Ramana Kompella

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Video Analytics

General Intelligence

Top Venues

Publications

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
Adaptive Deep Neural Network Inference Optimization with EENet. WACV (2024)
Tarun Raheja, Raunak Sinha, Advit Deepak, Will Healy, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks. LREC/COLING (2024)
Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu
A Survey on Large Language Model-Based Game Agents. CoRR (2024)
Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
Large Language Models Can Learn Temporal Reasoning. CoRR (2024)
Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
Large Language Models Can Learn Temporal Reasoning. ACL (1) (2024)
Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen
A Method for Bilevel Optimization with Convex Lower-Level Problem. ICASSP (2024)
Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek
Training-Free Semantic Segmentation via LLM-Supervision. CoRR (2024)
Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu
EENet: Learning to Early Exit for Adaptive Inference. CoRR (2023)
Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella
Mitigating Group Bias in Federated Learning: Beyond Local Fairness. CoRR (2023)
Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops (2023)
Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella
Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops (2023)
Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu
Amplifying Object Tracking Performance on Edge Devices. CogMI (2023)
Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. CoRR (2023)
Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS (2023)
Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, Yan Yan
Causal-DFQ: Causality Guided Data-free Network Quantization. CoRR (2023)
Shahrooz Pouryousef, Hassan Shapourian, Alireza Shabani, Ramana Kompella, Don Towsley
Quantum Network Planning for Utility Maximization. CoRR (2023)
Hugo Latapie, Mina Gabriel, Ramana Kompella
Hybrid AI for IoT Actionable Insights & Real-Time Data-Driven Networks. IWSSL (2022)
Xin Jin, Charalampos Katsis, Fan Sang, Jiahao Sun, Ashish Kundu, Ramana Kompella
Edge Security: Challenges and Issues. CoRR (2022)
Hugo Latapie, Özkan Kiliç, Gaowen Liu, Yan Yan, Ramana Kompella, Pei Wang, Kristinn R. Thórisson, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. CoRR (2021)
Hugo Latapie, Özkan Kiliç, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thórisson
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. J. Artif. Intell. Conscious. 8 (2) (2021)
Yanzhao Wu, Ling Liu, Ramana Kompella
Parallel Detection for Efficient Video Analytics at the Edge. CogMI (2021)
Yanzhao Wu, Ling Liu, Ramana Kompella
Parallel Detection for Efficient Video Analytics at the Edge. CoRR (2021)