Publication How Far Can Fairness Constraints Help Recover From Biased Data? Mohit Sharma, Amit Deshpande ArXiv | December 2023, Vol abs/2312.10396
Publication NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das IEEE Big Data 2023 | December 2023 Special session on Machine Learning on Big Data (MLBD)
Publication Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin December 2023
Publication Scalable Fair Influence Maximization Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
Publication Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu NeurIPS 2023 | December 2023 Project
Publication Parallel Submodular Function Minimization Andrei Graur, Haotian Jiang, Aaron Sidford NeurIPS 2023 | December 2023 Spotlight Presentation Spotlight Presentation
Publication LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang ICCV’23 | December 2023
Publication Differentially Private Approximate Near Neighbor Counting in High Dimensions Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan NeurIPS 2023 | December 2023 Spotlight Presentation Project
Publication Tight Bounds for Volumetric Spanners and Applications Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian NeurIPS 2023 | December 2023
Publication Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems …, Qingwei Lin 林庆维, … December 2023