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TitleStatusHype
Anatomical Priors for Image Segmentation via Post-Processing with Denoising AutoencodersCode0
An Effective Algorithm for Learning Single Occurrence Regular Expressions with Interleaving—0
Computing Valid p-values for Image Segmentation by Selective Inference—0
Semantics and Homothetic Clustering of Hafez Poetry—0
SemEval-2019 Task 4: Hyperpartisan News Detection—0
Bayesian Inference Semantics: A Modelling System and A Test SuiteCode0
YNUWB at SemEval-2019 Task 6: K-max pooling CNN with average meta-embedding for identifying offensive language—0
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant SupervisionCode0
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks—0
On Policy Evaluation with Aggregate Time-Series Shocks—0
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representationCode1
Learning Nearest Neighbor Graphs from Noisy Distance SamplesCode0
Multiple Causes: A Causal Graphical View—0
Secrecy Outage Analysis Over Fluctuating Two-Ray Fading Channels—0
GraphNVP: An Invertible Flow Model for Generating Molecular GraphsCode0
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling—0
Conditions on Features for Temporal Difference-Like Methods to Converge—0
Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions—0
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust ClassificationCode0
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder TrainingCode0
Adaptive, Distribution-Free Prediction Intervals for Deep Networks—0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud—0
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data—0
A self-organising eigenspace map for time series clustering—0
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks—0
MAP Inference via L2-Sphere Linear Program ReformulationCode0
Conformalized Quantile RegressionCode0
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis—0
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification TasksCode0
Modeling the Long Term Future in Model-Based Reinforcement Learning—0
INFORMATION MAXIMIZATION AUTO-ENCODING—0
Learning Restricted Regular Expressions with Interleaving—0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
Sample Amplification: Increasing Dataset Size even when Learning is Impossible—0
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images—0
D-VAE: A Variational Autoencoder for Directed Acyclic GraphsCode0
Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings—0
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification—0
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model—0
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly—0
Testing for differential abundance in compositional counts data, with application to microbiome studiesCode0
Efficient functional estimation and the super-oracle phenomenon—0
Total Denoising: Unsupervised Learning of 3D Point Cloud CleaningCode0
Dynamic Node Embeddings from Edge Streams—0
Autoregressive Energy MachinesCode0
Learning joint reconstruction of hands and manipulated objectsCode0
Automated Search for Configurations of Deep Neural Network ArchitecturesCode0
Unsupervised 3D Pose Estimation with Geometric Self-Supervision—0
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning—0
An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script—0
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