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Evaluation

345 directly classified papers

Papers per year

Papers

Pitfalls in the Evaluation of Sentence Embeddings ACL 2019
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ACL 2019
QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019
Auditing Deep Learning processes through Kernel-based Explanatory Models EMNLP 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019
Visualizing the Loss Landscape of Neural Nets NIPS 2018
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study EMNLP 2018
When data permutations are pathological: the case of neural natural language inference EMNLP 2018
Portable, layer-wise task performance monitoring for NLP models EMNLP 2018
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation EMNLP 2018
Diachronic degradation of language models: Insights from social media ACL 2018
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement ACL 2018
A Boo(n) for Evaluating Architecture Performance ICML 2018
What Do Deep Networks Like to See? CVPR 2018
Massive Exploration of Neural Machine Translation Architectures EMNLP 2017
Spatially Binned ROC: A Comprehensive Saliency Metric CVPR 2016
Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent CVPR 2016
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models CVPR 2016
How to Evaluate Foreground Maps? CVPR 2014