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Generative Continual Concept Learning

AAAI Conference on Artificial Intelligence (AAAI), 2019

10 June 2019

Papers citing "Generative Continual Concept Learning"

32 / 32 papers shown

Title
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation Mohammad Rostami Dayuan Jian Ruitong Sun 264 1 0 01 Jul 2025
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay Mohammad Rostami CLL 271 4 0 31 Jan 2024
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks Yuliang Cai Mohammad Rostami 314 6 0 27 Jan 2024
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations Serban Stan Mohammad Rostami OOD CLL 241 0 0 02 Jan 2024
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images Navapat Nananukul Hamid Soltanian-zadeh Mohammad Rostami 303 0 0 02 Jan 2024
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 212 5 0 21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023 Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 335 7 0 20 Nov 2023
Robust Internal Representations for Domain GeneralizationThe AI Magazine (AI Mag.), 2023 Mohammad Rostami OOD 138 0 0 27 Sep 2023
Improved Region Proposal Network for Enhanced Few-Shot Object DetectionNeural Networks (Neural Netw.), 2023 Zeyu Shangguan Mohammad Rostami ObjD 227 15 0 15 Aug 2023
Sample-Efficient Learning of Novel Visual Concepts Sarthak Bhagat Simon Stepputtis Joseph Campbell Katia Sycara 195 9 0 15 Jun 2023
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph CompletionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Mehrnoosh Mirtaheri Mohammad Rostami Aram Galstyan CLL 227 6 0 30 May 2023
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models Zizhao Hu Mohammad Rostami DiffM 49 1 0 28 May 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yuliang Cai Jesse Thomason Mohammad Rostami VLM CLL 191 11 0 25 Mar 2023
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Zizhao Hu Mohammad Rostami DRL 131 2 0 22 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 773 1,053 0 31 Jan 2023
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images Serban Stan Mohammad Rostami OOD 237 24 0 02 Nov 2022
Is Multi-Task Learning an Upper Bound for Continual Learning?IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zihao Wu Huy Tran Hamed Pirsiavash Soheil Kolouri SSL CLL 140 6 0 26 Oct 2022
Leveraging Relational Information for Learning Weakly Disentangled RepresentationsIEEE International Joint Conference on Neural Network (IJCNN), 2022 Andrea Valenti D. Bacciu CoGe DRL 139 5 0 20 May 2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations Ali Abbasi Parsa Nooralinejad Vladimir Braverman Hamed Pirsiavash Soheil Kolouri CLL 214 20 0 12 Mar 2022
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual LearningBritish Machine Vision Conference (BMVC), 2021 H. Sahbi Haoming Zhan AI4CE 78 3 0 22 Nov 2021
Employing chunk size adaptation to overcome concept drift Jkedrzej Kozal Filip Guzy Michal Wo'zniak AI4TS 72 4 0 25 Oct 2021
Cognitively Inspired Learning of Incremental Drifting ConceptsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Mohammad Rostami Aram Galstyan CLL 209 17 0 09 Oct 2021
Detection and Continual Learning of Novel Face Presentation AttacksIEEE International Conference on Computer Vision (ICCV), 2021 Mohammad Rostami L. Spinoulas Mohamed E. Hussein Joe Mathai Wael AbdAlmageed CLL AAML 135 45 0 27 Aug 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet ProcessIEEE International Conference on Computer Vision (ICCV), 2021 Fei Ye A. Bors CLL 128 22 0 25 Aug 2021
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation Mohammad Rostami Aram Galstyan 112 9 0 04 Jul 2021
Knowledge Capture and Replay for Continual LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Saisubramaniam Gopalakrishnan Pranshu Ranjan Singh Haytham M. Fayek Savitha Ramasamy Arulmurugan Ambikapathi CLL 176 18 0 12 Dec 2020
Association: Remind Your GAN not to Forget Yi Gu Jie Li Yuting Gao Ruoxin Chen Chentao Wu Feiyang Cai Chao Wang Zirui Zhang CLL 127 1 0 27 Nov 2020
Unsupervised Model Adaptation for Continual Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2020 Serban Stan Mohammad Rostami OOD CLL 187 68 0 26 Sep 2020
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions Mohammad Rostami Aram Galstyan CLL OffRL 256 27 0 01 Jul 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 244 175 0 22 Jun 2020
Zero-Shot Image Classification Using Coupled Dictionary EmbeddingMachine Learning with Applications (MLWA), 2019 Mohammad Rostami Soheil Kolouri Zak Murez Yuri Owekcho Eric Eaton Kuyngnam Kim VLM 151 16 0 10 Jun 2019
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer David Isele Mohammad Rostami Eric Eaton CLL 130 40 0 10 Oct 2017