Publications

Meta Temporal Point Processes

W. Bae, M. O. Ahmed, F. Tung, and G. Oliveira. International Conference on Learning Representations (ICLR), 2023

Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation 

A. Hajimoradlou, L. Pishdad, F. Tung, and M. Karpusha. Workshop at International Conference on Machine Learning (ICML), 2022

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation

Y. Wen, Y. Hao, Y. Cao, and L. Mou. International Conference on Learning Representations (ICLR), 2023

Latent Bottlenecked Attentive Neural Processes

L. Feng, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Learning Representations (ICLR), 2023

Towards Better Selective Classification

L. Feng, M. O. Ahmed, H. Hajimirsadeghi, and A. Abdi. International Conference on Learning Representations (ICLR), 2023

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

M. Amin Shabani, A. Abdi, L. Meng, and T. Sylvain. International Conference on Learning Representations (ICLR), 2023

Efficient Queries Transformer Neural Processes

L. Feng, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022

Gumbel-Softmax Selective Networks

M. Salem, M. O. Ahmed, F. Tung, and G. Oliveira. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022

Training a Vision Transformer from scratch in less than 24 hours with 1 GPU

S. Irandoust, T. Durand, Y. Rakhmangulova, W. Zi, and H. Hajimirsadeghi. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022

TD-GEN: Graph Generation With Tree Decomposition

Hamed Shirzad, H. Hajimirsadeghi, A. Abdi, and G. Mori. International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Y. Gong, G. Mori, and F. Tung. International Conference on Machine Learning (ICML), 2022

Efficient CDF Approximations for Normalizing Flows

C.S. Sastry, A. Lehrmann, M. Brubaker, and A. Radovic. Transactions on Machine Learning Research (TMLR), 2022

Learning And Generalization