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Isolating Sources of Disentanglement in Variational Autoencoders
Tian Qi Chen, Xuechen Li, Roger B. Grosse, David K. Duvenaud
Neural Information Processing Systems http://nips.cc/
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James Glass
Recently, there is an increasing interest in learning the semantics of a language directly, and only from rawspeech [24,27,28].
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato, Makoto Yamada, Hisashi Kashima
To this end, we first establish a new class of GNNs that can solve a strictly wider variety of problems than existing GNNs. Then, we bridge the gap between GNN theory and the theory of distributed local algorithms.
Neural 4D Hand Representation Using Fourier Query Flow -- Appendix -- Jihyun Lee
We now report the implementation details for the reproducibility of our method.
Neural 4D Hand Representation Using Fourier Query Flow
Thus, they do not effectively capture implicit correspondences between articulated shapes or regularize jittery temporal deformations.
OnlineForecastingofTotal-Variation-bounded Sequences
We consider the problem of online forecasting of sequences of lengthn with total-variation at mostCn using observations contaminated by independentσsubgaussian noise. We design anO(nlogn)-time algorithm that achieves a cu-mulativesquare error of O(n1/3C2/3n σ4/3+C2n)with high probability.