conftrace_

layer-wise optimization

10 papers

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Co-occurring keywords · papers mentioning both

model compression (4) neural network optimization (3) large language model (2) efficient computing (2) federated learning (2) theoretical loss bound (1) layer selection (1) permutation invariant training (1) dynamic sample dropout (1) limited training data (1)

Papers

AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025 FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 2025 Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach IJCAI 2025 SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget ICLR 2025 FedLF: Layer-Wise Fair Federated Learning AAAI 2024 Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation Interspeech 2023 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 Layerwise Optimization by Gradient Decomposition for Continual Learning CVPR 2021 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019