ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.07346
  4. Cited By
Any-Precision Deep Neural Networks
v1v2 (latest)

Any-Precision Deep Neural Networks

AAAI Conference on Artificial Intelligence (AAAI), 2019
17 November 2019
Haichao Yu
Haoxiang Li
Humphrey Shi
Thomas S. Huang
G. Hua
    MQ
ArXiv (abs)PDFHTMLGithub (60★)

Papers citing "Any-Precision Deep Neural Networks"

34 / 34 papers shown
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
Jinhee Kim
Jae Jun An
Kang Eun Jeon
Jong Hwan Ko
MQ
202
0
0
23 Oct 2025
FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks
FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks
Jaemin Kim
Hongjun Um
Sungkyun Kim
Yongjun Park
Jiwon Seo
MQ
146
0
0
03 Oct 2025
Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays
Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays
Kang Eun Jeon
Sangheum Yeon
Jinhee Kim
Hyeonsu Bang
Johnny Rhe
Jong Hwan Ko
53
0
0
21 Aug 2025
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
Bernardo P. Schaeffer
Ricardo M. S. Rosa
Glauco Valle
DiffM
213
0
0
13 Jun 2025
DS-TTS: Zero-Shot Speaker Style Adaptation from Voice Clips via Dynamic Dual-Style Feature Modulation
DS-TTS: Zero-Shot Speaker Style Adaptation from Voice Clips via Dynamic Dual-Style Feature Modulation
Ming Meng
Ziyi Yang
Jian Yang
Zhenjie Su
Yonggui Zhu
Zhaoxin Fan
DiffMVLM
174
3
0
01 Jun 2025
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2025
Qinglin Liu
Shunyuan Zheng
Xiaoqian Lv
Xin Sun
Ru Li
Shengping Zhang
207
0
0
05 Mar 2025
Low-Rank Compression for IMC Arrays
Low-Rank Compression for IMC ArraysDesign, Automation and Test in Europe (DATE), 2025
Kang Eun Jeon
Johnny Rhe
J. Ko
151
1
0
10 Feb 2025
Nearly Lossless Adaptive Bit Switching
Nearly Lossless Adaptive Bit Switching
Haiduo Huang
Zhenhua Liu
Tian Xia
Wenzhe zhao
Pengju Ren
MQ
282
1
0
03 Feb 2025
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient
  and Instant Deployment
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant DeploymentNeural Information Processing Systems (NeurIPS), 2024
Y. Fu
Zhongzhi Yu
Junwei Li
Jiayi Qian
Yongan Zhang
Xiangchi Yuan
Dachuan Shi
Roman Yakunin
Y. Lin
285
7
0
15 Nov 2024
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Progressive Mixed-Precision Decoding for Efficient LLM InferenceInternational Conference on Learning Representations (ICLR), 2024
Hao Mark Chen
Fuwen Tan
Alexandros Kouris
Royson Lee
Hongxiang Fan
Stylianos I. Venieris
MQ
275
8
0
17 Oct 2024
ISQuant: apply squant to the real deployment
ISQuant: apply squant to the real deployment
Dezan Zhao
MQ
196
0
0
05 Jul 2024
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
Yeonhong Park
Jake Hyun
SangLyul Cho
Bonggeun Sim
Jae W. Lee
MQ
310
39
0
16 Feb 2024
Low-Precision Mixed-Computation Models for Inference on Edge
Low-Precision Mixed-Computation Models for Inference on Edge
Seyedarmin Azizi
M. Nazemi
M. Kamal
Massoud Pedram
MQ
226
5
0
03 Dec 2023
EQ-Net: Elastic Quantization Neural Networks
EQ-Net: Elastic Quantization Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2023
Ke Xu
Lei Han
Ye Tian
Shangshang Yang
Xingyi Zhang
MQ
348
18
0
15 Aug 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width
  Network Quantization
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network QuantizationPattern Recognition (Pattern Recogn.), 2023
Mingliang Xu
Yuyao Zhou
Jiayi Ji
Rongrong Ji
MQ
223
7
0
14 May 2023
GradMDM: Adversarial Attack on Dynamic Networks
GradMDM: Adversarial Attack on Dynamic NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jianhong Pan
Lin Geng Foo
Qichen Zheng
Zhipeng Fan
Hossein Rahmani
Qiuhong Ke
Jing Liu
AAML
191
9
0
01 Apr 2023
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
Mobiprox: Supporting Dynamic Approximate Computing on MobilesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Matevz Fabjancic
O. Machidon
Hashim Sharif
Yifan Zhao
Sasa Misailovic
V. Pejović
241
2
0
16 Mar 2023
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosACM Multimedia (ACM MM), 2022
J. Lee
Daniel Rho
J. Ko
Eunbyung Park
275
62
0
23 Dec 2022
Boosted Dynamic Neural Networks
Boosted Dynamic Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
183
15
0
30 Nov 2022
Class-based Quantization for Neural Networks
Class-based Quantization for Neural NetworksDesign, Automation and Test in Europe (DATE), 2022
Wenhao Sun
Grace Li Zhang
Huaxi Gu
Bing Li
Ulf Schlichtmann
MQ
151
10
0
27 Nov 2022
Neural Networks with Quantization Constraints
Neural Networks with Quantization ConstraintsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Ignacio Hounie
Juan Elenter
Alejandro Ribeiro
MQ
152
7
0
27 Oct 2022
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A
  Meta-Learning Approach
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning ApproachEuropean Conference on Computer Vision (ECCV), 2022
Jiseok Youn
Jaehun Song
Hyung-Sin Kim
S. Bahk
MQ
171
10
0
20 Jul 2022
Attention Round for Post-Training Quantization
Attention Round for Post-Training QuantizationNeurocomputing (Neurocomputing), 2022
Huabin Diao
Gongyang Li
Shaoyun Xu
Yuexing Hao
MQ
97
13
0
07 Jul 2022
Computational Complexity Evaluation of Neural Network Applications in
  Signal Processing
Computational Complexity Evaluation of Neural Network Applications in Signal Processing
Pedro J. Freire
S. Srivallapanondh
A. Napoli
Jaroslaw E. Prilepsky
S. Turitsyn
178
1
0
24 Jun 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
DiSparse: Disentangled Sparsification for Multitask Model CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Xing Sun
Ali Hassani
Zinan Lin
Gao Huang
Humphrey Shi
196
25
0
09 Jun 2022
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for
  Zero-Shot Network Quantization
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Mingliang Xu
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
756
90
0
17 Nov 2021
Progressive Transmission and Inference of Deep Learning Models
Progressive Transmission and Inference of Deep Learning Models
Youngsoo Lee
Sangdoo Yun
Yeonghun Kim
Sunghee Choi
124
2
0
03 Oct 2021
Dynamic Network Quantization for Efficient Video Inference
Dynamic Network Quantization for Efficient Video InferenceIEEE International Conference on Computer Vision (ICCV), 2021
Ximeng Sun
Yikang Shen
Chun-Fu Chen
A. Oliva
Rogerio Feris
Kate Saenko
246
52
0
23 Aug 2021
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
BatchQuant: Quantized-for-all Architecture Search with Robust QuantizerNeural Information Processing Systems (NeurIPS), 2021
Haoping Bai
Mengsi Cao
Ping Huang
Jiulong Shan
MQ
214
39
0
19 May 2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap
  Bit-Width Adjustment
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
Qigong Sun
Xiufang Li
Yan Ren
Zhongjian Huang
Xu Liu
L. Jiao
Fang Liu
MQ
119
5
0
04 May 2021
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino
  board using LogNNet reservoir neural network
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network
Y. Izotov
Andrei Velichko
A. Ivshin
R. Novitskiy
161
8
0
20 Apr 2021
Improved Techniques for Quantizing Deep Networks with Adaptive
  Bit-Widths
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-WidthsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Ximeng Sun
Yikang Shen
Chun-Fu Chen
Naigang Wang
Bowen Pan
Bowen Pan Kailash Gopalakrishnan
A. Oliva
Rogerio Feris
Kate Saenko
MQ
309
7
0
02 Mar 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DHAI4TSAI4CE
428
802
0
09 Feb 2021
Agriculture-Vision: A Large Aerial Image Database for Agricultural
  Pattern Analysis
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern AnalysisComputer Vision and Pattern Recognition (CVPR), 2020
M. Chiu
Xingqian Xu
Yunchao Wei
Zilong Huang
Alex Schwing
...
David Wilson
Adrian Tudor
N. Hovakimyan
Thomas S. Huang
Humphrey Shi
237
190
0
05 Jan 2020
1