d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding. - Xiang Xu; Xiong Zhou; Ragav Venkatesan; Gurumurthy Swaminathan; Orchid Majumder (CVPR, 2019)

Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. - Michele Donini; Luca Franceschi 001; Massimiliano Pontil; Orchid Majumder; Paolo Frasconi (CoRR, 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)

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. - Qing Liu; Orchid Majumder; Alessandro Achille; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ECCV (7), 2020)

Marthe: Scheduling the Learning Rate Via Online Hypergradients. - Michele Donini; Luca Franceschi 001; Orchid Majumder; Massimiliano Pontil; Paolo Frasconi (IJCAI, 2020)

Incremental Learning for Metric-Based Meta-Learners. - Qing Liu; Orchid Majumder; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (CoRR, 2020)

Estimating informativeness of samples with Smooth Unique Information. - Hrayr Harutyunyan; Alessandro Achille; Giovanni Paolini; Orchid Majumder; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICLR, 2021)

Revisiting Contrastive Learning for Few-Shot Classification. - Orchid Majumder; Avinash Ravichandran; Subhransu Maji; Marzia Polito; Rahul Bhotika; Stefano Soatto (CoRR, 2021)

On the Scalability of Diffusion-based Text-to-Image Generation. - Hao Li; Yang Zou; Ying Wang; Orchid Majumder; Yusheng Xie; R. Manmatha; Ashwin Swaminathan; Zhuowen Tu; Stefano Ermon; Stefano Soatto (CVPR, 2024)

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation. - Hao Li; Shamit Lal; Zhiheng Li; Yusheng Xie; Ying Wang; Yang Zou; Orchid Majumder; R. Manmatha; Zhuowen Tu; Stefano Ermon; Stefano Soatto; Ashwin Swaminathan (CoRR, 2024)