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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 676–700 of 796 papers

TitleStatusHype
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception—0
Dynamic Network Model from Partial Observations—0
Variational Inference for Data-Efficient Model Learning in POMDPs—0
Fully Understanding the Hashing Trick—0
SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep LearningCode0
Sample Compression for Real-Valued Learners—0
Universal fluctuations in growth dynamics of economic systems—0
Parser Training with Heterogeneous TreebanksCode0
A survey and a new selection criterion for statistical home range estimation—0
Unspanned Stochastic Volatility in the Multi-factor CIR Model—0
Evaluation of Object Trackers in Distorted Surveillance Videos—0
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network—0
Disentangling the independently controllable factors of variation by interacting with the world—0
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans—0
Constant Regret, Generalized Mixability, and Mirror Descent—0
Learning High-level Representations from Demonstrations—0
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
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