Publication How Far Can Fairness Constraints Help Recover From Biased Data? Mohit Sharma, Amit Deshpande ArXiv | December 2023
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 MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas C. Müller, Carlo Curino, Raghu Ramakrishnan arXiv | 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