Greg Ver Steeg

1. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified\n Neighborhood Mixing
   2019/04/30 by Sami Abu-El-Haija, Abu-El-Haija, Sami, Bryan Perozzi +13 · 29 citations
   Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence in Healthcare #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Social and Information Networks (cs.SI)
2. Efficient Estimation of Mutual Information for Strongly Dependent Variables
   2014/11/07 by Shuyang Gao, Greg Ver Steeg, Gao, Shuyang +3 · 16 citations
   Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
3. Prompt Perturbation Consistency Learning for Robust Language Models
   2024/02/24 by Subhrangshu Nandi, Qiang, Yao, Ninareh Mehrabi +10 · 7 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
4. Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
   2022/03/23 by Umang Gupta, Gupta, Umang, Jwala Dhamala +16 · 4 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text Readability and Simplification
5. Auto-Encoding Total Correlation Explanation
   2018/02/16 by Shuyang Gao, Gao, Shuyang, Rob Brekelmans +5 · 5 citations
   Computer Science · #Time Series Analysis and Forecasting #Neural Networks and Applications #Algorithms and Data Compression
6. All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
   2020/07/01 by Rob Brekelmans, Vaden Masrani, Brekelmans, Rob +7 · 1 voice · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Nuclear reactor physics and engineering #Statistical Methods and Inference #cs.LG #stat.ML
7. Information Transfer in Social Media
   2011/10/12 by Greg Ver Steeg, Steeg, Greg Ver, Aram Galstyan +1 · 1 citation
   Physics and Astronomy · Social Sciences · #Applications (stat.AP) #Complex Network Analysis Techniques #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
8. Compressing Deep Neural Networks via Layer Fusion
   2020/07/29 by James O’Neill, Greg Ver Steeg, Neill, James O' +3 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
9. Attributing Fair Decisions with Attention Interventions
   2021/09/08 by Ninareh Mehrabi, Mehrabi, Ninareh, Umang Gupta +7 · 1 citation
   Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
10. Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
    2023/05/30 by Umang Gupta, Aram Galstyan, Gupta, Umang +3 · 1 citation
    Computer Science · #Speech Recognition and Synthesis #Topic Modeling #Domain Adaptation and Few-Shot Learning
11. Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
    2024/07/12 by Yunshu Wu, Yingtao Luo, Wu, Yunshu +7 · 1 citation
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
12. Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models
    2023/03/02 by Umang Gupta, Gupta, Umang, Tamoghna Chattopadhyay +9 · 1 citation
    Engineering · Medicine · #COVID-19 diagnosis using AI #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging and Analysis #Quantitative Methods (q-bio.QM) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
13. Exploring the Design Space of Diffusion Bridge Models
    2024/10/28 by Shaorong Zhang, Yuanbin Cheng, Zhang, Shaorong +3 · 1 citation
    Engineering · #Concrete Corrosion and Durability #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Structural Engineering and Vibration Analysis
14. KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs
    2025/04/09 by Elan Markowitz, Markowitz, Elan, Krupa Galiya +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications