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Temporal-Spatial Object Relations Modeling for Vision-and-Language Navigation
To avoid this problem, we construct object connections based on observations from all viewpoints in the navigational environment, which ensures complete spatial coverage and eliminates the gap, called Spatial Object Relations (SOR).
ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters
Compared to state-of-the-art Softmax hardware, ConSmax results in 14. 5x energy and 14. 0x area savings with a comparable accuracy on a GPT-2 model and the WikiText103 dataset.
Too Much Information Kills Information: A Clustering Perspective
Clustering is one of the most fundamental tools in the artificial intelligence area, particularly in the pattern recognition and learning theory.
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