DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 4,465–4,500 of 14,444 resources
Publication: MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer. Published Jan 26, 2024.
Publication: LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation. Published Jan 20, 2024.
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
[ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers
The official implementation of the NeurIPS 2022 paper Q-ViT.
The official implementation of the ICML 2023 paper OFQ-ViT
[ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
[ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
Publication: Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. Published 2023.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Publication: Efficient Quantization Strategies for Latent Diffusion Models. Published Dec 9, 2023.
Publication: EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models. Published Jan 9, 2024.
Publication: QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. Published Feb 6, 2024.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
Publication: Post-Training Quantization on Diffusion Models. Published 2023.
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Explore this resource at its source website for documentation and current information.
Publication: Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. Published Jul 2, 2023.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Publication: GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. Published Dec 7, 2023.
Publication: Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs. Published Jan 31, 2024.
Publication: Data-Free Quantization via Pseudo-label Filtering. Published 2024.
Electronic proceedings of IJCAI 2024
