タグ検索の該当結果が少ないため、タイトル検索結果を表示しています。
Transformer Memory as a Differentiable Search Index (NeurIPS 2022)
論文紹介: Transformer Memory as a Differentiable Search Index (NeurIPS 2022) この記事は情報検索・検索技術 Advent Calendar 2022 の 16 日目の記事です． この記事では，NeurIPS 2022 に採択された T5 を用いた検索手法に関する Google Research の論文を紹介します．紹介する論文の情報は以下の通りです． タイトル: Transformer Memory as a Differentiable Search Index 著者: Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuste
論文紹介: Differentiable reasoning over a virtual knowledge base
Differentiable reasoning over a virtual knowledge baseの概要を紹介します。Read less
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable programming. This new programming paradigm enables end-to-end differentiation of complex computer programs (including those with control flows and data structures), making gradient-based optimization o
What is wrong with you, Python?!Python is by far the most used language in machine learning, and Google has a ton of machine learning libraries and tools written in it. So, why Swift? What's wrong with Python? To put it bluntly, Python is slow. Also, Python is not great for parallelism. To get around these facts, most machine learning projects run their compute-intensive algorithms via libraries w
GitHub - facebookresearch/shumai: Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight
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Deep learning has seen tremendous success over the past decade in computer vision, machine translation, and gameplay. This success rests in crucial ways on gradient-descent optimization and the ability to learn parameters of a neural network by backpropagating observed errors. However, neural network architectures are growing increasingly sophisticated and diverse, which motivates an emerging ques
GitHub - LukasZahradnik/PyNeuraLogic: PyNeuraLogic lets you use Python to create Differentiable Logic Programs
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Hi Swift community, We have completed a comprehensive proposal for the differentiable programming feature we’ve been incubating over the last 1.5 years. We’ve gone over many iterations on the feature design, and have partially completed the implementation. Now we are ready to start a discussion on Swift Evolution, specifically on upstreaming and standardizing the feature. Since this proposal is ov
Differentiable Digital Signal Processing: Online Supplement
DDSP: Differentiable Digital Signal Processing Online Supplement Overview Differentiable Digital Signal Procressing (DDSP) enables direct integration of classic signal processing elements with end-to-end learning, utilizing strong inductive biases without sacrificing the expressive power of neural networks. This approach enables high-fidelity audio synthesis without the need for large autoregressi
GitHub - yxlllc/DDSP-SVC: Real-time end-to-end singing voice conversion system based on DDSP (Differentiable Digital Signal Processing)
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Differentiable programming has been a hot research topic over the past few years, and not only due to the popularity of machine learning libraries like TensorFlow, PyTorch, and JAX. Many fields apart from machine learning are also finding differentiable programming to be a useful tool for solving many kinds of optimization problems. In computer graphics, differentiable rendering, differentiable ph
DDSP: Differentiable Digital Signal Processing Jan 15, 2020 Jesse Engel jesseengel jesseengel Hanoi Hantrakul lamtharnhantrakul hanoihantrakul Chenjie Gu gcj calbeargu Adam Roberts adarob ada_rob Today, we’re pleased to introduce the Differentiable Digital Signal Processing (DDSP) library. DDSP lets you combine the interpretable structure of classical DSP elements (such as filters, oscillators, re
Book: Alice’s Adventures in a differentiable wonderland
Book: Alice’s Adventures in a differentiable wonderland Neural networks surround us, in the form of large language models, speech transcription systems, molecular discovery algorithms, robotics, and much more. Stripped of anything else, neural networks are compositions of differentiable primitives, and studying them means learning how to program and how to interact with these models, a particular
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The Elements of Differentiable Programming
Swift: Google's bet on differentiable programming
Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Differentiable Programming Mega-Proposal
Differentiable Programming from Scratch
DDSP: Differentiable Digital Signal Processing
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