Das, Kamalika

12 publications

ECML-PKDD 2025 Transaction Categorization with Relational Deep Learning in QuickBooks Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh V. Chawla, Kamalika Das

AAAI 2024 Customizing Language Model Responses with Contrastive In-Context Learning Xiang Gao, Kamalika Das

WACV 2024 DECDM: Document Enhancement Using Cycle-Consistent Diffusion Models Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Sricharan Kumar

AISTATS 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods Jiaxin Zhang, Kamalika Das, Sricharan Kumar

ICMLW 2024 PhaseEvo: Towards Unified Long-Context Prompt Optimization for Large Language Models Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Sricharan Kumar

NeurIPSW 2023 A Divide-Conquer-Reasoning Approach to Consistency Evaluation and Improvement in Blackbox Large Language Models Wendi Cui, Jiaxin Zhang, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley Malin, Sricharan Kumar

NeurIPS 2023 Interactive Multi-Fidelity Learning for Cost-Effective Adaptation of Language Model with Sparse Human Supervision Jiaxin Zhang, Zhuohang Li, Kamalika Das, Sricharan Kumar

ICLRW 2023 On the Robustness of Diffusion Inversion in Image Manipulation Jiaxin Zhang, Kamalika Das, Sricharan Kumar

ECML-PKDD 2017 ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert Kamalika Das, Ilya Avrekh, Bryan L. Matthews, Manali Sharma, Nikunj C. Oza

ECML-PKDD 2017 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski

ECML-PKDD 2016 Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza

ECML-PKDD 2013 Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik