Research graph
References from QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1007/978-3-030-01249-6_16
10.1007/978-3-030-01249-6_16 · External reference
Estimating or propagating gradients through stochastic neurons for conditional computation
2013 · External reference
10.5244/c.26.135
10.5244/c.26.135 · External reference
10.1609/aaai.v34i07.6624
10.1609/aaai.v34i07.6624 · External reference
PACT: Parameterized clipping activation for quantized neural networks
2018 · External reference
10.1109/iccvw.2019.00363
10.1109/iccvw.2019.00363 · External reference
10.1109/icpr48806.2021.9413080
10.1109/icpr48806.2021.9413080 · External reference
FLOPs profiler: Pytorch-profiler
2023 · External reference
10.1109/iccv.2019.00038
10.1109/iccv.2019.00038 · External reference
An image is worth 16 × 16 words: Transformers for image recognition at scale
2021 · External reference
fastmachinelearning/hls4ml
2025 · External reference
10.1201/9781003162810-13
10.1201/9781003162810-13 · External reference
10.1109/tpami.2024.3406556
10.1109/tpami.2024.3406556 · External reference
Second order derivatives for network pruning: Optimal brain surgeon
1993 · External reference
10.1109/icip40778.2020.9190917
10.1109/icip40778.2020.9190917 · External reference
Distilling the knowledge in a neural network
2014 · External reference
What’s the backward-forward FLOP ratio for neural networks?
2026 · External reference
10.1007/978-3-031-20071-7_22
10.1007/978-3-031-20071-7_22 · External reference
Cheeun/CADyQ
2023 · External reference
10.1109/wacv51458.2022.00099
10.1109/wacv51458.2022.00099 · External reference
10.1109/cvpr52733.2024.00255
10.1109/cvpr52733.2024.00255 · External reference
10.1007/978-3-031-72624-8_22
10.1007/978-3-031-72624-8_22 · External reference
10.1109/cvpr.2015.7299156
10.1109/cvpr.2015.7299156 · External reference
Accurate post training quantization with small calibration sets
2021 · External reference
10.1145/3343031.3351084
10.1145/3343031.3351084 · External reference
10.1007/978-3-031-25066-8_5
10.1007/978-3-031-25066-8_5 · External reference
10.1109/icassp39728.2021.9413697
10.1109/icassp39728.2021.9413697 · External reference
FBGEMM: Enabling high-performance low-precision deep learning inference
2021 · External reference
10.1109/cvpr.2016.181
10.1109/cvpr.2016.181 · External reference
Adam: A method for stochastic optimization
2015 · External reference
10.1109/cvpr.2017.19
10.1109/cvpr.2017.19 · External reference
10.1109/tip.2024.3385276
10.1109/tip.2024.3385276 · External reference
10.1007/978-3-030-58586-0_28
10.1007/978-3-030-58586-0_28 · External reference
10.1007/978-3-030-58595-2_34
10.1007/978-3-030-58595-2_34 · External reference
colorjam/PAMS
2023 · External reference
10.1109/iccvw54120.2021.00210
10.1109/iccvw54120.2021.00210 · External reference
10.1109/cvprw.2017.151
10.1109/cvprw.2017.151 · External reference
10.1007/978-3-031-73202-7_25
10.1007/978-3-031-73202-7_25 · External reference
10.1109/tpami.2022.3203009
10.1109/tpami.2022.3203009 · External reference
10.3390/electronics10172176
10.3390/electronics10172176 · External reference
10.52202/079017-2271
10.52202/079017-2271 · External reference
10.1007/978-3-031-73226-3_11
10.1007/978-3-031-73226-3_11 · External reference
10.1109/iccv.2001.937655
10.1109/iccv.2001.937655 · External reference
10.1007/s11042-016-4020-z
10.1007/s11042-016-4020-z · External reference
QONNX: Representing arbitrary-precision quantized neural networks
2022 · External reference
htqin/QuantSR
2023 · External reference
10.52202/075280-2483
10.52202/075280-2483 · External reference
10.1109/tpami.2022.3229689
10.1109/tpami.2022.3229689 · External reference
10.1109/tnnls.2024.3493155
10.1109/tnnls.2024.3493155 · External reference
10.1109/tpami.2024.3428546
10.1109/tpami.2024.3428546 · External reference
10.1109/cvpr52729.2023.00175
10.1109/cvpr52729.2023.00175 · External reference
10.1109/cvprw.2017.149
10.1109/cvprw.2017.149 · External reference
10.1109/cvpr52729.2023.00567
10.1109/cvpr52729.2023.00567 · External reference
10.1145/3020078.3021744
10.1145/3020078.3021744 · External reference
10.1145/3474085.3475227
10.1145/3474085.3475227 · External reference
10.1109/iccv51701.2025.01501
10.1109/iccv51701.2025.01501 · External reference
10.1007/s11263-024-02168-7
10.1007/s11263-024-02168-7 · External reference
Ladder: Enabling efficient Low-Precision deep learning computing through hardware-aware tensor transformation
2024 · External reference
Ladder: Enabling efficient low-precision deep learning computing through hardware-aware tensor transformation
2024 · External reference
10.1609/aaai.v39i8.32843
10.1609/aaai.v39i8.32843 · External reference
10.1109/tip.2003.819861
10.1109/tip.2003.819861 · External reference
Integer quantization for deep learning inference: Principles and empirical evaluation
2020 · External reference
10.52202/079017-2938
10.52202/079017-2938 · External reference
10.1007/978-3-030-58548-8_6
10.1007/978-3-030-58548-8_6 · External reference
10.1109/cvpr52734.2025.02156
10.1109/cvpr52734.2025.02156 · External reference
10.1007/978-3-642-27413-8_47
10.1007/978-3-642-27413-8_47 · External reference
10.1109/cvpr.2018.00337
10.1109/cvpr.2018.00337 · External reference
10.1109/tip.2024.3368959
10.1109/tip.2024.3368959 · External reference
10.1109/cvpr.2018.00344
10.1109/cvpr.2018.00344 · External reference
10.1109/tpami.2020.2968521
10.1109/tpami.2020.2968521 · External reference
Aligned structured sparsity learning for efficient image super-resolution
2021 · External reference
DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients
2016 · External reference
