Tag
A creator describes how Twitter's algorithm drastically reduces reach after a viral post, with a 85-95% drop in metrics, and asks for transparency on how to recover from this suppression.
This article describes a constant-space linear-time algorithm using a min-priority queue to delete all but the 10 most recent files in a directory, avoiding the O(n) space of sorting all entries.
This paper introduces DOSER, a framework using diffusion models for out-of-distribution detection and selective regularization in offline reinforcement learning. It aims to improve performance on static datasets by distinguishing between beneficial and detrimental OOD actions.
This paper introduces a composite-move Tabu search algorithm for spatial redistricting that improves solution quality and efficiency while preserving contiguity constraints.
An interactive web application designed to visualize the Shunting Yard algorithm, though the provided content suggests the demo may be non-functional.
A single-pass method combines online k-means palette refinement with ordered Bayer dithering, eliminating the separate pixel-mapping step and yielding slight speedups while producing visually interesting results.
An AI coding contest compares Claude and Gemini on a weighted knight's tour problem variant where the cost of each move depends on accumulated load from visited squares.
OpenAI researchers introduce E-MAML and E-RL², two meta-reinforcement learning algorithms designed to improve exploration in tasks where discovering optimal policies requires significant exploration. The work demonstrates these algorithms' effectiveness on novel environments including Krazy World and maze tasks.