Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference | Paper Citation Record

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This paper cites Learned Step Size Quantization.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Learned Step Size Quantization

Reference 1

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This paper cites Ef- fective training of convolutional neural networks with low- bitwidth weights and activations,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Ef- fective training of convolutional neural networks with low- bitwidth weights and activations,

Reference 2

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Observation 2c1403f1-ef5d-45e0-9004-6e41e8b4630e · outbound

This paper cites Cluster- promoting quantization with bit-drop for minimizing net- work quantization loss,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Cluster- promoting quantization with bit-drop for minimizing net- work quantization loss,

Reference 3

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Observation 1c5fd896-d33d-4a13-8799-4efc3d93369b · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 4

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Observation 89a56030-cdbd-4dc1-94f1-e2a0167bf1b3 · outbound

This paper cites Data-free quantization through weight equalization and bias correction,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Data-free quantization through weight equalization and bias correction,

Reference 5

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Observation e0c27305-2a9d-404e-a070-7be9039062a8 · outbound

This paper cites Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Reference 6

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This paper cites Accurate post training quantization with small calibra- tion sets,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Accurate post training quantization with small calibra- tion sets,

Reference 7

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Observation c581bb25-a830-4af4-a641-a331f5e4e420 · outbound

This paper cites Post-training quantization for vision transformer,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Post-training quantization for vision transformer,

Reference 8

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Observation 0475f67b-30fc-4443-97e9-829742ba1e62 · outbound

This paper cites Loss aware post-training quantization,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Loss aware post-training quantization,

Reference 9

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Observation 080915ef-394e-4e00-845d-b555b13a803e · outbound

This paper cites Zeroquant: Efficient and affordable post-training quantization for large-scale transformers,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Zeroquant: Efficient and affordable post-training quantization for large-scale transformers,

Reference 10

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This paper cites Up or down? adaptive rounding for post- training quantization,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Up or down? adaptive rounding for post- training quantization,

Reference 11

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Observation 26777c0e-02f8-4ef8-8aca-08f2bc01fa26 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 12

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This paper cites Awq: Activation- aware weight quantization for on-device llm compression and acceleration,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Awq: Activation- aware weight quantization for on-device llm compression and acceleration,

Reference 13

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Observation d959deeb-80d8-4ca0-9b45-3fab8ec4f7a9 · outbound

This paper cites Q-vlm: Post-training quantization for large vision-language models,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Q-vlm: Post-training quantization for large vision-language models,

Reference 14

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This paper cites Advancing multimodal large language models with quantization-aware scale learning for efficient adaptation,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Advancing multimodal large language models with quantization-aware scale learning for efficient adaptation,

Reference 15

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Observation 71c0371c-cbd3-4427-9d06-8d0ae17c2a4b · outbound

This paper cites Reg-ptq: Regression-specialized post-training quantization for fully quantized object detector,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Reg-ptq: Regression-specialized post-training quantization for fully quantized object detector,

Reference 16

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Observation 246f09ef-fe89-4379-8f6c-7cdabb71c9fb · outbound

This paper cites Ptq4sam: Post- training quantization for segment anything,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Ptq4sam: Post- training quantization for segment anything,

Reference 17

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This paper cites FP8 Formats for Deep Learning.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference FP8 Formats for Deep Learning

Reference 18

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This paper cites Faster Inference of LLMs using FP8 on the Intel Gaudi.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Faster Inference of LLMs using FP8 on the Intel Gaudi

Reference 19

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Observation 838360a2-baa4-4155-99d9-7c9a44345f88 · outbound

This paper cites Fp8 quantization: The power of the expo- nent,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Fp8 quantization: The power of the expo- nent,

Reference 20

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This paper cites An Inquiry into Datacenter TCO for LLM Inference with FP8.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference An Inquiry into Datacenter TCO for LLM Inference with FP8

Reference 21

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This paper cites FP8 versus INT8 for efficient deep learning inference.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference FP8 versus INT8 for efficient deep learning inference

Reference 22

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This paper cites QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

Reference 23

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This paper cites The Super Weight in Large Language Models.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference The Super Weight in Large Language Models

Reference 24

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This paper cites Smoothquant: Accurate and efficient post-training quan- tization for large language models,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Smoothquant: Accurate and efficient post-training quan- tization for large language models,

Reference 25

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This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 26

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This paper cites SqueezeLLM: Dense-and-Sparse Quantization.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference SqueezeLLM: Dense-and-Sparse Quantization

Reference 27

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Observation 3930d6bd-754d-4e32-b8df-b762c1043d1b · outbound

This paper cites Towards accurate post-training quantization for vi- sion transformer,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Towards accurate post-training quantization for vi- sion transformer,

Reference 28

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This paper cites Noisyquant: Noisy bias-enhanced post-training activation quantization for vision transformers,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Noisyquant: Noisy bias-enhanced post-training activation quantization for vision transformers,

Reference 29

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This paper cites Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Reference 30

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This paper cites OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 31

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Half-quadratic quantization of large machine learning models,

Reference 32

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This paper cites Pd-quant: Post-training quantization based on prediction difference metric,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Pd-quant: Post-training quantization based on prediction difference metric,

Reference 33

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This paper cites Pd-quant: Post-training quantization based on prediction difference metric,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Pd-quant: Post-training quantization based on prediction difference metric,

Reference 34

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Optimal brain sur- geon and general network pruning,

Reference 35

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Optimal brain compression: A framework for accurate post-training quantization and prun- ing,

Reference 36

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization,

Reference 37

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference QQQ: Quality Quattuor-Bit Quantization for Large Language Models

Reference 38

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Qlora: Efficient finetuning of quantized llms,

Reference 39

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference SpinQuant: LLM quantization with learned rotations

Reference 40

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Massive Activations in Large Language Models

Reference 41

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This paper cites Mmmu: A massive multi-discipline multimodal understanding and rea- soning benchmark for expert agi,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Mmmu: A massive multi-discipline multimodal understanding and rea- soning benchmark for expert agi,

Reference 42

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Mmbench: Is your multi-modal model an all-around player?

Reference 43

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Observation 3745ee05-ec80-4ae7-a844-0a136a981a5c · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 44

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 45

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Vlmevalkit: An open-source toolkit for evaluating large multi-modality models,

Reference 46

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Observation 4bfbd2ce-a4ad-4242-abdb-26744edb88a7 · outbound

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference The Llama 3 Herd of Models

Reference 48

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Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Pointer Sentinel Mixture Models

Reference 49

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This paper cites Measuring Massive Multitask Language Understanding.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Measuring Massive Multitask Language Understanding

Reference 50

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This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 51

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This paper cites Language models are unsupervised mul- titask learners,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Language models are unsupervised mul- titask learners,

Reference 52

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Observation 200b87c5-d284-4a8d-9322-28264c0cb5e2 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 53

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 54

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This paper cites Reason- ing about physical commonsense in natural language,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Reason- ing about physical commonsense in natural language,

Reference 55

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This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 56

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This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 57

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This paper cites A framework for few-shot language model evaluation,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference A framework for few-shot language model evaluation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:06.476599Z

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Observation 3973de9a-8f95-417c-9b88-ddac976c38c2 · outbound

This paper cites Semantic parsing on Freebase from question-answer pairs,.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Semantic parsing on Freebase from question-answer pairs,

Reference 59

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Observation 82a53ce8-7103-4aba-baf1-5aa3ba9503b1 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 60

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