Spotlights
in
Workshop: NIPS Highlights (MLTrain), Learn How to code a paper with state of the art frameworks
Abstract
Ben Athiwaratkun: Bayesian GAN in Pytorch,
Dhyani Dushyanta: A Convolutional Encoder Model for Neural Machine Translation,
Forough Arabshahi: Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs,
Jean Kossaifi: Tensor Regression Networks with TensorLy and MXNet,
Joseph Paul Cohen: ShortScience.org - Reproducing Intuition,
Kamyar Azizzadenesheli: Efficient Exploration through Bayesian Deep Q-Networks,
Ashish Khetan: Learning from noisy, single-labeled data,
Rose Yu: Long-Term Forecasting using Tensor-Train RNNs
Shayenne da Lu Moura: Melody Transcription System
Tschannen Michael: Fast Linear Algebra in Stacked Strassen Networks
Yang Shi: Multimodal Compact Bilinear Pooling for Visual Question Answering
Yu-Chia Chen: Improved Graph Laplacian via Geometric Consistency