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Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

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Showing 691–700 of 796 papers

TitleStatusHype
Stochastic subgradient method converges at the rate O(k^-1/4) on weakly convex functionsCode0
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary ConvolutionsCode0
The challenge of simultaneous object detection and pose estimation: a comparative study—0
Impact of Batch Size on Stopping Active Learning for Text Classification—0
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture—0
On the Benefit of Combining Neural, Statistical and External Features for Fake News IdentificationCode0
Gini-regularized Optimal Transport with an Application to Spatio-Temporal Forecasting—0
NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization—0
Three Factors Influencing Minima in SGD—0
What Really is Deep Learning Doing?—0
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