There are plenty of books out there focusing on either teaching algorithmic knowledge (Introduction to Algorithms, Algorithmic Problem Solving, etc) or introducing the interview process and solving ...
Abstract: Low-rank decomposition (LRD) and pruning-based methodologies are usually applied to compress neural networks. When targeting a large compression ratio in one shot, LRD-based methods such as ...
Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...
In this paper, we study the problem of expanding a set of given seed entities into a more complete set by discovering other entities that also belong to the same concept set. A typical example is to ...
Back in 2021, Hannah’s love of all things nerdy collided with her passion for writing — and she hasn’t stopped since. She covers pop culture news, writes reviews, and conducts interviews on just about ...
San Francisco, CA, Dec. 11, 2025 (GLOBE NEWSWIRE) -- UX UI Exchange, a leading publication dedicated to product design, human-centered innovation, and the intersection of technology and user ...
We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...
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