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Evaluation

345 directly classified papers

Papers per year

Papers

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NIPS 2020
Identifying Model Weakness with Adversarial Examiner AAAI 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020
Sanity Checks for Saliency Metrics AAAI 2020
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks AAAI 2020
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020
On The Evaluation of Machine Translation Systems Trained With Back-Translation ACL 2020
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction ACL 2020
Cold Case: The Lost MNIST Digits NIPS 2019
Higher-order Comparisons of Sentence Encoder Representations EMNLP 2019
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons EMNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019
Tightness-Aware Evaluation Protocol for Scene Text Detection CVPR 2019
Spectral Metric for Dataset Complexity Assessment CVPR 2019
Sensitive-Sample Fingerprinting of Deep Neural Networks CVPR 2019
Rethinking the Evaluation of Video Summaries CVPR 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks CVPR 2019
Demystifying Black-box Models with Symbolic Metamodels NIPS 2019
Certifying Geometric Robustness of Neural Networks NIPS 2019
A Benchmark for Interpretability Methods in Deep Neural Networks NIPS 2019
Evaluating BERT for natural language inference: A case study on the CommitmentBank EMNLP 2019
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization EMNLP 2019
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning EMNLP 2019