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https://openreview.net/forum?id=Sklv5iRqYX Multi-Domain Adversarial Learning | OpenReview Adversarial Domain adaptation and Multi-domain learning: a new loss to handle multi- and single-domain classes in the semi-supervised setting. multi domain adversarial learning openreview https://openreview.net/forum?id=lBhRTO2uWf Adversarial Learning for Feature Shift Detection and Correction | OpenReview Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing... adversarial learning shift detection feature correction openreview https://openreview.net/forum?id=BkzXYSkvz Multiple Source Domain Adaptation with Adversarial Learning | OpenReview While domain adaptation has been actively researched in recent years, most theoretical results and algorithms focus on the single-source-single-target... domain adaptation adversarial learning multiple source openreview https://openreview.net/forum?id=B1G9doA9F7 Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation | OpenReview A new cyclic adversarial learning augmented with auxiliary task model which improves domain adaptation performance in low resource supervised and unsupervised... adversarial learning domain adaptation augmented cyclic low https://aclanthology.org/2021.naacl-main.39/ Multi-Adversarial Learning for Cross-Lingual Word Embeddings - ACL Anthology Haozhou Wang, James Henderson, Paola Merlo. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics:... adversarial learning word embeddings multi cross lingual https://aclanthology.org/2020.inlg-1.5/ Controlled Text Generation with Adversarial Learning - ACL Anthology Federico Betti, Giorgia Ramponi, Massimo Piccardi. Proceedings of the 13th International Conference on Natural Language Generation. 2020. text generation adversarial learning controlled acl anthology https://deepai.org/publication/co-regularized-adversarial-learning-for-multi-domain-text-classification Co-Regularized Adversarial Learning for Multi-Domain Text Classification | DeepAI Jan 30, 2022 - 01/30/22 - Multi-domain text classification (MDTC) aims to leverage all available resources from multiple domains to learn a predictive model... adversarial learning multi domain text classification co deepai https://deepai.org/publication/unsupervised-representation-disentanglement-using-cross-domain-features-and-adversarial-learning-in-variational-autoencoder-based-voice-conversion Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in... Jan 22, 2020 - 01/22/20 - An effective approach for voice conversion (VC) is to disentangle linguistic content from other components in the speech signal. T... cross domain adversarial learning unsupervised representation disentanglement https://openreview.net/forum?id=Oyueig10Ed&referrer=%5Bthe%20profile%20of%20Matthieu%20Jonckheere%5D(%2Fprofile%3Fid%3D~Matthieu_Jonckheere2) Policy Optimization via Adv2: Adversarial Learning on Advantage Functions | OpenReview We revisit the reduction of learning in adversarial Markov decision processes [MDPs] to adversarial learning based on $Q$--values; this reduction has been... adversarial learning policy optimization via advantage https://deepai.org/publication/idpl-intra-subdomain-adaptation-adversarial-learning-segmentation-method-based-on-dynamic-pseudo-labels IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo... Oct 7, 2022 - 10/07/22 - Unsupervised domain adaptation(UDA) has been applied to image semantic segmentation to solve the problem of domain offset. However... adversarial learning https://deepai.org/publication/mitigating-unwanted-biases-with-adversarial-learning Mitigating Unwanted Biases with Adversarial Learning | DeepAI Jan 22, 2018 - 01/22/18 - Machine learning is a tool for building models that accurately represent input training data. When undesired biases concerning dem... adversarial learning mitigating unwanted biases deepai https://openreview.net/forum?id=cFDWvu7Xcbv&referrer=%5Bthe%20profile%20of%20Siavash%20Khodadadeh%5D(%2Fprofile%3Fid%3D~Siavash_Khodadadeh1) Automatic Object Recoloring Using Adversarial Learning | OpenReview We propose a novel method for automatic object recoloring based on Generative Adversarial Networks (GANs). The user can simply give commands of the form... adversarial learning automatic object using openreview https://www.scoop.it/topic/multimedium/p/4107774880/2019/05/24/few-shot-adversarial-learning-of-realistic-neural-talking-head-models Few-Shot Adversarial Learning of Realistic Neur... Paper: https://arxiv.org/abs/1905.08233v1 Authors: Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky Abstract: Several recent works hav few shot adversarial learning realistic https://deepai.org/publication/unpaired-adversarial-learning-for-single-image-deraining-with-rain-space-contrastive-constraints Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints |... Sep 7, 2021 - 09/07/21 - Deep learning-based single image deraining (SID) with unpaired information is of immense importance, as relying on paired syntheti... adversarial learning single image https://deepai.org/publication/independent-generative-adversarial-self-imitation-learning-in-cooperative-multiagent-systems Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems |... Sep 25, 2019 - 09/25/19 - Many tasks in practice require the collaboration of multiple agents through reinforcement learning. In general, cooperative multia... imitation learning independent generative adversarial self https://www.umassd.edu/research/research-awards/career-enabling-continual-multi-view-representation-learning-an-adversarial-perspective-1.html Research Awards: CAREER: Enabling Continual Multi-view Representation Learning: An Adversarial... $ 498,970 awarded, sponsored by National Science Foundation research awards multi view representation learning career enabling https://openreview.net/forum?id=7YdafFbhxL&referrer=%5Bthe%20profile%20of%20Yihao%20Sun%5D(%2Fprofile%3Fid%3D~Yihao_Sun1) Provably and Practically Efficient Adversarial Imitation Learning with General Function... As a prominent category of imitation learning methods, adversarial imitation learning (AIL) has garnered significant practical success powered by neural... imitation learning efficient adversarial general function https://deepai.org/publication/towards-characterizing-adversarial-defects-of-deep-learning-software-from-the-lens-of-uncertainty Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty |... Apr 24, 2020 - 04/24/20 - Over the past decade, deep learning (DL) has been successfully applied to many industrial domain-specific tasks. However, the curr... deep learning software https://openreview.net/forum?id=nrksGSRT7kX RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning | OpenReview Adversarial training of the dynamics model to prevent model exploitation in model-based offline RL. adversarial model reinforcement learning rambo rl robust https://arxiv.org/abs/2603.08553v1 [2603.08553v1] Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios Abstract page for arXiv paper 2603.08553v1: Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios 2603 generative adversarial regression gar https://www.crowdstrike.com/en-us/cybersecurity-101/artificial-intelligence/adversarial-ai-and-machine-learning/ Adversarial AI & Machine Learning | CrowdStrike Adversarial AI/ML seeks to inhibit the performance of AI/ML systems by manipulating or misleading them and can occur at any stage of development life cycle. ai machine learning adversarial crowdstrike https://deepai.org/publication/improving-robustness-of-deep-learning-based-knee-mri-segmentation-mixup-and-adversarial-domain-adaptation Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain... Aug 12, 2019 - 08/12/19 - Degeneration of articular cartilage (AC) is actively studied in knee osteoarthritis (OA) research via magnetic resonance imaging (...