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Hard Attention

Papers

Showing 2650 of 100 papers

TitleStatusHype
Logical Languages Accepted by Transformer Encoders with Hard Attention0
Investigation of Architectures and Receptive Fields for Appearance-based Gaze EstimationCode1
Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits0
On the Learning Dynamics of Attention NetworksCode0
HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual LearningCode0
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion DiagnosisCode1
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan0
Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays0
Dual Attention Networks for Few-Shot Fine-Grained RecognitionCode0
Table Retrieval May Not Necessitate Table-specific Model DesignCode1
Binding Actions to Objects in World ModelsCode0
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity0
Consistency driven Sequential Transformers Attention Model for Partially Observable ScenesCode0
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model0
You Only Need One Model for Open-domain Question Answering0
CLAWS: Contrastive Learning with hard Attention and Weak Supervision0
A Probabilistic Hard Attention Model For Sequentially Observed ScenesCode0
Understanding Interlocking Dynamics of Cooperative RationalizationCode0
Sharp Attention for Sequence to Sequence Learning0
Specialized Transformers: Faster, Smaller and more Accurate NLP Models0
Saturated Transformers are Constant-Depth Threshold Circuits0
Multimodal Emergent Fake News Detection via Meta Neural Process Networks0
Self-Attention Networks Can Process Bounded Hierarchical LanguagesCode1
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