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Automated Search for Resource-Efficient Branched Multi-Task Networks

https://doi.org/10.5244/c.34.93

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-snapshot

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-030-01270-0_17openalex-snapshot

Dynamic Task Prioritization for Multitask Learning

inferredcites →https://doi.org/10.1007/978-3-030-58548-8_31openalex-snapshot

MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning

inferredcites →https://doi.org/10.1007/978-3-030-58565-5_41openalex-snapshot

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference

inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot

Indoor Segmentation and Support Inference from RGBD Images

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1109/cvpr.2014.254openalex-snapshot

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.433openalex-snapshot

Cross-Stitch Networks for Multi-task Learning

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.126openalex-snapshot

Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

inferredcites →https://doi.org/10.1109/cvpr.2017.579openalex-snapshot

UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory

inferredcites →https://doi.org/10.1109/cvpr.2018.00077openalex-snapshot

PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing

inferredcites →https://doi.org/10.1109/cvpr.2018.00171openalex-snapshot

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot

MobileNetV2: Inverted Residuals and Linear Bottlenecks

inferredcites →https://doi.org/10.1109/cvpr.2018.00781openalex-snapshot

Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

inferredcites →https://doi.org/10.1109/cvpr.2018.00907openalex-snapshot

Learning Transferable Architectures for Scalable Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00017openalex-snapshot

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00197openalex-snapshot

End-To-End Multi-Task Learning With Attention

inferredcites →https://doi.org/10.1109/cvpr.2019.00332openalex-snapshot

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01156openalex-snapshot

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning

inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot

Holistically-Nested Edge Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00147openalex-snapshot

Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels

inferredcites →https://doi.org/10.1109/tpami.2004.1273918openalex-snapshot

Learning to detect natural image boundaries using local brightness, color, and texture cues

inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

inferredcites →https://doi.org/10.1609/aaai.v33i01.33014780openalex-snapshot

Regularized Evolution for Image Classifier Architecture Search

inferredcites →https://doi.org/10.1609/aaai.v33i01.33014822openalex-snapshot

Latent Multi-Task Architecture Learning

inferredcites →https://doi.org/10.18653/v1/e17-2026openalex-snapshot

Identifying beneficial task relations for multi-task learning in deep neural networks

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1506.02117openalex-snapshot

Learning Multiple Tasks with Multilinear Relationship Networks

inferredcites →https://doi.org/10.48550/arxiv.1611.00712openalex-snapshot

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

inferredcites →https://doi.org/10.48550/arxiv.1611.01578openalex-snapshot

Neural Architecture Search with Reinforcement Learning

inferredcites →https://doi.org/10.48550/arxiv.1611.06440openalex-snapshot

Pruning Convolutional Neural Networks for Resource Efficient Inference

inferredcites →https://doi.org/10.48550/arxiv.1706.05098openalex-snapshot

An Overview of Multi-Task Learning in Deep Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1708.02550openalex-snapshot

Fast Scene Understanding for Autonomous Driving

inferredcites →https://doi.org/10.48550/arxiv.1802.03268openalex-snapshot

Efficient Neural Architecture Search via Parameter Sharing

inferredcites →https://doi.org/10.48550/arxiv.1806.09055openalex-snapshot

DARTS: Differentiable Architecture Search

inferredcites →https://doi.org/10.48550/arxiv.1810.04650openalex-snapshot

Multi-Task Learning as Multi-Objective Optimization

inferredcites →https://doi.org/10.48550/arxiv.1904.02920openalex-snapshot

Branched Multi-Task Networks: Deciding What Layers To Share

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4896948openalex-extracted

Bmt-Enas: Branched Multi-Task Evolutionary Neural Architecture Search

inferred← citeshttps://doi.org/10.1007/978-3-032-01169-5_6openalex-snapshot

CerberusDet: Unified Multi-dataset Object Detection

inferred← citeshttps://doi.org/10.1007/s11263-026-02751-0openalex-snapshot

EMUFormer: Efficient Multi-task Uncertainties for Reliable Joint Semantic Segmentation and Monocular Depth Estimation

inferred← citeshttps://doi.org/10.1109/caibda65784.2025.11183475openalex-snapshot

ADEMT-NAS: Multi-Task Neural Architecture Search Based on Adaptive Differential Evolution

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00535openalex-snapshot

Fedhca 2 : Towards Hetero-Client Federated Multi-Task Learning

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01529openalex-snapshot

Joint-Task Regularization for Partially Labeled Multi-Task Learning

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00081openalex-snapshot

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation

inferred← citeshttps://doi.org/10.1109/taes.2025.3577586openalex-snapshot

SFCANet: Channel Attention in Spatial-Frequency Domain for Infrared Small Target Detection

inferred← citeshttps://doi.org/10.1109/tmm.2024.3349865openalex-snapshot

Prompt Guided Transformer for Multi-Task Dense Prediction

inferred← citeshttps://doi.org/10.1109/tpami.2021.3054719openalex-snapshot

Multi-Task Learning for Dense Prediction Tasks: A Survey

inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00151openalex-snapshot

Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00666openalex-snapshot

PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data

inferred← citeshttps://doi.org/10.1515/teme-2025-0004openalex-snapshot

A comparative study on multi-task uncertainty quantification in semantic segmentation and monocular depth estimation

inferred← citeshttps://doi.org/10.1609/aaai.v37i9.26312openalex-snapshot

Learning Conflict-Noticed Architecture for Multi-Task Learning

inferred← citeshttps://doi.org/10.48550/arxiv.2101.09336openalex-snapshot

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

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