Bahram Zonooz
16 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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(16)
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(6)
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Conferences
ICLR (6)
WACV (4)
ICML (3)
NIPS (2)
AAAI (1)
Top co-authors
Keywords
catastrophic forgetting
(4)
continual learning
(4)
neural network
(3)
deep learning
(2)
label noise
(2)
deep neural network
(2)
vision transformer
(1)
semantic segmentation
(1)
unsupervised learning
(1)
probabilistic inference
(1)
knowledge transfer
(1)
knowledge distillation
(1)
monocular depth estimation
(1)
semantic memory
(1)
sparse coding
(1)
structural learning
(1)
adversarial robustness
(1)
out-of-distribution generalization
(1)
neural network optimization
(1)
multi-task learning
(1)
Papers
Semantic Aware Representation Learning for Lifelong Learning
ICLR 2025
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
NIPS 2024
Continual Learning of Unsupervised Monocular Depth From Videos
WACV 2024
The Effectiveness of Random Forgetting for Robust Generalization
ICLR 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
ICLR 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
ICML 2024
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
ICLR 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
ICML 2023
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
ICML 2023
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
NIPS 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
ICLR 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
AAAI 2023
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
ICLR 2022
RGPNet: A Real-Time General Purpose Semantic Segmentation
WACV 2021
Noisy Concurrent Training for Efficient Learning Under Label Noise
WACV 2021
Noise as a Resource for Learning in Knowledge Distillation
WACV 2021