SOTAVerified

Neural Network Compression

Papers

Showing 11–20 of 193 papers

TitleStatusHype
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching—0
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior ModelsCode0
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression—0
TropNNC: Structured Neural Network Compression Using Tropical Geometry—0
Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection—0
Convolutional Neural Network Compression Based on Low-Rank Decomposition—0
Condensed Sample-Guided Model Inversion for Knowledge Distillation—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors—0
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models—0
Show:102550
← PrevPage 2 of 20Next →

No leaderboard results yet.