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pruning (2) flops (2) sparsity (2) low-rank approximation (2) pca (1) sampling direction (1) outer product memory matrix (1) chunks (1) correlation mixing (1) periodicity injection (1)

Papers

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations ICML 2025 Diffusion Sampling Correction via Approximately 10 Parameters ICML 2025 LAuReL: Learned Augmented Residual Layer ICML 2025 Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective ICML 2025 LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers ICML 2025 Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models ICML 2025 Residual Matrix Transformers: Scaling the Size of the Residual Stream ICML 2025 Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision ICML 2025 APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference ICML 2024 Trainable Transformer in Transformer ICML 2024