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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 451–500 of 796 papers

TitleStatusHype
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments—0
Fluctuation spectra of large random dynamical systems reveal hidden structure in ecological networks—0
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
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks—0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
Cluster Activation Mapping with Applications to Medical Imaging—0
Evaluating and Characterizing Human RationalesCode0
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism—0
Can You Trust Your Pose? Confidence Estimation in Visual Localization—0
Tackling unsupervised multi-source domain adaptation with optimism and consistencyCode0
Transfer among Agents: An Efficient Multiagent Transfer Learning Framework—0
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES—0
The Next Era of American Law Amid the Advent of Autonomous AI Legal Reasoning—0
On Distributed Differential Privacy and Counting Distinct Elements—0
Skeletonization and Reconstruction based on Graph Morphological Transformations—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation—0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning—0
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation—0
Obtaining Adjustable Regularization for Free via Iterate AveragingCode0
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations—0
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation—0
Transferring Inter-Class Correlation—0
Quantum versus Classical Generative Modelling in Finance—0
UNIPoint: Universally Approximating Point Processes Intensities—0
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior—0
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure—0
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint—0
On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts—0
Learn to Propagate Reliably on Noisy Affinity Graphs—0
How Retroactivity Affects the Behavior of Incoherent Feed-Forward Loops—0
Stochastic Stein DiscrepanciesCode0
Knowledge Distillation Beyond Model Compression—0
Compositionality and Capacity in Emergent Languages—0
Robust Linear Regression: Optimal Rates in Polynomial Time—0
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariatesCode0
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation—0
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures—0
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks—0
On the Divergence of Decentralized Non-Convex Optimization—0
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition TasksCode0
On Sparsity in Overparametrised Shallow ReLU Networks—0
Rethinking the Role of Gradient-Based Attribution Methods for Model InterpretabilityCode0
Fourier Sparse Leverage Scores and Approximate Kernel Learning—0
DNF-Net: A Neural Architecture for Tabular Data—0
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization—0
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance—0
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