main webpage W Topic Computer Science arXiv (Cornell University) Waffling around for Performance: Visual Classification with Random Words and Broad Concepts 2023 The visual classification performance of vision-language models such as CLIP has been shown to benefit from additional semantic knowledge from large language models (LLMs) such as GPT-3. In particular, averaging over LLM-generated class descriptors, e.g. "waf… Article Open Computer Science Open Article Page

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Study of computation Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software). Algorithms and data structures are central to computer science. The theory of computation concerns abstract models of computation and general classes of problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and preventing security vulnerabilities. Computer graphics and computational geometry address the generation of images. Critical Symbolic Virtual Narrative Open Computer Science Open Article Page

Exploring foci of: arXiv (Cornell University) Waffling around for Performance: Visual Classification with Random Words and Broad Concepts 2023 The visual classification performance of vision-language models such as CLIP has been shown to benefit from additional semantic knowledge from large language models (LLMs) such as GPT-3. In particular, averaging over LLM-generated class descriptors, e.g. "waffle, which has a round shape", can notably improve generalization performance. In this work, we critically study this behavior and propose WaffleCLIP, a framework for zero-shot visual classification which simply replaces LLM-generated descriptors with random c… Open Article Page

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Explore Computer Science W Topic Computer Science arXiv (Cornell University) Waffling around for Performance: Visual Classification with Random Words and Broad Concepts 2023 The visual classification performance of vision-language models such as CLIP has been shown to benefit from additional semantic knowledge from large language models (LLMs) such as GPT-3. In particular, averaging over LLM-generated class descriptors, e.g. "waf… Article Critical Symbolic Virtual Narrative Open Computer Science Open Article Page