Self-Paced Learning with Adaptive Deep Visual Embeddings. - Vithursan Thangarasa; Graham W. Taylor (BMVC, 2018)

Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. - Mihir Pendse; Vithursan Thangarasa; Vitaliy Chiley; Ryan Holmdahl; Joel Hestness; Dennis DeCoste (BrainLes@MICCAI (2), 2020)

Enabling Continual Learning with Differentiable Hebbian Plasticity. - Vithursan Thangarasa; Thomas Miconi; Graham W. Taylor (IJCNN, 2020)

RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. - Vitaliy Chiley; Vithursan Thangarasa; Abhay Gupta; Anshul Samar; Joel Hestness; Dennis DeCoste (MLSys, 2023)

SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. - Vithursan Thangarasa; Abhay Gupta; William Marshall; Tianda Li; Kevin Leong; Dennis DeCoste; Sean Lie; Shreyas Saxena (UAI, 2023)

Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. - Shreyas Saxena; Vithursan Thangarasa; Abhay Gupta; Sean Lie (CoRR, 2023)

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. - Vithursan Thangarasa; Mahmoud Salem; Shreyas Saxena; Chen-Yu Leong; Joel Hestness; Sean Lie (ACL (Findings), 2024)

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. - Vithursan Thangarasa; Shreyas Saxena; Abhay Gupta; Sean Lie (ICML, 2024)

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. - Vithursan Thangarasa; Mahmoud Salem; Shreyas Saxena; Kevin Leong; Joel Hestness; Sean Lie (CoRR, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

Self-Data Distillation for Recovering Quality in Pruned Large Language Models. - Vithursan Thangarasa; Ganesh Venkatesh; Nish Sinnadurai; Sean Lie (CoRR, 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade–Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

SD2: Self-Distilled Sparse Drafters. - Mike Lasby; Nish Sinnadurai; Valavan Manohararajah; Sean Lie; Vithursan Thangarasa (CoRR, 2025)

MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models. - Mugilan Ganesan; Shane Segal; Ankur Aggarwal; Nish Sinnadurai; Sean Lie; Vithursan Thangarasa (CoRR, 2025)

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding. - Yunhai Hu; Tianhua Xia; Zining Liu; Rahul Raman; Xingyu Liu; Bo Bao; Eric Sather; Vithursan Thangarasa; Sai Qian Zhang (CoRR, 2025)