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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
Look Harder: A Neural Machine Translation Model with Hard Attention—0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
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
Dual Attention Networks for Few-Shot Fine-Grained RecognitionCode0
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
Deep Attention Recurrent Q-NetworkCode0
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
Consistency driven Sequential Transformers Attention Model for Partially Observable ScenesCode0
Understanding Interlocking Dynamics of Cooperative RationalizationCode0
Vamos: Versatile Action Models for Video UnderstandingCode0
Neural Architectures for Nested NER through LinearizationCode0
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