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James Seale Smith
James Seale Smith
Samsung Research America
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
J Smith, YC Hsu, J Balloch, Y Shen, H Jin, Z Kira
International Conference on Computer Vision (ICCV), 2021
1562021
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
135*2023
Neural network training with Levenberg–Marquardt and adaptable weight compression
JS Smith, B Wu, BM Wilamowski
IEEE transactions on neural networks and learning systems 30 (2), 580-587, 2018
882018
Continual diffusion: Continual customization of text-to-image diffusion with c-lora
JS Smith, YC Hsu, L Zhang, T Hua, Z Kira, Y Shen, H Jin
Transactions on Machine Learning Research, 2024
502024
Unsupervised progressive learning and the stam architecture
J Smith, C Taylor, S Baer, C Dovrolis
International Joint Conference on Artificial Intelligence (IJCAI), 2019
46*2019
A closer look at rehearsal-free continual learning
JS Smith, J Tian, YC Hsu, Z Kira
CVPR Workshop on Continual Learning in Computer Vision, 2023
372023
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
J Smith, J Balloch, YC Hsu, Z Kira
International Joint Conference on Neural Networks (IJCNN), 2021
352021
Thin-wire antenna design using a novel branching scheme and genetic algorithm optimization
JS Smith, ME Baginski
IEEE Transactions on Antennas and Propagation 67 (5), 2934-2941, 2019
342019
Going beyond nouns with vision & language models using synthetic data
P Cascante-Bonilla, K Shehada, JS Smith, S Doveh, D Kim, R Panda, ...
International Conference on Computer Vision (ICCV), 2023
292023
Discrete cosine transform spectral pooling layers for convolutional neural networks
JS Smith, BM Wilamowski
International Conference on Artificial Intelligence and Soft Computing, 235-246, 2018
162018
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
JS Smith, P Cascante-Bonilla, A Arbelle, D Kim, R Panda, D Cox, D Yang, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
122023
A closer look at knowledge distillation with features, logits, and gradients
YC Hsu, J Smith, Y Shen, Z Kira, H Jin
arXiv preprint arXiv:2203.10163, 2022
72022
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
S Halbe, JS Smith, J Tian, Z Kira
NeurIPS Workshop, 2023
62023
Continual causality: A retrospective of the inaugural aaai-23 bridge program
M Mundt, KW Cooper, DS Dhami, A Ribeiro, JS Smith, A Bellot, T Hayes
AAAI Bridge Program on Continual Causality, 1-10, 2023
42023
Incremental Learning with Differentiable Architecture and Forgetting Search
JS Smith, Z Seymour, HP Chiu
International Joint Conference on Neural Networks (IJCNN), 2022
32022
Fast Trainable Projection for Robust Fine-Tuning
J Tian, YC Liu, JS Smith, Z Kira
Neural Information Processing Systems (NeurIPS), 2023
22023
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
I Sur, Z Daniels, A Rahman, K Faber, GJ Gallardo, TL Hayes, CE Taylor, ...
International Conference on AIML Systems, 2022
22022
Lifelong Wandering: A realistic few-shot online continual learning setting
M Lunayach, J Smith, Z Kira
CVPR Workshop on Continual Learning in Computer Vision, 2022
22022
DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization
B Wu, JS Smith, BM Wilamowski, RM Nelms
Journal of Visualization 22, 341-357, 2019
22019
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
JS Smith, YC Hsu, Z Kira, Y Shen, H Jin
CVPR Workshop, 2024
12024
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