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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 701–750 of 796 papers

TitleStatusHype
What Really is Deep Learning Doing?—0
Unsupervised Sentence Representations as Word Information Series: Revisiting TF--IDF—0
Generalization in Deep Learning—0
Combining Learned and Analytical Models for Predicting Action Effects from Sensory DataCode0
How intelligence can change the course of evolutionCode0
Synergy Between Face Alignment and Tracking via Discriminative Global Consensus Optimization—0
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge—0
Fooling Vision and Language Models Despite Localization and Attention Mechanism—0
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects—0
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings—0
Learning Musical Relations using Gated Autoencoders—0
Exploring Temporal Preservation Networks for Precise Temporal Action Localization—0
Independently Controllable Factors—0
When You Must Forget: beyond strong persistence when forgetting in answer set programming—0
Unsupervised Place Discovery for Place-Specific Change Classifier—0
Deep learning for extracting protein-protein interactions from biomedical literature—0
Evolutionary dynamics of incubation periods—0
Model Selection in Bayesian Neural Networks via Horseshoe PriorsCode0
Learning Belief Network Structure From Data under Causal Insufficiency—0
Ethical Artificial Intelligence - An Open Question—0
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks—0
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian—0
Exact MAP Inference by Avoiding Fractional Vertices—0
The Second Order Linear Model—0
Online Meta-learning by Parallel Algorithm Competition—0
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent—0
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network—0
Unsupervised Place Discovery for Visual Place Classification—0
Recognizing and Eliciting Weakly Single Crossing Profiles on Trees—0
Full-Capacity Unitary Recurrent Neural NetworksCode0
Maxmin convolutional neural networks for image classification—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
Mobility Map Computations for Autonomous Navigation using an RGBD Sensor—0
Modeling of Sensory Characteristics Based on the Growth of Food Spoilage Bacteria—0
A Machine Learning Nowcasting Method based on Real-time Reanalysis Data—0
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks—0
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences—0
Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches—0
Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays—0
Finding Significant Fourier Coefficients: Clarifications, Simplifications, Applications and Limitations—0
Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help—0
Paraphrase for Open Question Answering: New Dataset and Methods—0
Nonnegative Matrix Factorization Requires Irrationality—0
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions—0
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes—0
Simple Search Algorithms on Semantic Networks Learned from Language UseCode0
Decoding index finger position from EEG using random forests—0
Simulations for Validation of Vision Systems—0
Beat regulation in twisted axonemes—0
An identifiability problem in a state model for partly undetected chronic diseases—0
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