Avoiding Locks and Atomic Instructions in Shared-Memory Parallel BFS Using Optimistic Parallelization. - Jesmin Jahan Tithi; Dhruv Mátáni; Gaurav Menghani; Rezaul Alam Chowdhury (IPDPS Workshops, 2013)

A Simple Solution to the Level-Ancestor Problem. - Gaurav Menghani; Dhruv Mátáni (CoRR, 2019)

Learning from a Teacher using Unlabeled Data. - Gaurav Menghani; Sujith Ravi (CoRR, 2019)

An Easy-to-Use-and-Deploy Grid Computing Framework. - Gaurav Menghani; Anil Harwani; Yash Londhe; Kalpesh Kagresha (CoRR, 2020)

Fast Bitmap Fit: A CPU Cache Line friendly memory allocator for single object allocations. - Dhruv Mátáni; Gaurav Menghani (CoRR, 2021)

Weighted Distillation with Unlabeled Examples. - Fotis Iliopoulos; Vasilis Kontonis; Cenk Baykal; Gaurav Menghani; Khoa Trinh; Erik Vee (NeurIPS, 2022)

Robust Active Distillation. - Cenk Baykal; Khoa Trinh; Fotis Iliopoulos; Gaurav Menghani; Erik Vee (ICLR, 2023)

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. - Vasilis Kontonis; Fotis Iliopoulos; Khoa Trinh; Cenk Baykal; Gaurav Menghani; Erik Vee (NeurIPS, 2023)

SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. - Vasilis Kontonis; Fotis Iliopoulos; Khoa Trinh; Cenk Baykal; Gaurav Menghani; Erik Vee (CoRR, 2023)

Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better. - Gaurav Menghani (ACM Comput. Surv., 2023)

LAuReL: Learned Augmented Residual Layer. - Gaurav Menghani; Ravi Kumar; Sanjiv Kumar (CoRR, 2024)