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Statistical Learning

4,117 papers

Papers per year

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Papers

Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020
Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020
A Characteristic Function Approach to Deep Implicit Generative Modeling CVPR 2020
Uncertainty Based Camera Model Selection CVPR 2020
Statistical Power and Translationese in Machine Translation Evaluation EMNLP 2020
Scaling Hidden Markov Language Models EMNLP 2020
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing EMNLP 2020
Speakers Fill Lexical Semantic Gaps with Context EMNLP 2020
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model EMNLP 2020
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions EMNLP 2020
With Little Power Comes Great Responsibility EMNLP 2020
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction EMNLP 2020
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020
Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models EMNLP 2020
Measuring Linguistic Diversity During COVID-19 EMNLP 2020
On Log-Loss Scores and (No) Privacy EMNLP 2020
The impact of preprint servers in the formation of novel ideas EMNLP 2020
Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020
Imputing typological values via phylogenetic inference EMNLP 2020
Results of the WMT20 Metrics Shared Task EMNLP 2020
Towards a Better Evaluation of Metrics for Machine Translation EMNLP 2020
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization ICML 2020
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions ICML 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020