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61
Extracting Event Temporal Relations via Hyperbolic Geometry ...
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62
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.808/ Abstract: Influence functions approximate the "influences" of training data-points for test predictions and have a wide variety of applications. Despite the popularity, their computational cost does not scale well with model and training data size. We present FastIF, a set of simple modifications to influence functions that significantly improves their run-time. We use k-Nearest Neighbors (kNN) to narrow the search space down to a subset of good candidate data points, identify the configurations that best balance the speed-quality trade-off in estimating the inverse Hessian-vector product, and introduce a fast parallel variant. Our proposed method achieves about 80X speedup while being highly correlated with the original influence values. With the availability of the fast influence functions, we demonstrate their usefulness in four applications. First, we examine whether influential data-points can "explain" test time behavior using the ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Inference; Natural Language Processing
URL: https://underline.io/lecture/37878-fastif-scalable-influence-functions-for-efficient-model-interpretation-and-debugging
https://dx.doi.org/10.48448/z3hp-d992
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63
Contrastive Explanations for Model Interpretability ...
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64
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
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65
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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66
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity ...
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67
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ...
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68
Visual Goal-Step Inference using wikiHow ...
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69
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
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70
Truth-Conditional Captions for Time Series Data ...
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71
Knowledge Base Completion Meets Transfer Learning ...
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72
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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73
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
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74
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
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75
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ...
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76
Towards Zero-Shot Knowledge Distillation for Natural Language Processing ...
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77
Corrected CBOW Performs as well as Skip-gram ...
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78
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations ...
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79
Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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80
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
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