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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 651–700 of 796 papers

TitleStatusHype
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool—0
Efficient human-like semantic representations via the Information Bottleneck principle—0
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization—0
Hierarchical Clustering better than Average-Linkage—0
Finite State Reasoning for Presupposition Satisfaction—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identificationCode0
Optimal Bounds on the VC-dimension—0
Optimal occlusion uniformly partitions red blood cells fluxes within a microvascular network—0
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization—0
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks—0
End-to-End Learning on 3D Protein Structure for Interface PredictionCode0
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory—0
Quantity beats quality for semantic segmentation of corrosion in images—0
Adversarial and Perceptual Refinement for Compressed Sensing MRI ReconstructionCode0
On the Complexity of Detecting Convexity over a Box—0
Structured Variational Learning of Bayesian Neural Networks with Horseshoe PriorsCode0
How much income inequality is fair? Nash bargaining solution and its connection to entropy—0
Conditional Noise-Contrastive Estimation of Unnormalised Models—0
PAC-learning in the presence of evasion adversaries—0
Private PAC learning implies finite Littlestone dimension—0
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating—0
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation—0
LSTMs Exploit Linguistic Attributes of Data—0
Universality of Deep Convolutional Neural Networks—0
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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