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Tracking Ground Targets with Road Constraints Using a JMS-GM-PHD Filter

2021

The probability hypothesis density filter with linear Gaussian jump Markov system multi-target models is an attractive approach to tracking multiple maneuvering targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. However, …

Efficient Shapley Values Estimation by Amortization for Text Classification

2023 · arXiv (Cornell University)

Despite the popularity of Shapley Values in explaining neural text classification models, computing them is prohibitive for large pretrained models due to a large number of model evaluations. In practice, Shapley Values are often estimated …

QuAC: Question Answering in Context

2018

We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1) a student who poses a sequence of freeform …

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

2017

We study a symmetric collaborative dialogue setting in which two agents, each with private knowledge, must strategically communicate to achieve a common goal. The open-ended dialogue state in this setting poses new challenges for existing …

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

2018

We know very little about how neural language models (LM) use prior linguistic context.In this paper, we investigate the role of context in an LSTM LM, through ablation studies.Specifically, we analyze the increase in perplexity …

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual

2019

Statistical natural language inference (NLI) models are susceptible to learning dataset bias: superficial cues that happen to associate with the label on a particular dataset, but are not useful in general, e.g., negation words indicate …