conditional computation

FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid Networks ACL 2026 Polymorphic Universal Transformer ACL 2026 Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025 Spiking Transformer with Experts Mixture NeurIPS 2024 CoLT5: Faster Long-Range Transformers with Conditional Computation EMNLP 2023 Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference NeurIPS 2023 Memorization Capacity of Neural Networks with Conditional Computation ICLR 2023 Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs ICML 2022 Mixture of Attention Heads: Selecting Attention Heads Per Token EMNLP 2022 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition CVPR 2021 FrameExit: Conditional Early Exiting for Efficient Video Recognition CVPR 2021 GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ICLR 2021 Batch-shaping for learning conditional channel gated networks ICLR 2020 Conditional Channel Gated Networks for Task-Aware Continual Learning CVPR 2020 The Tree Ensemble Layer: Differentiability meets Conditional Computation ICML 2020 Adaptive Neural Trees ICML 2019 CondConv: Conditionally Parameterized Convolutions for Efficient Inference NeurIPS 2019 Diversity and Depth in Per-Example Routing Models ICLR 2019 You Look Twice: GaterNet for Dynamic Filter Selection in CNNs CVPR 2019 Conditional-Computation-Based Recurrent Neural Networks for Computationally Efficient Acoustic Modelling Interspeech 2018 Modular Networks: Learning to Decompose Neural Computation NeurIPS 2018 ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks ACML 2018 Revisiting Character-Based Neural Machine Translation with Capacity and Compression EMNLP 2018 SplineNets: Continuous Neural Decision Graphs NeurIPS 2018