neural network compression

VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024 2-bit Conformer quantization for automatic speech recognition Interspeech 2023 Adaptive Data-Free Quantization CVPR 2023 A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers ACML 2023 Approximating Two-Layer Feedforward Networks for Efficient Transformers EMNLP 2023 Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023 Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023 Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility JMLR 2023 Dynamic Structure Pruning for Compressing CNNs AAAI 2023 GWQ: Group-Wise Quantization Framework for Neural Networks ACML 2023 How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? ICLR 2023 Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023 MARS: Masked Automatic Ranks Selection in Tensor Decompositions AISTATS 2023 Recasting Self-Attention with Holographic Reduced Representations ICML 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023 spred: Solving L1 Penalty with SGD ICML 2023 Tiny Updater: Towards Efficient Neural Network-Driven Software Updating ICCV 2023 UPSCALE: Unconstrained Channel Pruning ICML 2023 An Information-Theoretic Justification for Model Pruning AISTATS 2022 Are All Linear Regions Created Equal? AISTATS 2022 BiT: Robustly Binarized Multi-distilled Transformer NeurIPS 2022 Data-Efficient Structured Pruning via Submodular Optimization NeurIPS 2022 Knowledge Distillation With the Reused Teacher Classifier CVPR 2022 Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022 Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes ICLR 2022