Skill UI

This guide helps transform technically sound machine learning drafts into highly readable, conference-ready papers suitable for ICLR and OpenReview. It emphasizes structuring the core learning-representation insight upfront, clarifying contribution types (method, theory, benchmark), optimizing for public skimming, and providing clear reviewer navigation paths. Use this when ensuring maximum impact and clarity in a challenging academic review environment.

A comprehensive guide detailing the end-to-end annual submission and presentation cycle for the IEEE ICRA conference. It covers critical milestones—from paper deadlines and video attachments to camera-ready submissions—and provides structured backward planning, fallback strategies (RA-L, IROS), and tips for navigating the academic timeline in robotics research.

A comprehensive style guide for structuring and refining robotics research manuscripts for top-tier conferences like ICRA. It dictates moving from technique-speak to task-first narratives, emphasizing figure-first presentation, rigorous quantification of claims, and adhering to strict page budgets to maximize reviewer impact and clarity.

A comprehensive guide for positioning visualization and visual analytics manuscripts for the IEEE Pacific Visualization Symposium (PacificVis). This skill helps authors refine their scope, evidence presentation, and overall narrative to match the unique requirements and review expectations of this top-tier conference. It acts as a fit/framing tool for conference submission strategy, ensuring the work is appropriately targeted for the Asia-Pacific community focus.

A comprehensive project management skill designed for authors planning submissions to major AI conferences (like IJCAI). This guide outlines the critical milestones, dependencies, and risk checkpoints, guiding the team from initial venue fit through abstract registration, full-paper upload, review responses, and final presentation artifact release. It ensures all deadlines and author requirements are met to maximize acceptance chances.

A comprehensive project management guide for navigating the IEEE INFOCOM conference submission cycle. This skill outlines every critical milestone, from initial topic selection and abstract registration through full-paper submission, camera-ready preparation, and final presentation. It emphasizes backward planning around the single annual summer deadline and highlights key risk areas for success.

A comprehensive guide for authors submitting AI/ML papers to the International Conference on Learning Representations (ICLR). It helps authors position the work, optimize framing, assess evidence strength, and ensure the manuscript adheres to the rigorous standards of deep learning and representation learning required for a top-tier, open-review conference.

This skill is a strategic guide for authors submitting to top-tier AI conferences, specifically the International Conference on Principles of Knowledge Representation and Reasoning (KR). It helps users assess manuscript fit, framing, and evidence requirements. It provides deep guidance on the required scope, such as formal semantics, nonmonotonic reasoning, and ontologies, ensuring the paper is positioned correctly within the specialized KR community. Ideal for pre-submission strategy and manuscript re-framing.

A comprehensive guide for authors preparing camera-ready papers for the INTERSPEECH conference. It covers critical steps like de-anonymizing content, ensuring accurate metadata linking (DOI/ISCA Archive), meeting author registration requirements for proceedings inclusion, and planning oral or poster presentations.

A comprehensive project management guide designed for managing high-stakes scientific conference submissions (e.g., INTERSPEECH). It maps the rigorous annual cycle, from initial drafting and submission deadlines to camera-ready production and final conference presentation. The guide outlines specific milestones, roles, risk patterns, and backward planning techniques to ensure timely and high-quality project completion.

A comprehensive guide for revising technical papers, specifically tailored for submission to top-tier robotics conferences like IROS. It teaches how to restructure narratives from 'demo-speak' to quantitative, evidence-based claims, focusing on a task-first opening, integrated system description, and mandatory figure-first presentation within strict page budgets.

This guide outlines the critical steps required after an academic paper has been accepted at a major conference. It details the process of converting an anonymous submission into the final, camera-ready version for publication in the ACM Digital Library. Key steps include de-anonymization (restoring author details, affiliations, and funding), completing ACM rights forms and metadata (ORCIDs, CCS), verifying the final layout integrity after template changes, and confirming presentation obligations.