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Apr 18, 2013 · The award, named for a tireless advocate for women’s reproductive health recognizes Allen’s decades long commitment to womens’ rights – “a lifelong activist with deep roots in North …
arxiv.org/abs/1705.05278v2
Probability distributions produced by the cross-entropy loss for ordinal classification problems can possess undesired properties. We propose a straightforward technique to constrain discrete ordinal probability distributions to be unimodal via the u...
arxiv.org/abs/1612.00775v2
In this paper, we explore ordinal classification (in the context of deep neural networks) through a simple modification of the squared error loss which not only allows it to not only be sensitive to class ordering, but also allows the possibility of...
arxiv.org/abs/1707.03383v1
Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep...
arxiv.org/abs/2111.12346v1
Deep learning based virtual try-on system has achieved some encouraging progress recently, but there still remain several big challenges that need to be solved, such as trying on arbitrary clothes of all types, trying on the clothes from one category...
arxiv.org/abs/2404.01397v1
Nowadays, users demand for increased personalization of vision systems to localize and identify personal instances of objects (e.g., my dog rather than dog) from a few-shot dataset only. Despite outstanding results of deep networks on classical label...
arxiv.org/abs/2107.11857v1
Attention is an important component of modern deep learning. However, less emphasis has been put on its inverse: ignoring distraction. Our daily lives require us to explicitly avoid giving attention to salient visual features that confound the task w...
www.bing.com/ck/a?!&&p=d003852c3b0faedc60f2c9178aa6c39fea616eab0a3c1e5c0c90503268600daeJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=39102d1d-8c0f-6907-2644-3a0f8d31687d&u=a1aHR0cHM6Ly9iZXN0c2V4cG9zaXRpb25zLmNvbS9kb2dneS1zdHlsZS1wb3NpdGlvbi8&ntb=1
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arxiv.org/abs/2012.03359v1
Given recent advances in deep music source separation, we propose a feature representation method that combines source separation with a state-of-the-art representation learning technique that is suitably repurposed for computer audition (i.e. machin...
www.reddit.com/r/homeassistant/comments/1q6pxkm/show_me_your_dashboards/
I’ve been deep in the Home Assistant rabbit hole for about 3 weeks now — here’s my current mobile dashboard. Never thought I’d fall this quickly down the customization abyss. ? I’m look...
github.com/atulshanbhag/Layerwise-Relevance-Propagation
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers (⭐ 98)
arxiv.org/abs/2210.11895v1
The paper describes a novel approach to Spoken Term Detection (STD) in large spoken archives using deep LSTM networks. The work is based on the previous approach of using Siamese neural networks for STD and naturally extends it to directly localize a...
arxiv.org/abs/1811.04773v1
Do unsupervised methods for learning rich, contextualized token representations obviate the need for explicit modeling of linguistic structure in neural network models for semantic role labeling (SRL)? We address this question by incorporating the ma...
arxiv.org/abs/2209.01191v1
Hail risk assessment is necessary to estimate and reduce damage to crops, orchards, and infrastructure. Also, it helps to estimate and reduce consequent losses for businesses and, particularly, insurance companies. But hail forecasting is challenging...
en.wikipedia.org/wiki/Fran%C3%A7ois_Chollet
Publications. ISBN 9781617296864. Chollet. Chollet, Francois. "Google Cloud BrandVoice: Deep Learning Q&A: What's Coming Next With Francois Chollet". Forbes
arxiv.org/abs/1412.0199v6
The case of fisheries management illustrates how the inherent structural instability of ecosystems can have deep-running policy implications. We contrast ten types of management plans to achieve maximum sustainable yields (MSY) from multiple stocks a...
github.com/marian42/butterflies
? Using deep learning to process images of butterflies from the NHM data portal (⭐ 53)
github.com/huggingface/accelerate
? A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support (⭐ 9532)
arxiv.org/abs/2508.14118v1
Computer methods in medical devices are frequently imperfect and are known to produce errors in clinical or diagnostic tasks. However, when deep learning and data-based approaches yield output that exhibit errors, the devices are frequently said to h...
