James Seale Smith

48 papers A* 7B 2Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing.
NAACL (Long Papers)
James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025 J jnl
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing.
CoRR
James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025 A* conf
MoDeGPT: Modular Decomposition for Large Language Model Compression.
ICLR
Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025 — conf
MossNet: Mixture of State-Space Experts is a Multi-Head Attention.
IJCNLP-AACL (long papers)
Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin
2025 J jnl
MossNet: Mixture of State-Space Experts is a Multi-Head Attention.
CoRR
Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin
2024 — ed.
AAAI Bridge Program on Continual Causality, 20-21 February 2024, Vancouver, Canada.
AAAI Bridge Program
Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Tyler L. Hayes, Rebecca Herman, Adéle Ribeiro, James Seale Smith
2024 — conf
Adaptive Memory Replay for Continual Learning.
CVPR Workshops
James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
2024 J jnl
Adaptive Memory Replay for Continual Learning.
CoRR
James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
2024 J jnl
Continual Adaptation of Vision Transformers for Federated Learning.
Trans. Mach. Learn. Res.
Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
2024 — conf
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters.
CVPR Workshops
James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
2024 J jnl
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.
Trans. Mach. Learn. Res.
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2024 J jnl
Grounding Descriptions in Images informs Zero-Shot Visual Recognition.
CoRR
Shaunak Halbe, Junjiao Tian, K. J. Joseph, James Seale Smith, Katherine Stevo, Vineeth N. Balasubramanian, Zsolt Kira
2024 — —
Lifelong Machine Learning without Lifelong Data Retention.
James Seale Smith
2024 J jnl
MoDeGPT: Modular Decomposition for Large Language Model Compression.
CoRR
Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2024 — conf
SLiM: Speculative Decoding with Hypothesis Reduction.
NAACL-HLT (Findings)
Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2023 — conf
A Closer Look at Rehearsal-Free Continual Learning.
CVPR Workshops
James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira
2023 — ed.
AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA
AAAI Bridge Program
Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023 A* conf
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning.
CVPR
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2023 A* conf
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning.
CVPR
James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2023 — conf
Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program.
AAAI Bridge Program
Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023 J jnl
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters.
CoRR
James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
2023 J jnl
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.
CoRR
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2023 J jnl
Fast Trainable Projection for Robust Fine-Tuning.
CoRR
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
2023 A* conf
Fast Trainable Projection for Robust Fine-tuning.
NeurIPS
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
2023 A* conf
Going Beyond Nouns With Vision & Language Models Using Synthetic Data.
ICCV
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023 J jnl
Going Beyond Nouns With Vision & Language Models Using Synthetic Data.
CoRR
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023 J jnl
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning.
CoRR
Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
2022 J jnl
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients.
CoRR
Yen-Chang Hsu, James Seale Smith, Yilin Shen, Zsolt Kira, Hongxia Jin
2022 J jnl
A Closer Look at Rehearsal-Free Continual Learning.
CoRR
James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira
2022 J jnl
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning.
CoRR
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
2022 J jnl
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning.
CoRR
James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky
2022 J jnl
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization.
CoRR
Junjiao Tian, James Seale Smith, Zsolt Kira
2022 B conf
Incremental Learning with Differentiable Architecture and Forgetting Search.
IJCNN
James Seale Smith, Zachary Seymour, Han-Pang Chiu
2022 J jnl
Incremental Learning with Differentiable Architecture and Forgetting Search.
CoRR
James Seale Smith, Zachary Seymour, Han-Pang Chiu
2022 J jnl
Lifelong Wandering: A realistic few-shot online continual learning setting.
CoRR
Mayank Lunayach, James Seale Smith, Zsolt Kira
2022 — conf
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoLLAs
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
2022 J jnl
On the Transferability of Visual Features in Generalized Zero-Shot Learning.
CoRR
Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez
2022 — conf
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
AIMLSystems
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
2022 J jnl
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
CoRR
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
2021 A* conf
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning.
ICCV
James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021 J jnl
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning.
CoRR
James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021 B conf
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer.
IJCNN
James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira
2021 J jnl
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer.
CoRR
James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira
2021 A* conf
Unsupervised Progressive Learning and the STAM Architecture.
IJCAI
James Seale Smith, Cameron E. Taylor, Seth Baer, Constantine Dovrolis
2019 J jnl
DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization.
J. Vis.
Bo Wu, James Seale Smith, Bogdan M. Wilamowski, R. M. Nelms
2019 J jnl
Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression.
IEEE Trans. Neural Networks Learn. Syst.
James Seale Smith, Bo Wu, Bogdan M. Wilamowski
2019 J jnl
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies.
CoRR
James Seale Smith, Seth Baer, Zsolt Kira, Constantine Dovrolis
2018 — conf
Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks.
ICAISC (1)
James Seale Smith, Bogdan M. Wilamowski