Discriminator-Cooperated Feature Map Distillation for GAN Compression

SMMix: Self-Motivated Image Mixing for Vision Transformers

Exploring Content Relationships for Distilling Efficient GANs

Meta Architecture for Point Cloud Analysis

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training

Sundial-GAN: A Cascade Generative Adversarial Networks Framework for Deciphering Oracle Bone Inscriptions

Searching Lightweight Neural Network for Image Signal Processing

Error controlled actor-critic

Decoupled Sliding Mode Control of Underactuated Nonlinear Systems Using a Fuzzy Brain Emotional Cerebellar Model Control System

A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems

Fuzzy Hybrid Neural Network Control for Uncertainty Nonlinear Systems Based on Enhancement Search Algorithm

Solving Robotic Trajectory Sequential Writing Problem via Learning Character's Structural and Sequential Information

Wavelet CMAC for MIMO uncertain nonlinear systems using a modified social ski-driver algorithm

Learning Best Combination for Efficient N:M Sparsity

Shadow-Aware Dynamic Convolution for Shadow Removal

4-D Memristive Chaotic Systems-Based Audio Secure Communication Using Dual-Function-Link Fuzzy Brain Emotional Controller

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks

Coarse-to-Fine Vision Transformer

Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation

1xN Pattern for Pruning Convolutional Neural Networks

SiMaN: Sign-to-Magnitude Network Binarization

A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems

Neural Architecture Search with Representation Mutual Information

Learning Best Combination for Efficient N:M Sparsity

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks

Fine-grained Data Distribution Alignment for Post-Training Quantization