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Hard Attention

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Showing 51–100 of 100 papers

TitleStatusHype
Neuroevolution of Self-Attention Over Proto-Objects—0
Object Guided External Memory Network for Video Object Detection—0
Saturated Transformers are Constant-Depth Threshold Circuits—0
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
Sharp Attention for Sequence to Sequence Learning—0
Simulating Hard Attention Using Soft Attention—0
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal—0
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
Hierarchical Memory Networks—0
Hierarchical Multi-scale Attention Networks for Action Recognition—0
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers—0
Learning deep graph matching with channel-independent embedding and Hungarian attention—0
Learning Hard Alignments with Variational Inference—0
Logical Languages Accepted by Transformer Encoders with Hard Attention—0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
Dual Attention Networks for Few-Shot Fine-Grained RecognitionCode0
HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual LearningCode0
Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTSCode0
Recurrent Alignment with Hard Attention for Hierarchical Text RatingCode0
On the Learning Dynamics of Attention NetworksCode0
Deep Attention Recurrent Q-NetworkCode0
Latent Alignment and Variational AttentionCode0
Surprisingly Easy Hard-Attention for Sequence to Sequence LearningCode0
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP ModelsCode0
Consistency driven Sequential Transformers Attention Model for Partially Observable ScenesCode0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Learning Visual Question Answering by Bootstrapping Hard AttentionCode0
Overcoming catastrophic forgetting with hard attention to the taskCode0
Saccader: Improving Accuracy of Hard Attention Models for VisionCode0
Progressive Attention Networks for Visual Attribute PredictionCode0
Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based ApproachCode0
Binding Actions to Objects in World ModelsCode0
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence ModelingCode0
Morphological Inflection Generation with Hard Monotonic AttentionCode0
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based VisionCode0
A Probabilistic Hard Attention Model For Sequentially Observed ScenesCode0
Sequence-to-sequence Models for Cache Transition SystemsCode0
Center-guided Classifier for Semantic Segmentation of Remote Sensing ImagesCode0
Understanding Interlocking Dynamics of Cooperative RationalizationCode0
Vamos: Versatile Action Models for Video UnderstandingCode0
Neural Architectures for Nested NER through LinearizationCode0
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