deep - Moozonian Search

github.com/ayberkuckun/DNN-Fingerprinting

ayberkuckun/DNN-Fingerprinting

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples (⭐ 6)

www.bing.com/ck/a?!&&p=89d4911f0409ce229aad8f80a7a995e02a5cda88985b76b71489ab68609e9d46JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2fb8bb13-a53d-67b2-0a42-ac02a4e9667f&u=a1aHR0cHM6Ly9hcG5ld3MuY29tL2FydGljbGUvdWtyYWluZS13YXItemFsdXpobnlpLXplbGVuc2t5eS1yYWlkLTVmZjllNWUyMDU0ZTBiMTdjMTBkYWY1OGQ3ZWFiNjNl&ntb=1

Ukraine's ex-army chief reveals to AP a rift with Zelenskyy | AP News

Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.

arxiv.org/abs/2308.06587v4

A User-centered Security Evaluation of Copilot

Code generation tools driven by artificial intelligence have recently become more popular due to advancements in deep learning and natural language processing that have increased their capabilities. The proliferation of these tools may be a double-ed...

www.bing.com/ck/a?!&&p=6343a1e604a26d4c8cbddb4d863da8e3c63dd10e795136ef26c783eeb22a9237JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=291074a8-6eb8-6fbb-3f83-63b96fb86ec3&u=a1aHR0cHM6Ly93d3cucmVkZGl0LmNvbS9yL21pY3Jvc29mdC9jb21tZW50cy8xYnVucnhmL215X2RlZXBfZGl2ZV9pbnRvX2NvcGlsb3Rfc3R1ZGlvX21pY3Jvc29mdHNfYWkv&ntb=1

My Deep Dive into CoPilot Studio: Microsoft's AI That's ... - Reddit

Apr 3, 2024 · Hey everyone, I recently spent some time exploring CoPilot Studio, Microsoft's new foray into the AI space, and I'm here to share my experiences and insights with this cutting-edge technology.

arxiv.org/abs/2406.17334v1

Joint Admission Control and Resource Allocation of Virtual Network Embedding via…

As an essential resource management problem in network virtualization, virtual network embedding (VNE) aims to allocate the finite resources of physical network to sequentially arriving virtual network requests (VNRs) with different resource demands....

arxiv.org/abs/2305.12595v1

Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining

Fault-aware retraining has emerged as a prominent technique for mitigating permanent faults in Deep Neural Network (DNN) hardware accelerators. However, retraining leads to huge overheads, specifically when used for fine-tuning large DNNs designed fo...

arxiv.org/abs/1709.01134v1

WRPN: Wide Reduced-Precision Networks

For computer vision applications, prior works have shown the efficacy of reducing numeric precision of model parameters (network weights) in deep neural networks. Activation maps, however, occupy a large memory footprint during both the training and...

arxiv.org/abs/1712.01887v3

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed…

Large-scale distributed training requires significant communication bandwidth for gradient exchange that limits the scalability of multi-node training, and requires expensive high-bandwidth network infrastructure. The situation gets even worse with d...

arxiv.org/abs/1803.06800v1

Computational topology and the Unique Games Conjecture

Covering spaces of graphs have long been useful for studying expanders (as "graph lifts") and unique games (as the "label-extended graph"). In this paper we advocate for the thesis that there is a much deeper relationship between computational topolo...

hacker-recommended-books.vercel.app/category/0/all-time/page/0/0

Show HN: 40k HN comments mentioning books, extracted using deep learning

Points: 1359 | Comments: 273 | Author: tracyhenry

github.com/jshaffer94247/Counting-Fish

jshaffer94247/Counting-Fish

Leveraging neural nets and deep learning to count fish passing through a fish ladder (⭐ 23)

github.com/bnajlis/named_entity_recognition

bnajlis/named_entity_recognition

Online News Named Entity Recognition with Deep Learning and Max Entropy (⭐ 4)

github.com/keras-team/keras-applications

keras-team/keras-applications

Reference implementations of popular deep learning models. (⭐ 2000)

github.com/cpgeier/SantosNet

cpgeier/SantosNet

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV (⭐ 79)

github.com/tsurumeso/vocal-remover

tsurumeso/vocal-remover

Vocal Remover using Deep Neural Networks (⭐ 1743)

arxiv.org/abs/2311.00455v1

Progressive Recurrent Network for Shadow Removal

Single-image shadow removal is a significant task that is still unresolved. Most existing deep learning-based approaches attempt to remove the shadow directly, which can not deal with the shadow well. To handle this issue, we consider removing the sh...

github.com/OmicsML/dance