model compression

3283 papers

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Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution CVPR 2023

Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation CVPR 2023

Compressing Volumetric Radiance Fields to 1 MB CVPR 2023

PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection CVPR 2023

Masked Wavelet Representation for Compact Neural Radiance Fields CVPR 2023

Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness NIPS 2023

LAB: Learnable Activation Binarizer for Binary Neural Networks WACV 2023

SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023

Knowledge Distillation for High Dimensional Search Index NIPS 2023

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NIPS 2023

Are Straight-Through Gradients and Soft-Thresholding All You Need for Sparse Training? WACV 2023

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study WACV 2023

Deep Model Compression Also Helps Models Capture Ambiguity ACL 2023

Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models ACL 2023

MobileNMT: Enabling Translation in 15MB and 30ms ACL 2023

An Exploratory Study on Model Compression for Text-to-SQL ACL 2023

Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small WACV 2023

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution WACV 2023

Exploiting Network Compressibility and Topology in Zero-Cost NAS AUTOML 2023

Compact Neural Volumetric Video Representations with Dynamic Codebooks NIPS 2023

HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation NIPS 2023

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NIPS 2023

Dynamic Sparsity Is Channel-Level Sparsity Learner NIPS 2023

QuIP: 2-Bit Quantization of Large Language Models With Guarantees NIPS 2023