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05/26/2023
Theoretical and Practical Perspectives on what Influence Functions Do
Influence functions (IF) have been seen as a technique for explaining mo...
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04/17/2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Modern deep models for summarization attains impressive benchmark perfor...
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10/07/2022
Breaking BERT: Evaluating and Optimizing Sparsified Attention
Transformers allow attention between all pairs of tokens, but there is r...
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12/06/2021
Scaling Up Influence Functions
We address efficient calculation of influence functions for tracking pre...
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11/14/2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Feature attribution a.k.a. input salience methods which assign an import...
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06/25/2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Unsupervised multi-object scene decomposition is a fast-emerging problem...
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10/21/2019
