 ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language
ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 Pruning Neural Networks via Coresets and Convex Geometry: Towards No
AssumptionsNeural Information Processing Systems (NeurIPS), 2022 |
 Trainability Preserving Neural PruningInternational Conference on Learning Representations (ICLR), 2022 Huan Wang Yun Fu |
 Dual Lottery Ticket HypothesisInternational Conference on Learning Representations (ICLR), 2022 |
 UWC: Unit-wise Calibration Towards Rapid Network CompressionBritish Machine Vision Conference (BMVC), 2022 |
 Compressing Neural Networks: Towards Determining the Optimal Layer-wise
DecompositionNeural Information Processing Systems (NeurIPS), 2021 |
 Lost in Pruning: The Effects of Pruning Neural Networks beyond Test
AccuracyConference on Machine Learning and Systems (MLSys), 2021 |
 Neural Network Compression for Noisy Storage DevicesACM Transactions on Embedded Computing Systems (TECS), 2021 |
 Neural Pruning via Growing RegularizationInternational Conference on Learning Representations (ICLR), 2020 |
 Learning explanations that are hard to varyInternational Conference on Learning Representations (ICLR), 2020 |
