← Optimization & Theory
Deep Learning › Optimization & Theory ›

Model Compression

1674 directly classified papers

Papers per year

Papers

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024
Building Variable-Sized Models via Learngene Pool AAAI 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching CVPR 2024
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024
REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024
Look-Up Table Compression for Efficient Image Restoration CVPR 2024
DeepCache: Accelerating Diffusion Models for Free CVPR 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training AAAI 2024
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024
Layer Compression of Deep Networks with Straight Flows AAAI 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation CVPR 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024
Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024
Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance AAAI 2024
How Far Can We Compress Instant-NGP-Based NeRF? CVPR 2024
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation AAAI 2024
Robustness-Guided Image Synthesis for Data-Free Quantization AAAI 2024
Fluctuation-Based Adaptive Structured Pruning for Large Language Models AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift AAAI 2024
Plug-and-Play Diffusion Distillation CVPR 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NIPS 2024