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f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
Subhodip Panda, Dhruv Tarsadiya, Shashwat Sourav +2
Influence estimation methods promise to explain and debug machine learning by estimating the impact of individual samples on the final model. Yet, existing methods collapse under t…
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models
Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra +1
Systematic generalization aims to evaluate reasoning about novel combinations from known components, an intrinsic property of human cognition. In this work, we study systematic gen…
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
Arnab Kumar Mondal, Prathosh A. P
Voice Activity Detection (VAD) refers to the task of identification of regions of human speech in digital signals such as audio and video. While VAD is a necessary first step in ma…