2021年 ICCV / NeurIPS / AAAI 中Neural Architecture Search (NAS) 神经网络结构搜索相关论文汇总
2024-06-02 13:07:01
这里写自定义目录标题
- ICCV (35篇)
- NeurIPS / NIPS （28篇）
- AAAI (31篇)
ICCV (35篇)
- Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
- AdvRush Searching for Adversarially Robust Neural Architectures
- Boss NAS Exploring Hybrid CNN Transformers With Block Wisely Self Supervised Neural Architecture Search
- Evolving Search Space for Neural Architecture Search
- NASOoD Neural Architecture Search for Out of Distribution Generalization
- Not All Operations Contribute Equally Hierarchical Operation Adaptive Predictor for Neural Architecture Search
- Homogeneous Architecture Augmentation for Neural Predictor
- RANKNOSH Efficient Predictor Based Architecture Searchvia Non Uniform Successive Halving
- Pyramid Architecture Search for Real Time Image Deblurring
- GLiT Neural Architecture Search for Global and Local Image Transformer
- ECDARTS Inducing Equalized and Consistent Optimization Into DARTS
- PiNAS Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
- Auto Space Neural Architecture Search With Less Human Interference
- TAutoML Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging
- BNNAS Neural Architecture Search With Batch Normalization
- IDARTS Interactive Differentiable Architecture Search
- ZenNAS A Zero Shot NAS for High Performance Image Recognition
- AutoFormer Searching Transformers for Visual Recognition
- Once Quantization Aware Training High Performance Extremely Low Bit Architecture Search
- CMNAS Cross Modality Neural Architecture Search for Visible Infrared Person Re-Identification
- Differentiable Convolution Search for Point Cloud Processing
- Distilling Optimal Neural Networks Rapid Search in Diverse Spaces
- Achieving On Mobile Real Time Super Resolution With Neural Architecture and Pruning Search
- FairNAS Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
- Neural Architecture Search for Joint Human Parsing and Pose Estimation
- SACoD Sensor Algorithm CoDesign Towards Efficient CNN Powered Intelligent PhlatCam
- NASOA Towards Faster Task Oriented Online Fine Tuning With a Zoo of Models
- iNAS Integral NAS for Device Aware Salient Object Detection
- Reconfig ISP Reconfigurable Camera Image Processing Pipeline
- Searching for Two Stream Models in Multivariate Space for Video Recognition
- Searching for Controllable Image Restoration Networks
- Exploring Relational Context for Multi Task Dense Prediction
- Spatial Temporal Consistency Network for Low Latency Trajectory Forecasting
- Exploration and Estimation for Model Compression
- Direct Differentiable Augmentation Search
NeurIPS / NIPS （28篇）
- Graph Differentiable Architecture Search with StructureLearning
- TNASPA Transformer based NAS Predictor with a Self evolution Framework
- Stronger NAS with Weaker Predictors
- Differentiable Synthesis of Program Architectures
- BatchQuant Quantized for all Architecture Search with Robust Quantizer
- Generic Neural Architecture Search via Regression
- NASBenchx11 and the Power of Learning Curves
- How Powerful are Performance Predictors in Neural Architecture Search
- Speedy Performance Estimation for Neural Architecture Search
- Evaluating Efficient Performance Estimators of Neural Architectures
- Progressive Feature Interaction Search for Deep Sparse Network
- Hardware adaptive Efficient Latency Prediction for NAS via Meta Learning
- Searching the Search Space of Vision Transformer
- Task Adaptive Neural Network Search with Meta Contrastive Learning
- Rethinking Neural Operations for Diverse Tasks
- Neural Architecture Dilation for Adversarial Robustness
- Memory efficient Patch based Inference for Tiny Deep Learning
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
- Searching for Efficient Transformers for Language Modeling
- Federated Hyperparameter Tuning Challenges Baselines and Connections to Weight Sharing
- BNS Building Network Structures Dynamically for Continual Learning
- Neural Regression Representational Similarity Model Zoology Neural Task onomy at Scalein Rodent Visual Cortex
- An Empirical Study of Adder Neural Networks for Object Detection
- Multi Objective Meta Learning
- Controlled Text Generation as Continuous Optimization with Multiple Constraints
- Rethinking gradient sparsification as total error minimization
- Self Supervised Learning Disentangled Group Representation as Feature
- The Sensory Neuronasa Transformer Permutation Invariant Neural Networks for Reinforcement Learning
AAAI (31篇)
- One shot Graph Neural Architecture Search with Dynamic Search Space
- BANANAS Bayesian Optimization with Neural Architectures for Neural Architecture Search
- Neural Architecture Search as Sparse Supernet
- NAS Transfer Analyzing Architecture Transfer ability in Large Scale Neural Architecture Search
- Rethinking Bi Level Optimization in NeuralArchitectureSearchAGibbs Sampling Perspective
- NASGEM Neural Architecture Search via Graph Embedding Method
- Unchainthe Search Space with Hierarchical Differentiable Architecture Search
- MUFASA Multimodal Fusion Architecture Search for Electronic Health Records
- Fitting the Search Space of Weight sharing NAS with Graph Convolutional Networks
- Advantage NAS Efficient Neural Architecture Search with Credit Assignment
- Auto Dropout Learning Dropout Patterns to Regularize Deep Networks
- Teacher Guided Neural Architecture Search for Face Recognition
- Dynamically Grown Generative Adversarial Networks
- Automated Model Design and Benchmarking of Deep Learning Models for COVID19 Detection with Chest CT Scans
- CAKES Channelwise Automatic KErnel Shrinking for Efficient 3D Networks
- NEAPF Network Epoch Accuracy Prediction Framework
- Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks
- Auto Text An End to End Auto AI Framework for Text
- Costaware Graph Generation A Deep Bayesian Optimization Approach
- Regional Attention with Architecture Rebuilt 3D Network for RGBD Gesture Recognition
- PartialIs Better Than All Revisiting Finetuning Strategy for Fewshot Learning
- SecDD Efficient and Secure Method for Remotely Training Neural Networks
- Frac Bits Mixed Precision Quantization via Fractional Bit Widths
- Deeplite Neutrino TMA Black Box Framework for Constrained Deep Learning Model Optimization
- Searching for Machine Learning Pipelines Using a Context Free Grammar
- Anytime Inference with Distilled Hierarchical Neural Ensembles
- Multi Task Recurrent Modular Networks
- Trans Tailor Pruning the Pretrained Model for Improved Transfer Learning
- Searching for Alignment in Face Recognition
- Composite Adversarial Attacks
- High Dimensional Level Set Estimation with Bayesian Neural Network
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