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Found 9 papers, 3 papers with code
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices
The matrix composed of basis vectors is referred to as the proxy matrix, and auxiliary variables serve as the coefficients of this linear combination.
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
In this work, we present DualDiff, a dual-branch conditional diffusion model designed to enhance driving scene generation across multiple views and video sequences.
Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition
The proposed re-parameterization approach enables advanced Transformer models to be deployed on resource-constrained IoT devices.
TernaryLLM: Ternarized Large Language Model
The proposed OFF can incorporate semantic information and is insensitive to outliers.
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection
In this paper, we present a light-weight detection transformer, LW-DETR, which outperforms YOLOs for real-time object detection.
HAFFormer: A Hierarchical Attention-Free Framework for Alzheimer's Disease Detection From Spontaneous Speech
Automatically detecting Alzheimer's Disease (AD) from spontaneous speech plays an important role in its early diagnosis.
Soft Threshold Ternary Networks
The latest STTN shows that ResNet-18 with ternary weights and ternary activations achieves up to 68. 2% Top-1 accuracy on ImageNet.
Improving Binary Neural Networks through Fully Utilizing Latent Weights
Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W to help binary training.
Architecture Aware Latency Constrained Sparse Neural Networks
Acceleration of deep neural networks to meet a specific latency constraint is essential for their deployment on mobile devices.
