive.com/commits@airflow.apache.org/msg414316.html Re: [I] Inconsistent Task Ordering between grid view and graph view. [airflow] re igrid viewinconsistenttaskordering https://github.com/nkkav/tcfggen GitHub - nkkav/tcfggen: Task control flow graph (TCFG) extraction pass for the Machine-SUIF... Task control flow graph (TCFG) extraction pass for the Machine-SUIF compiler - nkkav/tcfggen https://www.amazon.science/alexa-prize/proceedings/sage-a-multimodal-knowledge-graph-based-conversational-agent-for-complex-task-guidance Sage: A multimodal knowledge graph-based conversational agent for complex task guidance - Amazon... This paper presents Sage, a task-oriented multimodal conversational agent devel- oped for the Alexa Prize TaskBot Challenge 2. Focusing on cooking and DIY... https://deepai.org/publication/functional-task-tree-generation-from-a-knowledge-graph-to-solve-unseen-problems Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems | DeepAI Dec 4, 2021 - 12/04/21 - A major component for developing intelligent and autonomous robots is a suitable knowledge representation, from which a robot can ... https://www.intel.com/content/www/us/en/docs/onetbb/developer-guide-api-reference/2021-10/attach-flow-graph-to-an-arbitrary-task-arena.html Attach Flow Graph to an Arbitrary Task Arena oneTBB is a library that supports scalable parallel programming using standard ISO C++ code. Documentation includes Get Started Guide, Developer Guide, and API... flow graphattacharbitrarytaskarena https://mail-archive.com/commits@airflow.apache.org/msg414280.html Re: [I] Inconsistent Task Ordering between grid view and graph view. [airflow] re igrid viewinconsistenttaskordering https://www.intel.com/content/www/us/en/docs/onetbb/developer-guide-api-reference/2021-11/attach-flow-graph-to-an-arbitrary-task-arena.html Attach Flow Graph to an Arbitrary Task Arena oneTBB is a library that supports scalable parallel programming using standard ISO C++ code. Documentation includes Get Started Guide, Developer Guide, and API... flow graphattacharbitrarytaskarena https://arxiv.org/abs/2010.01086v1 [2010.01086v1] Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus Abstract page for arXiv paper 2010.01086v1: Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus https://www.amazon.science/publications/multi-task-learning-on-heterogeneous-graph-neural-network-for-substitute-recommendation Multi-task learning on heterogeneous graph neural network for substitute recommendation - Amazon... Substitute recommendation in e-commerce has attracted increasing attention in recent years, to help improve customer experience. In this work, we propose a... multi task learninggraph neural network https://aclanthology.org/S16-1186/ CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss - ACL Anthology Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime Carbonell. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016). 2016. https://deepai.org/publication/multi-task-identification-of-entities-relations-and-coreference-for-scientific-knowledge-graph-construction Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph... Aug 29, 2018 - 08/29/18 - We introduce a multi-task setup of identifying and classifying entities, relations, and coreference clusters in scientific article... multi task https://openreview.net/forum?id=m5RYtApKFOg Curvature-informed multi-task learning for graph networks | OpenReview We analyze loss curvature properties of graph neural networks in the multi-output prediction setting to see why multi-task learning approaches can fail. multi task learninggraph networkscurvatureinformedopenreview https://openreview.net/forum?id=_sQ6pLNVHoh Task-Agnostic Graph Explanations | OpenReview Graph Neural Networks (GNNs) have emerged as powerful tools to encode graph-structured data. Due to their broad applications, there is an increasing need to... taskagnosticgraphexplanationsopenreview https://mail-archive.com/commits@airflow.apache.org/msg414769.html Re: [I] Inconsistent Task Ordering between grid view and graph view. [airflow] re igrid viewinconsistenttaskordering https://arxiv.org/abs/2510.12369 [2510.12369] A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation... Abstract page for arXiv paper 2510.12369: A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning