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Nakul Verma

Using Deep Autoregressive Models as Causal Inference Engines

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Sep 27, 2024
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Contrastive Loss is All You Need to Recover Analogies as Parallel Lines

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Jun 14, 2023
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Improving Model Training via Self-learned Label Representations

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Sep 09, 2022
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A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More

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Jan 04, 2022
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An analysis of document graph construction methods for AMR summarization

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Nov 27, 2021
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Solving Probability and Statistics Problems by Program Synthesis

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Nov 16, 2021
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Solving Linear Algebra by Program Synthesis

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Nov 16, 2021
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Meta-Learning to Cluster

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Oct 30, 2019
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Model-Agnostic Meta-Learning using Runge-Kutta Methods

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Oct 17, 2019
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Metric Learning on Manifolds

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Feb 05, 2019
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