Ghosh, Joydeep
- Explainable Machine Learning in Deployment
2019/09/13 by Bhatt, Umang, Xiang, Alice, Sharma, Shubham +7 · 18 citations
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
2019/07/22 by Shalmali Joshi, Oluwasanmi Koyejo, Joshi, Shalmali +7 · 16 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference
- SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
2024/05/30 by Vijay Lingam, Atula Tejaswi, Lingam, Vijay +17 · 17 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Filter Design and Implementation #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Scalable Greedy Feature Selection via Weak Submodularity
2017/03/08 by Rajiv Khanna, Khanna, Rajiv, Ethan R. Elenberg +7 · 3 citations
Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Interpreting Black Box Predictions using Fisher Kernels
2018/10/23 by Rajiv Khanna, Been Kim, Khanna, Rajiv +5 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Exploring Explainability in Video Action Recognition
2024/04/13 by Avinab Saha, Shashank Gupta, Saha, Avinab +7 · 4 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human Pose and Action Recognition
- FaiR-N: Fair and Robust Neural Networks for Structured Data
2020/10/13 by Sharma, Shubham, Gee, Alan H., Paydarfar, David +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data
2016/09/14 by Gunasekar, Suriya, Ho, Joyce C., Ghosh, Joydeep +5 · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences
- Preference Completion from Partial Rankings
2016/11/14 by Suriya Gunasekar, Gunasekar, Suriya, Oluwasanmi Koyejo +3 · 1 citation
Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Sparse and Compressive Sensing Techniques
- Measurement-wise Occlusion in Multi-object Tracking
2018/05/21 by Motro, Michael, Ghosh, Joydeep · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
- xGEMs: Generating Examplars to Explain Black-Box Models
2018/06/22 by Joshi, Shalmali, Koyejo, Oluwasanmi, Kim, Been +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Biased Models Have Biased Explanations
2020/12/20 by Jain, Aditya, Ravula, Manish, Ghosh, Joydeep · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Architecture Agnostic Federated Learning for Neural Networks
2022/02/15 by Makhija, Disha, Han, Xing, Ho, Nhat +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Federated Self-supervised Learning for Heterogeneous Clients
2022/05/25 by Makhija, Disha, Ho, Nhat, Ghosh, Joydeep · 1 citation
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Split Localized Conformal Prediction
2022/06/27 by Han, Xing, Tang, Ziyang, Ghosh, Joydeep +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Designing Robust Transformers using Robust Kernel Density Estimation
2022/10/11 by Xing Han, Tongzheng Ren, Han, Xing +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Dynamic Combination of Heterogeneous Models for Hierarchical Time Series
2021/12/22 by Xing Han, Han, Xing, Jing Hu +3 · 1 citation
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
- Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes
2024/03/28 by Song Wang, Yiliang Zhou, Wang, Song +13 · 1 citation
Social Sciences · #Computational and Text Analysis Methods
- Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
2015/12/30 by Ayan Acharya, Acharya, Ayan, Joydeep Ghosh +3 · 1 citation
Computer Science · Social Sciences · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Blind Source Separation Techniques #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (stat.ML) #Methodology (stat.ME)