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ORCIDJames Seale Smith
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
[b1]James Seale Smith:
Lifelong Machine Learning without Lifelong Data Retention. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [j3]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. 2024 (2024) - [c16]James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CVPR Workshops 2024: 1744-1754 - [c15]James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky:
Adaptive Memory Replay for Continual Learning. CVPR Workshops 2024: 3605-3615 - [c14]Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
SLiM: Speculative Decoding with Hypothesis Reduction. NAACL-HLT (Findings) 2024: 1005-1017 - [i19]James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky:
Adaptive Memory Replay for Continual Learning. CoRR abs/2404.12526 (2024) - [i18]Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu:
MoDeGPT: Modular Decomposition for Large Language Model Compression. CoRR abs/2408.09632 (2024) - 2023
- [c13]Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes:
Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. AAAI Bridge Program 2023: 1-10 - [c12]James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CVPR Workshops 2023: 2410-2420 - [c11]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR 2023: 11909-11919 - [c10]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR 2023: 14994-15004 - [c9]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV 2023: 20098-20108 - [c8]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-tuning. NeurIPS 2023 - [e1]Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes:
AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA. Proceedings of Machine Learning Research 208, PMLR 2023 [contents] - [i17]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim
, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR abs/2303.17590 (2023) - [i16]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR abs/2304.06027 (2023) - [i15]Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira:
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. CoRR abs/2306.09970 (2023) - [i14]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-Tuning. CoRR abs/2310.19182 (2023) - [i13]James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR abs/2311.18763 (2023) - 2022
- [c7]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c6]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c5]James Seale Smith, Zachary Seymour, Han-Pang Chiu:
Incremental Learning with Differentiable Architecture and Forgetting Search. IJCNN 2022: 1-8 - [i12]Yen-Chang Hsu, James Seale Smith, Yilin Shen, Zsolt Kira, Hongxia Jin:
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients. CoRR abs/2203.10163 (2022) - [i11]James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CoRR abs/2203.17269 (2022) - [i10]James Seale Smith, Zachary Seymour, Han-Pang Chiu:
Incremental Learning with Differentiable Architecture and Forgetting Search. CoRR abs/2205.09875 (2022) - [i9]Mayank Lunayach, James Seale Smith, Zsolt Kira:
Lifelong Wandering: A realistic few-shot online continual learning setting. CoRR abs/2206.07932 (2022) - [i8]Junjiao Tian, James Seale Smith, Zsolt Kira:
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. CoRR abs/2209.10537 (2022) - [i7]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR abs/2211.09790 (2022) - [i6]Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez:
On the Transferability of Visual Features in Generalized Zero-Shot Learning. CoRR abs/2211.12494 (2022) - [i5]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR abs/2211.13218 (2022) - [i4]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2021
- [c4]James Seale Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira:
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. ICCV 2021: 9354-9364 - [c3]James Seale Smith, Cameron E. Taylor, Seth Baer, Constantine Dovrolis:
Unsupervised Progressive Learning and the STAM Architecture. IJCAI 2021: 2979-2987 - [c2]James Seale Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira:
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. IJCNN 2021: 1-8 - [i3]James Seale Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira:
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. CoRR abs/2101.09536 (2021) - [i2]James Seale Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira:
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. CoRR abs/2106.09701 (2021)
2010 – 2019
- 2019
- [j2]Bo Wu, James Seale Smith, Bogdan M. Wilamowski, R. M. Nelms:
DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization. J. Vis. 22(2): 341-357 (2019) - [j1]James Seale Smith, Bo Wu, Bogdan M. Wilamowski:
Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression. IEEE Trans. Neural Networks Learn. Syst. 30(2): 580-587 (2019) - [i1]James Seale Smith, Seth Baer, Zsolt Kira, Constantine Dovrolis:
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies. CoRR abs/1904.02021 (2019) - 2018
- [c1]James Seale Smith, Bogdan M. Wilamowski:
Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks. ICAISC (1) 2018: 235-246
Coauthor Index
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last updated on 2024-10-11 18:19 CEST by the dblp team
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