Efficient Neural Network

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 89 papers with code (224 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
  7 Jun 2016 49 repositories listed Syntology ran 5 of 30 samples · 25 unverified
  The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications.
• Efficient Neural Network Robustness Certification with General Activation Functions
  2 Nov 2018 16 repositories listed Syntology ran 4 of 43 samples · 39 unverified · 3 pointer-only (licence)
  Finding minimum distortion of adversarial examples and thus certifying robustness in neural network classifiers for given data points is known to be a challenging problem.
• MobileOne: An Improved One millisecond Mobile Backbone
  8 Jun 2022 10 repositories listed Syntology ran 1 of 6 samples · 5 unverified · 2 pointer-only (licence)
  Furthermore, we show that our model generalizes to multiple tasks - image classification, object detection, and semantic segmentation with significant improvements in latency and accuracy as compared to existing…
• Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
  12 Jul 2016 7 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We alternate the pruning and retraining to further reduce zero activations in a network.
• Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
  14 Jul 2020 4 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  In this paper, we present an efficient neural network for end-to-end general purpose audio source separation.
• vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
  25 Feb 2016 4 repositories listed
  The most widely used machine learning frameworks require users to carefully tune their memory usage so that the deep neural network (DNN) fits into the DRAM capacity of a GPU.
• Efficient Neural Network Analysis with Sum-of-Infeasibilities
  19 Mar 2022 3 repositories listed
  Given a convex relaxation which over-approximates the non-convex activation functions, we encode the violations of activation functions as a cost function and optimize it with respect to the convex relaxation.
• Compute and memory efficient universal sound source separation
  3 Mar 2021 3 repositories listed
  Recent progress in audio source separation lead by deep learning has enabled many neural network models to provide robust solutions to this fundamental estimation problem.
• Deep learning observables in computational fluid dynamics
  7 Mar 2019 3 repositories listed
  Under the assumption that the underlying neural networks generalize well, we prove that the deep learning MC and QMC algorithms are guaranteed to be faster than the baseline (quasi-) Monte Carlo methods.
• EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
  22 Nov 2024 2 repositories listed
  In this paper, we introduce Efficient Vision Mamba (EfficientViM), a novel architecture built on hidden state mixer-based state space duality (HSM-SSD) that efficiently captures global dependencies with further reduced…
• Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference
  25 Oct 2023 2 repositories listed
  Our static approach approximates the map as the gradient of a partially input-convex neural network.
• Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
  17 Jul 2023 2 repositories listed
  Neural network-based variational Monte Carlo (NN-VMC) has emerged as a promising cutting-edge technique of ab initio quantum chemistry.
• Orthogonal Transforms in Neural Networks Amount to Effective Regularization
  10 May 2023 2 repositories listed
  We consider applications of neural networks in nonlinear system identification and formulate a hypothesis that adjusting general network structure by incorporating frequency information or other known orthogonal…
• QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
  31 Aug 2022 2 repositories listed
  The approach utilizes entropy regularization, quantization noise, and Adaptive Deviation for Quantization (ADQ) module to enhance the search procedure.
• Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
  4 Jul 2022 2 repositories listed
  It is shown that the resulting facial features can be used for fast simultaneous prediction of students’ engagement levels (from disengaged to highly engaged), individual emotions (happy, sad, etc.,) and group-level…
• LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference
  24 Oct 2019 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Research has shown that deep neural networks contain significant redundancy, and thus that high classification accuracy can be achieved even when weights and activations are quantized down to binary values.
• SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
  20 Sep 2019 2 repositories listed
  Object detection and tracking are challenging tasks for resource-constrained embedded systems.
• LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
  27 Mar 2025 1 repository listed
  In response, in this work we present LightSNN, a rapid and efficient Neural Network Architecture Search (NAS) technique specifically tailored for SNNs that autonomously leverages the most suitable architecture, striking…
• Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
  23 Feb 2025 1 repository listed Syntology ran 1 of 5 samples · 4 unverified
  Structured pruning and quantization are fundamental techniques used to reduce the size of deep neural networks (DNNs) and typically are applied independently.
• When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room
  12 Feb 2025 1 repository listed
  Conclusion: We investigate the Team Time-Out and the StOP?-protocol in the OR, by presenting the first OR dataset with temporal annotations of group activities protocols, and introducing a novel group activity detection…
• Harmonic Loss Trains Interpretable AI Models
  3 Feb 2025 1 repository listed
  In this paper, we introduce **harmonic loss** as an alternative to the standard cross-entropy loss for training neural networks and large language models (LLMs).
• HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
  5 Jan 2025 1 repository listed
  Our approach ensures that all large matrix multiplications during the forward and backward passes are executed in lower precision.
• Learn2Mix: Training Neural Networks Using Adaptive Data Integration
  21 Dec 2024 1 repository listed
  Accelerating model convergence in resource-constrained environments is essential for fast and efficient neural network training.
• Efficient Neural Network Encoding for 3D Color Lookup Tables
  19 Dec 2024 1 repository listed
  To this end, we propose a model with a memory footprint of less than 0.
• QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization
  22 Oct 2024 1 repository listed
  These results emphasize the significance of URLs in search engine optimization: well-named URLs enable better topic classification, increasing the likelihood of appearing on the first page of search engine results by 4.
• UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images
  5 Sep 2024 1 repository listed
  Due to the diverse geographical environments, intricate landscapes, and high-density settlements, the automatic identification of urban village boundaries using remote sensing images remains a highly challenging task.
• Distilling Long-tailed Datasets
  24 Aug 2024 1 repository listed
  It reduces the distance between the student and the biased expert trajectories and prevents the tail class bias from being distilled to the synthetic dataset.
• GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
  18 Aug 2024 1 repository listed
  Due to the discretization and temporal features of AoI indicators, the Qedgix framework employs QMIX to optimize distributed partially observable Markov decision processes (Dec-POMDP) based on centralized training and…
• On Efficient Neural Network Architectures for Image Compression
  14 Jun 2024 1 repository listed
  Recent advances in learning-based image compression typically come at the cost of high complexity.
• The Effectiveness of a Simplified Model Structure for Crowd Counting
  11 Apr 2024 1 repository listed
  We proposes the Fuss-Free Network (FFNet) that is characterized by its simple and efficieny structure, consisting of only a backbone network and a multi-scale feature fusion structure.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.