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Evaluation

345 directly classified papers

Papers per year

Papers

A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection CVPR 2021
Attribution in Scale and Space CVPR 2020
Analyzing Neural Discourse Coherence Models EMNLP 2020
diagNNose: A Library for Neural Activation Analysis EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers EMNLP 2020
What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020
Assessing Human-Parity in Machine Translation on the Segment Level EMNLP 2020
WER we are and WER we think we are EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers EMNLP 2020
Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms EMNLP 2020
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding EMNLP 2020
Learning to Evaluate Perception Models Using Planner-Centric Metrics CVPR 2020
Dataless Model Selection With the Deep Frame Potential CVPR 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020
There and Back Again: Revisiting Backpropagation Saliency Methods CVPR 2020
Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020
Computing the Testing Error Without a Testing Set CVPR 2020
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve CVPR 2020
Interpretability and Analysis in Neural NLP ACL 2020
Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020
Facet-Aware Evaluation for Extractive Summarization ACL 2020
Neuron Shapley: Discovering the Responsible Neurons NIPS 2020