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Hard Attention

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TitleStatusHype
Comparison of different Unique hard attention transformer models by the formal languages they can recognize—0
Characterizing the Expressivity of Transformer Language Models—0
Exact Expressive Power of Transformers with Padding—0
Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision—0
NoPE: The Counting Power of Transformers with No Positional Encodings—0
Neuroevolution of Self-Attention Over Proto-Objects—0
AttentionDrop: A Novel Regularization Method for Transformer Models—0
Center-guided Classifier for Semantic Segmentation of Remote Sensing ImagesCode0
Unique Hard Attention: A Tale of Two Sides—0
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers—0
Ehrenfeucht-Haussler Rank and Chain of Thought—0
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
Hard-Attention Gates with Gradient Routing for Endoscopic Image ComputingCode1
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
Mutual Distillation Learning For Person Re-IdentificationCode1
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
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