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NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Y. Hao, Y. Cao, and L. Mou. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2024

ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models

W. Pang, M. Shafieinejad, L. Liu, S. Hazlewood, and X. He. Conference on Neural Information Processing Systems (NeurIPS), 2024

Identifying and Addressing Delusions for Target-Directed Decision-Making

M. Zhao, T. Sylvain, D. Precup, and Y. Bengio. Workshop at Conference on Neural Information Processing System (NeurIPS), 2024

Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models

S. Mahdavi, R. Aoki, K. Tang, and Y. Cao. Conference on Neural Information Processing System (NeurIPS), 2024

Jump Starting Bandits with LLM-Generated Prior Knowledge

P. A. Alamdari, Y. Cao, and K. Wilson. Conference on Empirical Methods in Natural Language Processing, 2024

AdaFlood: Adaptive Flood Regularization

W. Bae, Y. Ren, M. O. Ahmed, F. Tung, D. J. Sutherland, and G. Oliveira. Transactions on Machine Learning Research (TMLR), 2024

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data

J. Wu, K. N. Plataniotis, *L. Z. Liu, *E. Amjadian, and Y. A. Lawryshyn. Special Issue Interpretability, Accountability and Robustness in Machine Learning (Algorithims), 2023

ATOM: Attention Mixer for Efficient Dataset Distillation

*S. Khaki, *A. Sajedi, K. Wang, L. Z. Liu, Y. A. Lawryshyn, and K. N. Plataniotis. Oral presentation at The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

DataDAM: Efficient Dataset Distillation with Attention Matching

*A. Sajedi, *S. Khaki, E. Amjadian, L. Z. Liu, Y. A. Lawryshyn, and K. N. Plataniotis. International Conference in Computer Vision (ICCV), 2023

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation

Y. Wen, B. Shayegh, C. Huang, Y. Cao, and L. Mou. Workshop at International Conference on Machine Learning (ICML), 2024

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics

A. Vani, F. Tung, G. Oliveira, and H. Sharifi. International Conference on Machine Learning (ICML), 2024

Memory Efficient Neural Processes via Constant Memory Attention Block

L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Machine Learning (ICML), 2024