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TitleStatusHype
Efficient Conformal Prediction via Cascaded Inference with Expanded AdmissionCode1
Model-based Exploration of the Frontier of Behaviours for Deep Learning System TestingCode1
Counterfactual Data Augmentation using Locally Factored DynamicsCode1
Improving Chinese Segmentation-free Word Embedding With Unsupervised Association Measure0
Assessing External Validity Over Worst-case SubpopulationsCode0
Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing0
Self-Calibration Supported Robust Projective Structure-from-Motion0
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample GuaranteesCode0
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text DocumentsCode0
Multi-Task Variational Information Bottleneck0
Multi-Hypothesis Machine Translation Evaluation0
Parsing into Variable-in-situ Logico-Semantic Graphs0
NeuInfer: Knowledge Inference on N-ary Facts0
Low-Resource Generation of Multi-hop Reasoning Questions0
Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation0
Inferring epistasis from genomic data with comparable mutation and outcrossing rate0
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation LearningCode0
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing FlowsCode0
Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments0
Deep Involutive Generative Models for Neural MCMC0
Relative Deviation Margin Bounds0
Time-consistent conditional expectation under probability distortion0
A Closer Look at Invalid Action Masking in Policy Gradient AlgorithmsCode1
AutoCP: Automated Pipelines for Accurate Prediction Intervals0
Online Dense Subgraph Discovery via Blurred-Graph Feedback0
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising AutoencodersCode0
PAC-Bayes Analysis Beyond the Usual Bounds0
Calibrated Adversarial Refinement for Stochastic Semantic SegmentationCode1
Non-Convex Structured Phase Retrieval0
Verifying Individual Fairness in Machine Learning Models0
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning0
Valid Causal Inference with (Some) Invalid Instruments0
Dataset for Automatic Summarization of Russian NewsCode1
Probabilistic Fair Clustering0
Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks0
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on GraphsCode1
MoFlow: An Invertible Flow Model for Generating Molecular GraphsCode1
Efficient nonparametric statistical inference on population feature importance using Shapley valuesCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
Augmented Sliced Wasserstein DistancesCode1
Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel0
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality0
The leave-one-covariate-out conditional randomization testCode0
Cascaded deep monocular 3D human pose estimation with evolutionary training dataCode1
Uncertainty quantification using martingales for misspecified Gaussian processesCode0
Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed EnvironmentsCode0
Learning to Communicate Using Counterfactual Reasoning0
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks0
An Edge Information and Mask Shrinking Based Image Inpainting Approach0
CNN-Based Semantic Change Detection in Satellite Imagery0
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