Multimodal Low-rank Bilinear Attention Networks (MLB) have an efficient attention mechanism by low-rank bilinear pooling for visual question-answering tasks. MLB achieves a new state-of-the-art ...

Abstract: In this paper, the author proposes a new transformer model called Hadamard Estimated Attention Transformer or HEAT, that utilizes a low-rank projection of the Hadamard product to approximate ...

Abstract: Numerous research endeavors have employed color selection procedures for a vast array of purposes. Detecting defects in fabrics, calculating the Microbial Community Color Index, analyzing ...

Product labels. They're those little stickers, tags, and wrappers that adorn every packaged product on store shelves. Most of us barely notice them as we toss items into our carts. But make no mistake ...

The best in product reviews for 2025 including tech gadgets, adventure gear, DIY materials, car accessories and tools.

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

HALO is a novel quantization-aware training method for fine-tuning Large Language Models (LLMs) with low-precision matrix multiplications. It integrates Hadamard transformations to mitigate outliers, ...

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