Orchid Majumder

According to our database, Orchid Majumder authored at least 8 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Revisiting Contrastive Learning for Few-Shot Classification.

Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto

CoRR, 2021

Estimating informativeness of samples with Smooth Unique Information.

Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Incremental Learning for Metric-Based Meta-Learners.

Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CoRR, 2020

Marthe: Scheduling the Learning Rate Via Online Hypergradients.

Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment.

Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

FineText: Text Classification via Attention-based Language Model Fine-tuning.

Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare

CoRR, 2019

Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm.

Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi

CoRR, 2019

d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding.

Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019