• AutoKeras

  • Referenced in 6 articles [sw33648]
  • AutoKeras, Auto-Keras: An Efficient Neural Architecture Search System. Neural architecture search (NAS) has been ... automatically tune deep neural networks, but existing search algorithms, e.g., NASNet, PNAS, usually suffer from ... functionality of a neural network while changing its neural architecture, could be helpful ... guide the network morphism for efficient neural architecture search. The framework develops a neural network...
  • EfficientNet

  • Referenced in 11 articles [sw39587]
  • even further, we use neural architecture search to design a new baseline network and scale...
  • DeepHyper

  • Referenced in 4 articles [sw41119]
  • functions: pipeline optimization for ML (DeepHyper/POPT); neural architecture search (DeepHyper/NAS); hyperparameter search (DeepHyper/HPS); ensemble uncertainty...
  • ART 3

  • Referenced in 27 articles [sw08755]
  • self-organizing pattern recognition architectures. A model to implement parallel search of compressed or distributed ... recognition codes in a neural network hierarchy is introduced. The search process functions well with ... asynchronous input patterns in real-time. The search process emerges when computational properties ... embedded within an Adaptive Resonance Theory architecture called ART 3. Formal analogs of ions such...
  • NORD

  • Referenced in 1 article [sw39038]
  • NORD: A python framework for Neural Architecture Search. Neural Architecture Search (NAS) is a research...
  • NASGym

  • Referenced in 1 article [sw39800]
  • simple OpenAI Gym environment for Neural Architecture Search (NAS). This is a python package developed ... project Learning to reinforcement learn for Neural Architecture Search. The environment is fully compatible with ... Neural Structure Code (NSC) of BlockQNN: Efficient Block-wise Neural Network Architecture Generation to encode...
  • FedNAS

  • Referenced in 1 article [sw40627]
  • FedNAS: Federated Deep Learning via Neural Architecture Search. Federated Learning (FL) has been proved ... predefined model architecture discovered in the centralized environment. However, this predefined architecture ... effort. We specifically study AutoFL via Neural Architecture Search (NAS), which can automate the design...
  • AutoOD

  • Referenced in 1 article [sw41887]
  • AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. Outlier detection ... human expertise and laboring trials. Although Neural Architecture Search (NAS) has shown its promise ... lack of intrinsic search space, unstable search process, and low sample efficiency. To bridge ... detection framework, which aims to search for an optimal neural network model within a predefined...
  • Katib

  • Referenced in 1 article [sw37565]
  • supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is the project which...
  • PyDEns

  • Referenced in 4 articles [sw32455]
  • wave equation 2) easily search for the best neural-network architecture among the zoo, that...
  • Evolino

  • Referenced in 19 articles [sw36450]
  • hybrid neuroevolution / optimal linear search for sequence learning. Current Neural Network learning algorithms are limited ... dynamical systems. Most supervised gradient-based recurrent neural networks (RNNs) suffer from a vanishing error ... Using the Long Short-Term Memory RNN Architecture, the method is tested in three very...
  • Jasper

  • Referenced in 3 articles [sw38121]
  • Jasper: An End-to-End Convolutional Neural Acoustic Model. In this paper, we report state ... experiments, we demonstrate that the proposed deep architecture performs as well or better than more ... architecture, we achieve 2.95% WER using a beam-search decoder with an external neural language...
  • NeuroGenetic Optimizer

  • Referenced in 1 article [sw29836]
  • training by searching through combinations of input variables, neural model architectures and also their internal...
  • Marabou

  • Referenced in 6 articles [sw31368]
  • network that can curtail the search space and improve performance. It also supports parallel execution ... popular TensorFlow framework for neural networks. We describe the system architecture and main components, evaluate...
  • DOSI

  • Referenced in 2 articles [sw27054]
  • neural networks in which a particle swarm is assigned to each neuron to search ... that neuron’s weights. Unlike similar architectures, our approach does not require a shared global...
  • CodeBERT

  • Referenced in 4 articles [sw36366]
  • develop CodeBERT with Transformer-based neural architecture, and train it with a hybrid objective function ... performance on both natural language code search and code documentation generation tasks. Furthermore, to investigate...
  • XSearch

  • Referenced in 3 articles [sw01029]
  • search in a distributed object environment. The large-scale adoption of three-tier partitioned architectures ... cost. We describe, in this article, a neural network based solution to implement a components...
  • CSGNet

  • Referenced in 1 article [sw41630]
  • Constructive Solid Geometry. We present a neural architecture that takes as input ... detection and are inherently slow since the search space over possible primitive combinations is large ... contrast, our model uses a recurrent neural network that parses the input shape...
  • Pyserini

  • Referenced in 1 article [sw37741]
  • stage retrieval in a multi-stage ranking architecture. Our toolkit is self-contained ... efforts aimed at improving ranking with modern neural approaches. In particular, Pyserini supports sparse retrieval ... words representations), dense retrieval (e.g., nearest-neighbor search on transformer-encoded representations), as well...
  • ColBERT

  • Referenced in 1 article [sw37760]
  • ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. Recent progress ... each query-document pair through a massive neural network to compute a single relevance score ... efficient retrieval. ColBERT introduces a late interaction architecture that independently encodes the query ... extensively evaluate ColBERT using two recent passage search datasets. Results show that ColBERT’s effectiveness...