publications
(*) denotes equal contribution.
2023
- Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?In Advances in Neural Information Processing Systems 2023
2022
- Adaptive infinite dropout for noisy and sparse data streamsMachine Learning 2022
- Pruning Deep Equilibrium ModelsICML 2022 Workshop on Sparse Neural Networks 2022
- Auxiliary local variables for improving regularization/prior approach in continual learningIn Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022