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Sanjiv Kumar

Google Research

Balancing Robustness and Sensitivity using Feature Contrastive Learning

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May 19, 2021
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Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces

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May 12, 2021
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Balancing Constraints and Submodularity in Data Subset Selection

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Apr 26, 2021
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On the Reproducibility of Neural Network Predictions

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Feb 05, 2021
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Kernelized Classification in Deep Networks

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Dec 08, 2020
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Modifying Memories in Transformer Models

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Dec 01, 2020
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Coping with Label Shift via Distributionally Robust Optimisation

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Oct 23, 2020
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Semantic Label Smoothing for Sequence to Sequence Problems

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Oct 15, 2020
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Learning discrete distributions: user vs item-level privacy

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Jul 28, 2020
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Multi-Stage Influence Function

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Jul 17, 2020
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