| 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 | 142 | 2021 |
| 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 | 92* | 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 | 84 | 2018 |
| 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 arXiv preprint arXiv:2304.06027, 2023 | 37 | 2023 |
| Unsupervised progressive learning and the stam architecture J Smith, C Taylor, S Baer, C Dovrolis International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 36* | 2019 |
| 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 | 34 | 2021 |
| 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 | 33 | 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 | 30 | 2023 |
| 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 | 22 | 2023 |
| 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 | 15 | 2018 |
| 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 | 9 | 2023 |
| 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 | 5 | 2022 |
| HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning S Halbe, JS Smith, J Tian, Z Kira NeurIPS Workshop, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| Fast Trainable Projection for Robust Fine-Tuning J Tian, YC Liu, JS Smith, Z Kira Neural Information Processing Systems (NeurIPS), 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2019 |
| Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters JS Smith, YC Hsu, Z Kira, Y Shen, H Jin arXiv preprint arXiv:2311.18763, 2023 | 1 | 2023 |
| On the transferability of visual features in generalized zero-shot learning P Cascante-Bonilla, L Karlinsky, JS Smith, Y Qi, V Ordonez arXiv preprint arXiv:2211.12494, 2022 | 1 | 2022 |
Zsolt KiraAssistant Professor, Georgia Institute of TechnologyVerified email at gatech.edu
