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Hard Attention

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Showing 51–75 of 100 papers

TitleStatusHype
Specialized Transformers: Faster, Smaller and more Accurate NLP Models—0
Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model—0
Theoretical Limitations of Self-Attention in Neural Sequence Models—0
Transformers as Transducers—0
Transformers in Uniform TC^0—0
Unique Hard Attention: A Tale of Two Sides—0
Upper, Middle and Lower Region Learning for Facial Action Unit Detection—0
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model—0
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation—0
You Only Need One Model for Open-domain Question Answering—0
NoPE: The Counting Power of Transformers with No Positional Encodings—0
Achieving Explainability in a Visual Hard Attention Model through Content Prediction—0
A Differentiable Self-disambiguated Sense Embedding Model via Scaled Gumbel Softmax—0
AMR Parsing with Action-Pointer Transformer—0
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing—0
A study of latent monotonic attention variants—0
AttentionDrop: A Novel Regularization Method for Transformer Models—0
Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits—0
Characterizing the Expressivity of Transformer Language Models—0
CLAWS: Contrastive Learning with hard Attention and Weak Supervision—0
Comparison of different Unique hard attention transformer models by the formal languages they can recognize—0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters—0
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors—0
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays—0
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment—0
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