Similar Items: CO-NAS: Joint Neural Architecture Search for Compression, Quantization, and Edge–Cloud Model Offloading
- High-Efficiency Double SHA-256 Architecture via Expansion–Compression Co-Design
- A Hardware Efficient Joint Compression Framework for Vision Transformers
- Collapse-Aware Clipping for Low-Bit Quantization of Post-Softmax Activations in Vision Transformers
- Edge-Aware Graph Transformer (EdgeGT-Net): A Meta Optimized, Energy Efficient Architecture for Real-Time Multisensor Stress Monitoring in Wearable Electronics
- Non-Coherent Fading With Fluctuating Specular Components and Phase Noise: Capacity and Optimal Signaling Under 1-bit Quantization
- PointCloudCrafter: Tools for Handling, Manipulating and Analyzing of Point Clouds