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01/26/2021
Revisiting Contrastive Learning for Few-Shot Classification
Instance discrimination based contrastive learning has emerged as a lead...
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01/17/2021
Estimating informativeness of samples with Smooth Unique Information
We define a notion of information that an individual sample provides to ...
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02/11/2020
Incremental Learning for Metric-Based Meta-Learners
Majority of the modern meta-learning methods for few-shot classification...
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10/25/2019
FineText: Text Classification via Attention-based Language Model Fine-tuning
Training deep neural networks from scratch on natural language processin...
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10/18/2019
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm
We study the problem of fitting task-specific learning rate schedules fr...
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05/29/2019