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Found 4 papers, 2 papers with code
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
We achieve this by feeding a superposition of the most recent token embeddings from the $k$ drafts as input to the next decoding step of the language model.
Are "Hierarchical" Visual Representations Hierarchical?
In this work, we set out to investigate if hierarchical visual representations truly capture the human perceived hierarchy better than standard learned representations.
Generative Visual Question Answering
The current models lack temporal generalization which enables models to adapt to changes in future data.
Model-Agnostic Graph Regularization for Few-Shot Learning
In this paper, we present a comprehensive empirical study on graph embedded few-shot learning.
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