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Hard Attention

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Showing 26–50 of 100 papers

TitleStatusHype
Simulating Hard Attention Using Soft Attention—0
Transformers in Uniform TC^0—0
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal—0
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based VisionCode0
Transformers as Transducers—0
Recurrent Alignment with Hard Attention for Hierarchical Text RatingCode0
GQHAN: A Grover-inspired Quantum Hard Attention Network—0
Multi-View Unsupervised Image Generation with Cross Attention Guidance—0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters—0
Vamos: Versatile Action Models for Video UnderstandingCode0
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages—0
Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning—0
Logical Languages Accepted by Transformer Encoders with Hard Attention—0
Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits—0
On the Learning Dynamics of Attention NetworksCode0
HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual LearningCode0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images—0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays—0
Dual Attention Networks for Few-Shot Fine-Grained RecognitionCode0
Binding Actions to Objects in World ModelsCode0
Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity—0
Consistency driven Sequential Transformers Attention Model for Partially Observable ScenesCode0
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model—0
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