James Seale Smith

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Normalized Gradient

Top Venues

AAAI Bridge Program

Publications

James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky
Adaptive Memory Replay for Continual Learning. CoRR (2024)
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)
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)
Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. CoRR (2023)
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 (2023)
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)
James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira
A Closer Look at Rehearsal-Free Continual Learning. CVPR Workshops (2023)
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)
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
Fast Trainable Projection for Robust Fine-Tuning. CoRR (2023)
Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
Fast Trainable Projection for Robust Fine-tuning. NeurIPS (2023)
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 (2023)
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)
James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. CoRR (2023)
James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira
A Closer Look at Rehearsal-Free Continual Learning. CoRR (2022)
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 (2022)
James Seale Smith, Zachary Seymour, Han-Pang Chiu
Incremental Learning with Differentiable Architecture and Forgetting Search. CoRR (2022)
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 Piacentino, Jesse Hostetler, Aswin Raghavan
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems (2022)
Junjiao Tian, James Seale Smith, Zsolt Kira
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. CoRR (2022)
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael 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)
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana 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 (2022)
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 (2022)
James Seale Smith, Zachary Seymour, Han-Pang Chiu
Incremental Learning with Differentiable Architecture and Forgetting Search. IJCNN (2022)
Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez
On the Transferability of Visual Features in Generalized Zero-Shot Learning. CoRR (2022)