training data

Changing the World by Changing the Data ACL 2021 Influence Estimation for Generative Adversarial Networks ICLR 2021 Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech ACL 2021 On the Difficulty of Membership Inference Attacks CVPR 2021 On Training Instance Selection for Few-Shot Neural Text Generation ACL 2021 Quantifying Appropriateness of Summarization Data for Curriculum Learning EACL 2021 Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021 Unsupervised Multi-hop Question Answering by Question Generation NAACL 2021 What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus ACL 2021 Can Automatic Post-Editing Improve NMT? EMNLP 2020 Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020 Dynamic Curriculum Learning for Low-Resource Neural Machine Translation COLING 2020 Efficient Estimation of Influence of a Training Instance EMNLP 2020 Estimating Training Data Influence by Tracing Gradient Descent NeurIPS 2020 Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020 Investigating Sampling Bias in Abusive Language Detection EMNLP 2020 It’s Not What Machines Can Learn, It’s What We Cannot Teach ICML 2020 Tagged Back-translation Revisited: Why Does It Really Work? ACL 2020 Temporally-Informed Analysis of Named Entity Recognition ACL 2020 What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation NeurIPS 2020 Better Modeling of Incomplete Annotations for Named Entity Recognition NAACL 2019 Experiments with ad hoc ambiguous abbreviation expansion EMNLP 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NeurIPS 2019 On the Accuracy of Influence Functions for Measuring Group Effects NeurIPS 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019