network compression

Automatic Channel Pruning by Searching with Structure Embedding for Hash Network AAAI 2026 Neural Differentiation in Deep Networks: A Theoretical Framework for Expressivity and Representational Diversity CVPR 2026 Visual Detector Compression via Location-Aware Discriminant Analysis WACV 2026 Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 Optimizing Neural Network Representations of Boolean Networks ICLR 2025 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 Purified and Unified Steganographic Network CVPR 2024 Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression JMLR 2024 Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks WACV 2023 Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity JMLR 2023 LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time WACV 2023 Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost AAAI 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023 Attentive Fine-Grained Structured Sparsity for Image Restoration CVPR 2022 Data-Efficient Structured Pruning via Submodular Optimization NeurIPS 2022 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 Deep Network Approximation in Terms of Intrinsic Parameters ICML 2022 FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer IJCAI 2022 Neural Parameter Allocation Search ICLR 2022 A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition WACV 2021 CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021 Deformable Butterfly: A Highly Structured and Sparse Linear Transform NeurIPS 2021 Group Fisher Pruning for Practical Network Compression ICML 2021 Interpreting and Disentangling Feature Components of Various Complexity from DNNs ICML 2021 Meta-Learning Sparse Implicit Neural Representations NeurIPS 2021