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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

Showing 401450 of 796 papers

TitleStatusHype
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions0
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification0
Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity0
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making0
Drift anticipation with forgetting to improve evolving fuzzy system0
Wasserstein barycenters are NP-hard to compute0
Modularity maximisation for graphonsCode0
THDA: Treasure Hunt Data Augmentation for Semantic Navigation0
On the Marginal Regret Bound Minimization of Adaptive Methods0
Dissecting graph measures performance for node clustering in LFR parameter space0
Net-DNF: Effective Deep Modeling of Tabular Data0
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary ClassificationCode0
Growth, development, and structural change at the firm-level: The example of the PR China0
Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic HashingCode0
Is FFT Fast Enough for Beyond-5G Communications?0
Argument Mining Driven Analysis of Peer-ReviewsCode1
Streaming Algorithms for Stochastic Multi-armed Bandits0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models0
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models0
Understanding spiking networks through convex optimizationCode1
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading0
Experiments on transfer learning architectures for biomedical relation extraction0
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments0
Fluctuation spectra of large random dynamical systems reveal hidden structure in ecological networks0
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
Results of a Single Blind Literary Taste Test with Short Anonymized Novel FragmentsCode0
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?0
Identifying Learning Rules From Neural Network ObservablesCode1
Open Question Answering over Tables and TextCode1
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
Cluster Activation Mapping with Applications to Medical Imaging0
Evaluating and Characterizing Human RationalesCode0
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism0
Shallow-to-Deep Training for Neural Machine TranslationCode1
Can You Trust Your Pose? Confidence Estimation in Visual Localization0
Tackling unsupervised multi-source domain adaptation with optimism and consistencyCode0
Transfer among Agents: An Efficient Multiagent Transfer Learning Framework0
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES0
The Next Era of American Law Amid the Advent of Autonomous AI Legal Reasoning0
On Distributed Differential Privacy and Counting Distinct Elements0
Skeletonization and Reconstruction based on Graph Morphological Transformations0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning0
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation0
Online Class-Incremental Continual Learning with Adversarial Shapley ValueCode1
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning0
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation0
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