Elahe Arani
Orcid: 0000-0002-0952-7007
According to our database1,
Elahe Arani
authored at least 56 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning.
Trans. Mach. Learn. Res., 2024
Enhancing performance of vision transformers on small datasets through local inductive bias incorporation.
Pattern Recognit., 2024
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning.
CoRR, 2024
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning.
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning.
Trans. Mach. Learn. Res., 2023
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal.
Proceedings of the International Conference on Machine Learning, 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey.
Trans. Mach. Learn. Res., 2022
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage.
CoRR, 2022
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022
SYNERgy between SYNaptic Consolidation and Experience Replay for General Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing.
Proceedings of the Conference on Lifelong Learning Agents, 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Consistency is the Key to Further Mitigating Catastrophic Forgetting in Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach.
Proceedings of the Conference on Lifelong Learning Agents, 2022
2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Practical Auto-calibration for Spatial Scene-understanding from Crowdsourced Dashcamera Videos.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the 24th Euromicro Conference on Digital System Design, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021
2020
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation.
CoRR, 2019