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Found 9 papers, 3 papers with code
Efficacy of Neural Prediction-Based Zero-Shot NAS
In contrast, handcrafted performance indicators (zero-shot NAS), which use the same architecture with random initialization, can generalize across multiple search spaces.
Ranked #38 on
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on CIFAR-10
Word Sense Disambiguation with LSTM: Do We Really Need 100 Billion Words?
Recently, Yuan et al. (2016) have shown the effectiveness of using Long Short-Term Memory (LSTM) for performing Word Sense Disambiguation (WSD).
A Critique of a Critique of Word Similarity Datasets: Sanity Check or Unnecessary Confusion?
Critical evaluation of word similarity datasets is very important for computational lexical semantics.
Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Error propagation is a common problem in NLP.
A Deep Dive into Word Sense Disambiguation with LSTM
LSTM-based language models have been shown effective in Word Sense Disambiguation (WSD).
Robust Deep Neural Networks Inspired by Fuzzy Logic
Deep neural networks have achieved impressive performance and become the de-facto standard in many tasks.
Revisiting Edge Detection in Convolutional Neural Networks
The ability to detect edges is a fundamental attribute necessary to truly capture visual concepts.
