dynamic pruning

SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning AAAI 2026 Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract) AAAI 2026 Context-aware Dynamic Pruning for Speech Foundation Models ICLR 2025 Context-Driven Dynamic Pruning for Large Speech Foundation Models Interspeech 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models CVPR 2025 Earley-Driven Dynamic Pruning for Efficient Structured Decoding ICML 2025 IG-Pruning: Input-Guided Block Pruning for Large Language Models EMNLP 2025 Mixture Compressor for Mixture-of-Experts LLMs Gains More ICLR 2025 Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing ICLR 2025 Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy EMNLP 2024 DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution ACL 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels CVPR 2024 Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval EMNLP 2024 Dynamic Structure Pruning for Compressing CNNs AAAI 2023 Accelerating Learned Sparse Indexes Via Term Impact Decomposition EMNLP 2022 Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning CVPR 2022 Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022 Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction CVPR 2022 Self-Distillation with Meta Learning for Knowledge Graph Completion EMNLP 2022 Manifold Regularized Dynamic Network Pruning CVPR 2021 Channel Gating Neural Networks NeurIPS 2019 Scaling Fine-grained Modularity Clustering for Massive Graphs IJCAI 2019 Runtime Neural Pruning NeurIPS 2017