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Publication search results
found 350 matches
- 2024
- Disha Makhija, Joydeep Ghosh, Yejin Kim:
Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR abs/2402.17705 (2024) - Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng:
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR abs/2403.19432 (2024) - 2023
- Hsing-Huan Chung, Joydeep Ghosh:
Incremental Unsupervised Domain Adaptation on Evolving Graphs. CoLLAs 2023: 683-702 - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. IJCAI 2023: 492-500 - Xing Han, Jing Hu, Joydeep Ghosh:
A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. IJCNN 2023: 1-8 - Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho:
Designing Robust Transformers using Robust Kernel Density Estimation. NeurIPS 2023 - Disha Makhija, Joydeep Ghosh, Nhat Ho:
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. CoRR abs/2306.07959 (2023) - 2022
- Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath:
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248: 108818 (2022) - Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP 2022: 210-224 - Xing Han, Jing Hu, Joydeep Ghosh:
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series. ICDM (Workshops) 2022: 1207-1216 - Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh:
Architecture Agnostic Federated Learning for Neural Networks. ICML 2022: 14860-14870 - Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh:
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. WWW (Companion Volume) 2022: 705-715 - Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh:
Architecture Agnostic Federated Learning for Neural Networks. CoRR abs/2202.07757 (2022) - Disha Makhija, Nhat Ho, Joydeep Ghosh:
Federated Self-supervised Learning for Heterogeneous Clients. CoRR abs/2205.12493 (2022) - Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh, Nhat Ho:
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering. CoRR abs/2205.14104 (2022) - Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu:
Split Localized Conformal Prediction. CoRR abs/2206.13092 (2022) - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. CoRR abs/2210.04995 (2022) - Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho:
Robustify Transformers with Robust Kernel Density Estimation. CoRR abs/2210.05794 (2022) - Shubham Sharma, Alan H. Gee, Jette Henderson, Joydeep Ghosh:
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. CoRR abs/2210.06578 (2022) - Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR abs/2212.01641 (2022) - 2021
- Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) 2021: 3547-3561 - Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh:
FaiR-N: Fair and Robust Neural Networks for Structured Data. AIES 2021: 946-955 - Xing Han, Sambarta Dasgupta, Joydeep Ghosh:
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. AISTATS 2021: 190-198 - Xing Han, Joydeep Ghosh:
Model-Agnostic Explanations using Minimal Forcing Subsets. IJCNN 2021: 1-8 - Xing Han, Sambarta Dasgupta, Joydeep Ghosh:
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. CoRR abs/2102.12612 (2021) - Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. CoRR abs/2106.09502 (2021) - Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh:
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. CoRR abs/2112.06888 (2021) - Xing Han, Jing Hu, Joydeep Ghosh:
MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series. CoRR abs/2112.11669 (2021) - 2020
- Shubham Sharma, Jette Henderson, Joydeep Ghosh:
CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. AIES 2020: 166-172 - Neil Gupta, Joydeep Ghosh, Gunjan Gupta, Sheshank Shankar, Alex Tarasar:
Detection and Visualization of Dense Subgroups at Multiple Resolutions in Large Social Networks. ASONAM 2020: 73-80
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