Akhilesh Gotmare

According to our database, Akhilesh Gotmare authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM.

Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi

CoRR, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi

CoRR, 2023

Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models.

Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty, Steven C. H. Hoi

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Cascaded Fast and Slow Models for Efficient Semantic Code Search.

Akhilesh Deepak Gotmare, Junnan Li, Shafiq R. Joty, Steven C. H. Hoi

CoRR, 2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.

Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GeDi: Generative Discriminator Guided Sequence Generation.

Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

Unsupervised robust nonparametric learning of hidden community properties.

Mikhail A. Langovoy, Akhilesh Gotmare, Martin Jaggi

Math. Found. Comput., 2019

A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation.

Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Using Mode Connectivity for Loss Landscape Analysis.

Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

CoRR, 2018

2017

Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review.

Akhilesh Gotmare, Sankha Subhra Bhattacharjee, Rohan Patidar, Nithin V. George

Swarm Evol. Comput., 2017

Unsupervised robust nonparametric learning of hidden community properties.

Mikhail A. Langovoy, Akhilesh Gotmare, Martin Jaggi, Suvrit Sra

CoRR, 2017

2015

Nonlinear system identification using a cuckoo search optimized adaptive Hammerstein model.

Akhilesh Gotmare, Rohan Patidar, Nithin V. George

Expert Syst. Appl., 2015