USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks | Paper Citation Record

Observation 1559e362-1df4-4853-af35-681a03cc1205 · outbound

This paper cites Automatically designing cnn architectures using the genetic algorithm for image classification.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Automatically designing cnn architectures using the genetic algorithm for image classification

Reference 1

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Observation 352619f1-0dd8-4e52-896c-62bb0e8ad528 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Fully convolutional networks for semantic segmentation

Reference 2

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Observation 157997bc-37d3-47e3-bd55-d30fa457b00d · outbound

This paper cites Efficient b-mode ultrasound image reconstruction from sub-sampled rf data using deep learning.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Efficient b-mode ultrasound image reconstruction from sub-sampled rf data using deep learning

Reference 3

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Observation d8d7a2d8-401a-4469-aca0-f2a67f0af1e4 · outbound

This paper cites Afp-src: identification of antifreeze proteins using sparse representation classifier.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Afp-src: identification of antifreeze proteins using sparse representation classifier

Reference 4

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Observation 23ce562d-bde3-437b-b66b-9703df5d03d3 · outbound

This paper cites Citisen: A deep learning-based speech signal-processing mobile application.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Citisen: A deep learning-based speech signal-processing mobile application

Reference 5

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Observation 1f88e1ce-0566-47fa-89a8-98902f08c2fb · outbound

This paper cites Dnnoff: offloading dnn-based intelligent iot applications in mobile edge computing.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Dnnoff: offloading dnn-based intelligent iot applications in mobile edge computing

Reference 6

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Observation dd7f5811-f9a6-4506-9bef-24eb6bbebeb6 · outbound

This paper cites Intermittent-aware neural network pruning.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Intermittent-aware neural network pruning

Reference 7

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Observation 8bb568aa-c901-4c0f-a510-1b7bd7bffa37 · outbound

This paper cites Non-uniform step size quantization for accurate post-training quantization.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Non-uniform step size quantization for accurate post-training quantization

Reference 8

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Observation d619aca3-765b-4fd9-86cc-07c016f8e0f6 · outbound

This paper cites Adapt: Fast emulation of approximate dnn accelerators in pytorch.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Adapt: Fast emulation of approximate dnn accelerators in pytorch.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022

Reference 9

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Observation fcf4c5ce-a340-45f6-aac0-0369fe0cb08f · outbound

This paper cites A 1.93 tops/w scalable deep learning/inference processor with tetra-parallel mimd architecture for big data applications.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks A 1.93 tops/w scalable deep learning/inference processor with tetra-parallel mimd architecture for big data applications

Reference 10

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Observation bfd66cea-e5e4-458c-b67f-eb8f993b042b · outbound

This paper cites Shidiannao: Shifting vision processing closer to the sensor.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Shidiannao: Shifting vision processing closer to the sensor

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.598811Z

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Observation e5dbc001-909e-4b48-8f40-c1b58ee708c6 · outbound

This paper cites Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.583775Z

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Observation 4d63b41e-4e37-4f1f-960b-8bc128f409c0 · outbound

This paper cites Stripes: Bit-serial deep neural network computing.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Stripes: Bit-serial deep neural network computing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.568793Z

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Observation 9a0fe5c2-c1ed-4c9c-b32f-ed7b02c3df06 · outbound

This paper cites Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.553420Z

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Observation 57e9ad89-19bd-4b6f-be79-df38ae6870c6 · outbound

This paper cites Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.535778Z

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Observation a45a3168-5cac-4f0c-96d2-0fb8d678de64 · outbound

This paper cites Compreend: Computation pruning through predictive early negative detection for relu in a deep neural network accelerator.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Compreend: Computation pruning through predictive early negative detection for relu in a deep neural network accelerator

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.518262Z

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Observation 6fb3c784-f17d-42eb-ab71-7627e1cc01de · outbound

This paper cites Snapea: Predictive early activation for reducing computation in deep convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Snapea: Predictive early activation for reducing computation in deep convolutional neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.498078Z

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Observation f1aa44bf-541a-410b-b156-f452dfb24adf · outbound

This paper cites Compend: Computation pruning through early negative detection for relu in a deep neural network accelerator.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Compend: Computation pruning through early negative detection for relu in a deep neural network accelerator

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.480815Z

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Observation 1c40b011-a477-418d-bebe-b35bb5882b39 · outbound

This paper cites Comprrae: Rram-based convolutional neural network accelerator with r educed computations through ar untime a ctivation e stimation.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Comprrae: Rram-based convolutional neural network accelerator with r educed computations through ar untime a ctivation e stimation

Reference 19

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Observation 38d5b4fd-4315-4507-818f-f2faf510c1c7 · outbound

This paper cites Digital arithmetic.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Digital arithmetic

Reference 20

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Observation 42a5278a-da14-4880-8d8e-a6c0d96e6b59 · outbound

This paper cites Fused-layer cnn accelerators.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Fused-layer cnn accelerators

Reference 21

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Observation 3a84db40-0052-4bef-aadd-89ed316b50be · outbound

This paper cites Proteus: Exploiting precision variability in deep neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Proteus: Exploiting precision variability in deep neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.401817Z

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Observation a157f940-3eda-4685-b47a-28a6b35aace4 · outbound

This paper cites Fixed-point optimization of deep neural networks with adaptive step size retraining.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Fixed-point optimization of deep neural networks with adaptive step size retraining

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.385212Z

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Observation c7c0e7a5-8058-4cd3-b58f-827cddb10c51 · outbound

This paper cites Distilling bit- level sparsity parallelism for general purpose deep learning acceleration.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Distilling bit- level sparsity parallelism for general purpose deep learning acceleration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.369621Z

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Observation 3cb2ae50-9b72-4025-958f-a61f2a1a188e · outbound

This paper cites Design of high-throughput mixed-precision cnn acceler- ators on fpga.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Design of high-throughput mixed-precision cnn acceler- ators on fpga

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.349597Z

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Observation 6ef24903-f328-4548-b142-5e8cf8ba6a6d · outbound

This paper cites T-dla: An open-source deep learning accelerator for ternarized dnn models on embedded fpga.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks T-dla: An open-source deep learning accelerator for ternarized dnn models on embedded fpga

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.332277Z

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Observation 8a219cb7-610b-4a8b-a837-ee690ff7d9a2 · outbound

This paper cites Talipot: Energy-efficient dnn booster employing hybrid bit parallel- serial processing in msb-first fashion.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Talipot: Energy-efficient dnn booster employing hybrid bit parallel- serial processing in msb-first fashion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.315630Z

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Observation 6a76e841-fe76-41cf-866f-48df0c59ed15 · outbound

This paper cites A precision-scalable energy-efficient convolutional neural network accelerator.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks A precision-scalable energy-efficient convolutional neural network accelerator

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.298841Z

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Observation 0cf26728-b78a-4e9c-9ece-88914ae96bb9 · outbound

This paper cites Bit-pragmatic deep neural network computing.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Bit-pragmatic deep neural network computing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.281966Z

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Observation 623fdaaa-26b5-4248-8aec-eda2dd2931f6 · outbound

This paper cites Towards a reconfigurable bit-serial/bit-parallel vector accelerator using in-situ processing-in-sram.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Towards a reconfigurable bit-serial/bit-parallel vector accelerator using in-situ processing-in-sram

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.264902Z

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Observation 6b0137ae-fd34-42f9-b16e-8b0c46b871f3 · outbound

This paper cites Convfusion: A model for layer fusion in convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Convfusion: A model for layer fusion in convolutional neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.246836Z

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Observation b29cdd91-3b71-415c-bd36-dba1ab6469c1 · outbound

This paper cites Deepthings: Distributed adaptive deep learning inference on resource-constrained iot edge clusters.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Deepthings: Distributed adaptive deep learning inference on resource-constrained iot edge clusters

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.229097Z

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Observation 3f56ca6f-df3d-4138-8f42-ace05361071f · outbound

This paper cites Tgpa: Tile-grained pipeline architecture for low latency cnn inference.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Tgpa: Tile-grained pipeline architecture for low latency cnn inference

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.209197Z

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Observation a40b59f2-ff1a-4777-b3cb-2513c3535e88 · outbound

This paper cites Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on fpgas.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on fpgas

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.189677Z

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Observation 1eae8fab-9b27-4824-b930-21c4edc83353 · outbound

This paper cites Fused-layer-based dnn model parallelism and partial computation offloading.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Fused-layer-based dnn model parallelism and partial computation offloading

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.171819Z

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Observation 57293cfc-a3a0-4c96-96dc-2fe009a29286 · outbound

This paper cites Accelerating deep learning inference via model parallelism and partial computation offloading.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Accelerating deep learning inference via model parallelism and partial computation offloading

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.153956Z

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Observation 1b779637-7574-474a-aefe-dcc36c0e73e2 · outbound

This paper cites Olympus: Reaching memory-optimality on dnn processors.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Olympus: Reaching memory-optimality on dnn processors

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.133832Z

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Observation c1ca90cc-1f2d-47c7-b1b0-907cdb48d552 · outbound

This paper cites Minimizing off-chip memory access for cnn accelerators.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Minimizing off-chip memory access for cnn accelerators

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.117257Z

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Observation 03bd6853-a1ab-48f1-a442-dc0996a7cf14 · outbound

This paper cites Superslash: A unified design space exploration and model compression methodology for design of deep learning accelerators with reduced off-chip memory access volume.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Superslash: A unified design space exploration and model compression methodology for design of deep learning accelerators with reduced off-chip memory access volume

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.100775Z

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Observation fb69296e-6e29-4570-9648-e9ac372cc58e · outbound

This paper cites Bus width aware off-chip memory access minimization for cnn accelerators.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Bus width aware off-chip memory access minimization for cnn accelerators

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.084111Z

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Observation 4369c659-5e3d-40a3-a9fb-c6969cf1004b · outbound

This paper cites Multi-bank on-chip memory management techniques for cnn accelerators.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Multi-bank on-chip memory management techniques for cnn accelerators

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.067132Z

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Observation 8e24031a-d443-4804-bf2f-e06a79954d31 · outbound

This paper cites Practical blind image denoising via swin-conv-unet and data synthesis.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Practical blind image denoising via swin-conv-unet and data synthesis

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:15.515870Z

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Observation d9400677-0078-408c-9d02-c23fa3f13dd1 · outbound

This paper cites An image denoising method based on swin transformer v2 and u-net architecture.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks An image denoising method based on swin transformer v2 and u-net architecture

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.038643Z

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Observation 084d4dc5-3287-46d8-abd0-93b75bc854ca · outbound

This paper cites Plug-and-play image restora- tion with deep denoiser prior.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6360–6376, 2021.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Plug-and-play image restora- tion with deep denoiser prior.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6360–6376, 2021

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.021096Z

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Observation 9dbc170b-aff7-4593-a928-1966e99e5a2d · outbound

This paper cites Artadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Artadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:16.001733Z

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Observation 633ee6d1-4f32-4f1e-b3cd-2363cc168d1d · outbound

This paper cites Stylitgan: Image-based relighting via latent control.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Stylitgan: Image-based relighting via latent control

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.982486Z

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Observation 4567ef9c-408b-441d-8bce-644fbe950fee · outbound

This paper cites Sharingan: A transformer architecture for multi-person gaze following.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Sharingan: A transformer architecture for multi-person gaze following

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.964301Z

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Observation e1b4c9aa-95da-45c8-b88d-e32eb5a59dbf · outbound

This paper cites A Study on ReLU and Softmax in Transformer.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks A Study on ReLU and Softmax in Transformer

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:15.545841Z

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Observation 33441a6c-e697-4d2d-b2df-f671caef8813 · outbound

This paper cites Replacing softmax with ReLU in Vision Transformers.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Replacing softmax with ReLU in Vision Transformers

Reference 49

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Observation 85ae292b-c62e-42c2-8e77-203ac179e707 · outbound

This paper cites Terminetor: Early convolution termination for efficient deep neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Terminetor: Early convolution termination for efficient deep neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.946446Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef31b642-814e-4860-994b-6219ff382a49 · outbound

This paper cites Bitset: Bit-serial early termination for computation reduction in convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Bitset: Bit-serial early termination for computation reduction in convolutional neural networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.925259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31ad57ce-14ba-46bb-896c-cffe87b8d21c · outbound

This paper cites A novel architecture for early detection of negative output features in deep neural network accelerators.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks A novel architecture for early detection of negative output features in deep neural network accelerators

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.906068Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 54766a40-681e-4c52-91cb-4369eeaf2e52 · outbound

This paper cites Msb-first distributed arithmetic circuit for convolution neural network computation.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Msb-first distributed arithmetic circuit for convolution neural network computation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.887145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf345233-dd31-46da-91df-20c013af02a9 · outbound

This paper cites Ercegovac, and Jeong-A Lee.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Ercegovac, and Jeong-A Lee

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.868557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 733bbf59-af21-40bd-8916-ea87fcdc0e4d · outbound

This paper cites Optimizing fpga-based accelerator design for deep convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Optimizing fpga-based accelerator design for deep convolutional neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.850831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 095dddb9-a50c-46de-8034-cb4bad6646d9 · outbound

This paper cites Gradient-based learning applied to document recognition.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Gradient-based learning applied to document recognition

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:15.585457Z

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Observation 1310e118-bf3e-4d2a-9f98-915f54e93a0d · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Imagenet classification with deep convolutional neural networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:15.590226Z

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Observation b5922ea3-55a0-4cea-bed6-fd1c2cbbb1e9 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:15.594740Z

Source-reported events for the cited work

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Observation cd6a6f3c-46f5-4bd5-80c9-d2a674282f8e · outbound

This paper cites Applying the roofline model.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Applying the roofline model

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.814068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67e1842f-505c-4a8b-beb0-6522a45517a9 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Pytorch: An imperative style, high-performance deep learning library

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:15.604558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d625aa7-ea65-49cb-bfef-ed5b20046777 · outbound

This paper cites Automatic compilation of diverse cnns onto high- performance fpga accelerators.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Automatic compilation of diverse cnns onto high- performance fpga accelerators

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.785905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b7b7304-3e7c-4741-826d-e3f190a91183 · outbound

This paper cites Shortcutfusion: From tensorflow to fpga-based accelerator with a reuse-aware memory allocation for shortcut data.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Shortcutfusion: From tensorflow to fpga-based accelerator with a reuse-aware memory allocation for shortcut data

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.768532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06c95734-a37e-4fc3-a990-ae84108731fe · outbound

This paper cites Accelerating deep convolutional neural networks using number theoretic transform.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Accelerating deep convolutional neural networks using number theoretic transform

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.752059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a97baad-1176-4caf-b71d-353d7b8ff84a · outbound

This paper cites An efficient and flexible accelerator design for sparse convolutional neural networks.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks An efficient and flexible accelerator design for sparse convolutional neural networks

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.735781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ded1f4ec-a1cd-4e66-bc8a-9f0e597df5b4 · outbound

This paper cites Multiplication-free lookup-based cnn accelerator using residual vector quantization and its fpga implementation.

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks Multiplication-free lookup-based cnn accelerator using residual vector quantization and its fpga implementation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:15.717229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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