DUCKQUANT / THE QUANT & AI DIRECTORY
1,058 resources, ranked by in-directory PageRank
Publication: Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model. Published Jun 3, 2019.
Publication: GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. Published May 8, 2020.
Publication: Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. Published Nov 2020.
Publication: TernaryBERT: Distillation-aware Ultra-low Bit BERT. Published Sep 27, 2020.
Publication: KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization. Published Jan 15, 2021.
Publication: Understanding and Overcoming the Challenges of Efficient Transformer Quantization. Published Sep 27, 2021.
Publication: On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. Published Aug 2021.
Publication: BinaryBERT: Pushing the Limit of BERT Quantization. Published Dec 31, 2020.
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.
Explore this resource at its source website for documentation and current information.
Publication: FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. Published Nov 27, 2021.
Publication: Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems. Published Mar 22, 2023.
Publication: Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision. Published Jul 1, 2023.
Publication: PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers. Published Sep 13, 2022.
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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.
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.
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.
