Hello and welcome! This will provide you with an insight into both myself and my work. If you'd like to delve deeper into my professional background, please feel free to connect with me on LinkedIn. ? (⭐ 9)
**Scientists created an exam so broad, challenging and deeply rooted in expert human knowledge that current AI systems consistently fail it. “Humanity’s Last Exam” introduces 2,500 questions ...
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As someone who doesn’t have a great understanding of world politics as a whole, I wanted to more deeply understand the motivations behind Russia’s invasion of Ukraine. I’ve read that Russia sta...
Though beneficial for encouraging the Visual Question Answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text contexts, the existing knowledge VQA datasets are mostly annotated in a...
Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained analysis and even multiple steps of reasoning. In this work, we propose...
Current deep learning approaches in computer vision primarily focus on RGB data sacrificing information. In contrast, RAW images offer richer representation, which is crucial for precise recognition, particularly in challenging conditions like low-li...
Deep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real world blur. Thus far, researchers focus on powerful models to handle the deblurring problem and achie...
This paper presents our MSXF TTS system for Task 3.1 of the Audio Deep Synthesis Detection (ADD) Challenge 2022. We use an end to end text to speech system, and add a constraint loss to the system when training stage. The end to end TTS system is VIT...
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?" (⭐ 968)
FPGAs have distinct advantages as a technology for deploying deep neural networks (DNNs) at the edge. Lookup Table (LUT) based networks, where neurons are directly modeled using LUTs, help maximize this promise of offering ultra-low latency and high...
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Deep operator networks (DeepONets, DONs) offer a distinct advantage over traditional neural networks in their ability to be trained on multi-resolution data. This property becomes especially relevant in real-world scenarios where high-resolution meas...
Hello, I’m installing Morphe for the first time. Great job, team—the YouTube and YouTube Music patches were super easy. However, I also wanted to patch Reddit, which requires diving a bit deeper...
The Spotify Web Player gives listeners access to the world's music, podcasts and audiobooks on a single platform. With deep personalization, powerful curation, and AI features. Find all your favorite …
Aug 23, 2015 · Feeling "deeply unsatisfied" at this state of affairs and trying to analyze the components of such phrases quickly leads us to absurd places (like those jokers who insist the plural of octopus is …
This strategic collaboration brings together Microsoft's cutting-edge technologies, Accenture's extensive global reach and consulting expertise, and Avanade's deep specialization in Microsoft-based solutions.
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