Skill UI

A comprehensive workflow guide for managing the entire academic research cycle of a major conference, such as the Web Conference. It details key milestones, backward planning strategies from abstract deadlines, fallback options (Short Papers, Web4Good), and capacity planning tips to ensure timely and successful submission and publication.

This methodology provides a comprehensive framework for estimating buffered numbers—such as capacity limits, timeframes, or budgets—when making commitments under uncertainty. It guides users to calculate a buffer based on both residual estimation error and the potential cost of failure (breach cost), ensuring resilience against costly underestimation in critical systems or plans.

A comprehensive companion tool for the foundational Deep Learning textbook. It indexes 20 chapters and provides a crucial delta layer, updating core concepts from 2016 to 2026 (e.g., Transformers, Diffusion Models). The tool features four deterministic utilities: a reading-path planner, a training-failure diagnostic, a capacity planner, and a parameter/FLOP calculator. Ideal for students and practitioners who need to study the theory, understand its modern relevance, and translate academic knowledge into actionable engineering decisions.