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Nikaash Puri

2 accepted papers

2023

HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model

ACL 2023findings

Hierarchical Topic Models (HTMs) are useful for discovering topic hierarchies in a collection of documents. However, traditional HTMs often produce hierarchies where lower-level topics are unrelated and not specific enough to their higher-level topics. Additionally, these methods can be computationa…

2020

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution

ICLR 2020poster

As deep reinforcement learning (RL) is applied to more tasks, there is a need to visualize and understand the behavior of learned agents. Saliency maps explain agent behavior by highlighting the features of the input state that are most relevant for the agent in taking an action. Existing perturbati…

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