memory reduction

AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction CVPR 2025 A-VL: Adaptive Attention for Large Vision-Language Models AAAI 2025 Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments EMNLP 2025 Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025 Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models ICML 2025 SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget ICLR 2025 FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization COLING 2024 Q-VLM: Post-training Quantization for Large Vision-Language Models NeurIPS 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NeurIPS 2024 Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning ICML 2024 Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients EMNLP 2023 RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise EMNLP 2022 Group Fisher Pruning for Practical Network Compression ICML 2021 Moonshine: Distilling with Cheap Convolutions NeurIPS 2018 Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation CVPR 2018 Large-Scale Learning with Less RAM via Randomization ICML 2013