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parameter (2) scaling law (2) memory layers (1) performance (1) epsilon-shrinking (1) gpu hours (1) weight-shared shrinking (1) latent locality (1) outer product memory matrix (1) token (1)

Papers

Memory Layers at Scale 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 Reward-Guided Speculative Decoding for Efficient LLM Reasoning ICML 2025 SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference ICML 2025 ToMA: Token Merge with Attention for Diffusion Models ICML 2025 DεpS: Delayed ε-Shrinking for Faster Once-For-All Training ECCV 2024 Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module ICML 2024 LookupViT: Compressing visual information to a limited number of tokens ECCV 2024 PAPM: A Physics-aware Proxy Model for Process Systems ICML 2024 Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach ICML 2024