https://deepai.org/publication/gradient-masked-averaging-for-federated-learning
01/28/22 - Federated learning is an emerging paradigm that permits a large number of clients with heterogeneous data to coordinate learning o...
federated learninggradientmaskedaveragingdeepai
https://openreview.net/forum?id=Jz4mfIpFvs&referrer=%5Bthe%20profile%20of%20Yi%20Zhao%5D(%2Fprofile%3Fid%3D~Yi_Zhao10)
Deep learning (DL) methods have been widely applied to anomaly-based network intrusion detection system (NIDS) to detect malicious traffic. To expand the usage...
federated learningdefensegradientleakagebased
https://deepai.org/publication/lifelong-policy-gradient-learning-of-factored-policies-for-faster-training-without-forgetting
07/14/20 - Policy gradient methods have shown success in learning control policies for high-dimensional dynamical systems. Their biggest down...
policy gradientlifelonglearningfactoredpolicies
https://deepai.org/publication/optimal-stroke-learning-with-policy-gradient-approach-for-robotic-table-tennis
09/07/21 - Learning to play table tennis is a challenging task for robots, due to the variety of the strokes required. Current advances in de...
policy gradientoptimalstrokelearningapproach
https://deepai.org/publication/meta-learning-with-warped-gradient-descent
08/30/19 - A versatile and effective approach to meta-learning is to infer a gradient-based up-date rule directly from data that promotes rap...
meta learninggradient descentwarpeddeepai
https://deepai.org/publication/defense-against-gradient-leakage-attacks-via-learning-to-obscure-data
06/01/22 - Federated learning is considered as an effective privacy-preserving learning mechanism that separates the client's data and model ...
defensegradientleakageattacksvia
https://deepai.org/publication/sort-ing-vqa-models-contrastive-gradient-learning-for-improved-consistency
10/20/20 - Recent research in Visual Question Answering (VQA) has revealed state-of-the-art models to be inconsistent in their understanding ...
gradient learningsortvqamodelscontrastive
https://arxiv.org/abs/2512.15687v1
Abstract page for arXiv paper 2512.15687v1: Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
llmsguideexplorationgradient
https://genially.com/template/gradient-learning-unit/
Jun 30, 2025 - Create striking learning resources with this interactive gradient educational module. Ideal for promoting interactivity in the classroom. Fully customizable...
gradient learningunitgeniallytemplates
https://www.amazon.science/publications/why-do-we-need-large-batch-sizes-in-contrastive-learning-a-gradient-bias-perspective
Contrastive learning (CL) has been the de facto technique for self-supervised representation learning (SSL), with impressive empirical success such as...
contrastive learningneedlargebatchsizes
https://towardsdatascience.com/the-machine-learning-advent-calendar-bonus-2-gradient-descent-variants-in-excel/
Jan 7, 2026 - Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism...
machine learninggradient descentbonusvariants
https://deepai.org/publication/deep-spatial-gradient-and-temporal-depth-learning-for-face-anti-spoofing
03/18/20 - Face anti-spoofing is critical to the security of face recognition systems. Depth supervised learning has been proven as one of th...
spatial gradientdeeptemporaldepthlearning
https://deepai.org/publication/inverse-reinforcement-learning-from-a-gradient-based-learner
07/15/20 - Inverse Reinforcement Learning addresses the problem of inferring an expert's reward function from demonstrations. However, in man...
reinforcement learninginversegradientbasedlearner
https://www.educative.io/courses/deep-learning-pytorch-fundamentals/gradient-descent
Learn how gradient descent optimizes model parameters through iterative updates, using linear regression and Numpy for clear visualization.
machine learning modelsgradient descentunderstanding