Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on Open-Ended and 63.09 on Multiple-Choice on test-standard split.

This paper presents a new uncertainty handling framework for optimal generation expansion planning (GEP) amalgamating the notions of single-stage and two-stage robust optimization (RO). The proposed ...

We develop and analyze methods for computing provably optimal maximum a posteriori probability (MAP) configurations for a subclass of Markov random fields defined on graphs with cycles. By decomposing ...

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