Related papers: Self-Attentive Neural Collaborative Filtering
This paper has been withdrawn by the author due to an error in the treatment of the earth acceleration in the accelerated frame of the Cooper pairs
The paper has been withdrawn due to an error in Lemma 1.
The paper was withdrawn because of its significant overlap with a paper appeared recently.
This paper has been withdrawn by author due to an error in the proof.
This paper has been withdrawn by the authors due to a major rewriting.
This paper has been withdrawn by the author due to the incorrect application of the divergence theorem to Eqs 7, 8 and 9.
This paper is withdrawn due to a mistake. The revised version with a new tiltle can be found in hep-ph/0502199.
Convolution and self-attention are two powerful techniques for representation learning, and they are usually considered as two peer approaches that are distinct from each other. In this paper, we show that there exists a strong underlying…
Contrastive learning applied to self-supervised representation learning has seen a resurgence in recent years, leading to state of the art performance in the unsupervised training of deep image models. Modern batch contrastive approaches…
This paper has been withdrawn
The paper has been withdrawn by the autors. The proposed code is not working because orthogonality.
This paper has been withdrawn by the authors. We have discovered an error in the evaluation of the diagram, which invalidates our conclusion.
This paper has been withdrawn by the author due to a crucial error in equation.
This paper has been withdrawn by the authors, due to the discovery of paper 0201028 which predates it and contains most of it's results.
This paper has been withdrawn by the author due to a crucial error.
This paper has been withdrawn by the author due to a crucial sign error in equation 1
This paper is withdrawn. We found a mistake in Lemma 4.1
As the size of the datasets getting larger, accurately annotating such datasets is becoming more impractical due to the expensiveness on both time and economy. Therefore, crowd-sourcing has been widely adopted to alleviate the cost of…
This paper has been withdrawn by the authors, due a gap in the proof of the main Theorem.
This paper has been withdrawn by the author due to an error.