https://arxiv.org/abs/1412.1897?ref=highscalability.com
[1412.1897] Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable...
Abstract page for arXiv paper 1412.1897: Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
deep neural networks
https://research.ucc.ie/en/publications/deep-neural-networks-using-a-single-neuron-folded-in-time-archite/
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated...
deep neural networks
https://openreview.net/forum?id=fdbDDRhPGi
Adversarial Parameter Attack on Deep Neural Networks | OpenReview
The parameter perturbation attack is a safety threat to deep learning, where small parameter perturbations are made such that the attacked network gives wrong...
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https://research.google/pubs/deep-neural-networks-for-youtube-recommendations/
Deep Neural Networks for YouTube Recommendations
deep neural networksfor youtuberecommendations
https://www.amazon.science/code-and-datasets/exploiting-invariance-in-training-deep-neural-networks
Exploiting invariance in training deep neural networks - Amazon Science
Inspired by two basic mechanisms in animal visual systems, we introduce a feature transform technique that imposes invariance properties in the training of...
deep neural networksin trainingexploitingamazonscience
https://www.credly.com/badges/68f523b6-526a-4c4f-b410-a927f4342b0c/public_url
Deep Neural Networks with PyTorch - Credly
This badge earner is able to explain and apply their knowledge of Deep Neural Networks and related machine learning methods. The earner knows how to use Python...
deep neural networkspytorchcredly
https://pubmed.ncbi.nlm.nih.gov/33472071/
Deep neural networks identify signaling mechanisms of ErbB-family drug resistance from a continuous...
It is well known that the development of drug resistance in cancer cells can lead to changes in cell morphology. Here, we describe the use of deep neural...
deep neural networks
https://eric.ed.gov/?id=EJ1280968
ERIC - EJ1280968 - Deep Neural Networks for Collaborative Learning Analytics: Evaluating Team...
Automatic assessment and evaluation of team performance during collaborative tasks is key to the research on learning analytics and computer-supported...
deep neural networkscollaborative learningeric
https://conf.researchr.org/details/nfm-2023/nfm-2023-papers/24/Verifying-Attention-Robustness-of-Deep-Neural-Networks-against-Semantic-Perturbations
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations (NASA Formal...
The widespread use and increasing complexity of mission-critical and safety-critical systems at NASA and in the aerospace industry require advanced techniques...
deep neural networks
https://www.umass.edu/mathematics-statistics/events/konstantinos-spiliopoulos-normalization-effects-deep-neural-networks-and-deep-learning
Konstantinos Spiliopoulos: Normalization effects on deep neural networks and deep learning for...
deep neural networkskonstantinosnormalizationeffects
https://research.nvidia.com/index.php/publication/2016-02_vdnn-virtualized-deep-neural-networks-scalable-memory-efficient-neural-network
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design |...
The most widely used machine learning frameworks require users to carefully tune their memory usage so that the deep neural network (DNN) fits into the DRAM...
deep neural networksvirtualized
https://aclanthology.org/2023.eacl-main.98/
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? - ACL Anthology
Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui. Proceedings of the 17th Conference of the...
deep neural networksarithmetic reasoningcapture
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5070/consistencyaware-multichannel-speech-enhancement-using-deep-neural-networks
Consistency-Aware Multi-Channel Speech Enhancement Using Deep Neural Networks | IEEETV
This paper proposes a deep neural network (DNN)--based multi-channel speech enhancement system in which a DNN is trained to maximize the quality of the...
deep neural networksmulti channelspeech enhancementconsistencyaware
https://wandb.ai/sauravmaheshkar/exploring-bias-and-compression/reports/What-Do-Compressed-Deep-Neural-Networks-Forget---Vmlldzo1NzA0NDY
What Do Compressed Deep Neural Networks Forget?
deep neural networkswhat docompressedforget
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008018
Visual perception of liquids: Insights from deep neural networks | PLOS Computational Biology
Author summary How the brain visually computes the physical properties of complex natural materials is a major open challenge in visual neuroscience. Here, we...
deep neural networksvisual perception
https://pmc.ncbi.nlm.nih.gov/articles/PMC12074318/
Clock Glitch Fault Attacks on Deep Neural Networks and Their Countermeasures - PMC
Recently, deep neural networks (DNNs) have been widely used in various fields, such as autonomous vehicles and smart homes. Since these DNNs can be directly...
deep neural networks
https://brave.com/research/telesparse-practical-privacy-preserving-verification-of-deep-neural-networks/
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks | Brave
Jul 1, 2025 - The Brave browser is a fast, private and secure web browser for PC, Mac and mobile. Download now to enjoy a faster ad-free browsing experience that saves data...
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https://safednn.com/
Safe deep neural networks for autonomous driving vehicles - SafeDNN
Oct 2, 2023 - SafeDNN is highly automated software framework which simplifies testing activities of deep neural networks for autonomous driving vehicles
deep neural networksautonomous driving vehiclessafe
https://www.ias.edu/video/theorydeeplearning/2019/1017-BinYu
Interpreting Deep Neural Networks | Videos | Institute for Advanced Study
Oct 17, 2019 - https://www.ias.edu/math/wtdl
deep neural networksinstitute forinterpretingvideosadvanced
https://archive.org/embed/Redwood_Center_2023_06_14_Eshed_Margalit
Eshed Margalit: Navigating cortical maps with topographic deep neural networks: a unifying...
Talk by Eshed Margalit of Stanford University. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley.Abstract: Virtually all cortical...
deep neural networks
https://www.mcgill.ca/jarislowsky-chair/channels/event/comparing-human-mind-and-deep-neural-networks-intelligence-bounded-rationality-and-epistemic-359943
Comparing the Human Mind and Deep Neural Networks: Intelligence, Bounded Rationality and Epistemic...
Join us at the Institute for Philosophy and the New Humanities at the New School on October 2nd for a keynote presentation by Jocelyn Maclure, the chairholder...
the human minddeep neural networks
https://medicine.yale.edu/internal-medicine/ctra/news-article/systemic-sclerosis-ai-deep-neural-networks/
Assessing Systemic Sclerosis With AI Deep Neural Networks | Clinical and Translational Research...
In a new Yale-led study, researchers used a type of AI technology called deep neural network (DNN) analysis to decipher skin involvement and treatment response
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https://www.ibm.com/think/topics/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks?
AI vs. Machine Learning vs. Deep Learning vs. Neural Networks | IBM
Discover the differences and commonalities of artificial intelligence, machine learning, deep learning and neural networks.
ai vs machine learningdeep neural networksibm
https://antmicro.com/blog/2022/12/benchmarking-dnn-on-nvidia-jetson-agx-orin-with-kenning
Benchmarking Deep Neural Networks on NVIDIA Jetson AGX Orin with Kenning
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https://nij.ojp.gov/library/publications/theory-invertible-and-injective-deep-neural-networks-likelihood-estimation-and
Theory of Invertible and Injective Deep Neural Networks for Likelihood Estimation and Uncertainty...
The author presents a theory of invertible and injective deep neural networks for likelihood estimation and uncertainty quantification.
deep neural networks
https://devm.io/machine-learning/kotlin-deep-neural-network/
Learning and Building Deep Neural Networks with Kotlin
The first article in this series about deep neural network basics offers a unique perspective on the development and application of machine learning (ML) by...
deep neural networkslearningbuildingkotlin
https://experts.illinois.edu/en/publications/the-secret-revealer-generative-model-inversion-attacks-against-de/
The secret revealer: Generative model-inversion attacks against deep neural networks - Illinois...
deep neural networksthe secretgenerative model
https://discuss.pytorch.org/t/jointly-training-two-deep-neural-networks/122304
Jointly training two deep neural networks - audio - PyTorch Forums
May 25, 2021 - Hello, I have two deep neural networks, one for speech enhancement to remove noise from the speech signals and the other network is for intent classification....
deep neural networksjointlytrainingaudiopytorch
https://github.com/richzhang/colorization
GitHub - richzhang/colorization: Automatic colorization using deep neural networks. "Colorful Image...
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016. - richzhang/colorization
deep neural networksgithubcolorizationautomaticusing
https://www.southampton.ac.uk/courses/2027-28/modules/mang2112
Neural Networks, Machine Learning and Deep Learning Applied to Business | MANG2112 | University of...
This course focuses on neural networks, machine learning fundamentals, and deep learning techniques, covering supervised and unsupervised learning,...
neural networksmachine learning