But, our current design has a limitation: the transition direction and distance are fixed, resulting in equally spaced distances between viewports.

Document retrieval plays an essential role in web search applications and various downstream knowledge-intensive tasks by identifying relevant documents to satisfy users' queries.

Deep neural networks often work well when they are over-parameterized and trained withamassiveamount ofnoiseandregularization, suchasweight decay and dropout. Although dropout is widely used as a regularization technique for fully connected layers, it is often less effective for convolutional layers.