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What Constitutes Good Contrastive Learning in Time-Series Forecasting?
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
C. Zhang, Q. Yan, L. Meng, and T. Sylvain. Workshop at International Joint Conference on Artificial Intelligence (IJCAI), 2023
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Constant Memory Attention Block
Constant Memory Attention Block
L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. Workshop at International Conference on Machine Learning (ICML), 2023
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DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
E. Rahimian, G. Javadi, F. Tung, and G. Oliveira. Workshop at The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
*M. Kiarash, H. Zhao, M. Zhai, and F. Tung. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
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Meta Temporal Point Processes
Meta Temporal Point Processes
W. Bae, M. O. Ahmed, F. Tung, and G. Oliveira. International Conference on Learning Representations (ICLR), 2023
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Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation
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
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An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
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
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Latent Bottlenecked Attentive Neural Processes
Latent Bottlenecked Attentive Neural Processes
L. Feng, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Learning Representations (ICLR), 2023
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Towards Better Selective Classification
Towards Better Selective Classification
L. Feng, M. O. Ahmed, H. Hajimirsadeghi, and A. Abdi. International Conference on Learning Representations (ICLR), 2023
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Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
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
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Efficient Queries Transformer Neural Processes
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
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Gumbel-Softmax Selective Networks
Gumbel-Softmax Selective Networks
M. Salem, M. O. Ahmed, F. Tung, and G. Oliveira. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022
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