Akhilesh Gotmare

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback	2024	Yün Peng Akhilesh Gotmare Michael R. Lyu Caiming Xiong Silvio Savarese Doyen Sahoo
+	CodeT5+: Open Code Large Language Models for Code Understanding and Generation	2023	Yue Wang Hung Lê Akhilesh Gotmare Nghi D. Q. Bui Junnan Li Steven C. H. Hoi
+	CodeTF: One-stop Transformer Library for State-of-the-art Code LLM	2023	Nghi D. Q. Bui H Le Yue Wang Junnan Li Akhilesh Gotmare Steven C. H. Hoi
+ PDF Chat	CodeT5+: Open Code Large Language Models for Code Understanding and Generation	2023	Yue Wang Hung Lê Akhilesh Gotmare Nghi Bui Junnan Li Steven C. H. Hoi
+	CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning	2022	H Le Yue Wang Akhilesh Gotmare Silvio Savarese Steven C. H. Hoi
+	GeDi: Generative Discriminator Guided Sequence Generation	2021	Ben Krause Akhilesh Gotmare Bryan McCann Nitish Shirish Keskar Shafiq Joty Richard Socher Nazneen Fatema Rajani
+	GeDi: Generative Discriminator Guided Sequence Generation	2021	Ben Krause Akhilesh Gotmare Bryan McCann Nitish Shirish Keskar Shafiq Joty Richard Socher Nazneen Fatema Rajani
+	Align before Fuse: Vision and Language Representation Learning with Momentum Distillation	2021	Junnan Li Ramprasaath R. Selvaraju Akhilesh Gotmare Shafiq Joty Caiming Xiong Steven C. H. Hoi
+	Cascaded Fast and Slow Models for Efficient Semantic Code Search	2021	Akhilesh Gotmare Junnan Li Shafiq Joty Steven C. H. Hoi
+ PDF Chat	GeDi: Generative Discriminator Guided Sequence Generation	2020	Ben Krause Akhilesh Gotmare Bryan McCann Nitish Shirish Keskar Shafiq Joty Richard Socher Nazneen Fatema Rajani
+	GeDi: Generative Discriminator Guided Sequence Generation	2020	Ben Krause Akhilesh Gotmare Bryan McCann Nitish Shirish Keskar Shafiq Joty Richard Socher Nazneen Fatema Rajani
+ PDF Chat	Unsupervised robust nonparametric learning of hidden community properties	2019	Mikhail Langovoy Akhilesh Gotmare Martin Jaggi
+	A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation	2018	Akhilesh Gotmare Nitish Shirish Keskar Caiming Xiong Richard Socher
+ PDF Chat	A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation	2018	Akhilesh Gotmare Nitish Shirish Keskar Caiming Xiong Richard Socher
+	A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation.	2018	Akhilesh Gotmare Nitish Shirish Keskar Caiming Xiong Richard Socher
+	Using Mode Connectivity for Loss Landscape Analysis.	2018	Akhilesh Gotmare Nitish Shirish Keskar Caiming Xiong Richard Socher
+	Using Mode Connectivity for Loss Landscape Analysis	2018	Akhilesh Gotmare Nitish Shirish Keskar Caiming Xiong Richard Socher
+	A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation	2018	Akhilesh Gotmare Nitish Shirish Keskar Caiming Xiong Richard Socher
+	Unsupervised robust nonparametric learning of hidden community properties	2017	Mikhail Langovoy Akhilesh Gotmare Martin Jaggi Suvrit Sra
+	Unsupervised robust nonparametric learning of hidden community properties	2017	Mikhail Langovoy Akhilesh Gotmare Martin Jaggi

Common Coauthors

Coauthor	Papers Together
Nitish Shirish Keskar	10
Richard Socher	10
Caiming Xiong	8
Shafiq Joty	6
Steven C. H. Hoi	6
Ben Krause	4
Nazneen Fatema Rajani	4
Mikhail Langovoy	3
Bryan McCann	3
Martin Jaggi	3
Yue Wang	3
Junnan Li	2
Silvio Savarese	2
Hung Lê	2
H Le	2
Nghi D. Q. Bui	2
Junnan Li	2
Doyen Sahoo	1
Suvrit Sra	1
Nghi Bui	1
Bryan McCann	1
Michael R. Lyu	1
Ramprasaath R. Selvaraju	1
Yün Peng	1
Yue Wang	1
Junnan Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Social Biases in NLP Models as Barriers for Persons with Disabilities	2020	Ben Hutchinson Vinodkumar Prabhakaran Emily Denton Kellie Webster Yu Zhong Stephen Denuyl	2
+ PDF Chat	Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification	2019	Daniel Borkan Lucas Dixon Jeffrey Sorensen Nithum Thain Lucy Vasserman	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	2
+	CoCon: A Self-Supervised Approach for Controlled Text Generation	2020	Alvin Chan Yew-Soon Ong Bill Tuck Weng Pung Aston Zhang Jie Fu	2
+ PDF Chat	Pragmatically Informative Text Generation	2019	Sheng Shen Daniel Fried Jacob Andreas Dan Klein	2
+	Controllable Abstractive Summarization	2018	Angela Fan David Grangier Michael Auli	2
+	Pragmatically Informative Image Captioning with Character-Level Inference	2018	Reuben Cohn-Gordon Noah D. Goodman Christopher Potts	2
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	2
+	Plug and Play Language Models: A Simple Approach to Controlled Text Generation	2019	Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino Jason Yosinski Rosanne Liu	2
+ PDF Chat	Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation	2020	Emily Dinan Angela Fan Adina Williams Jack Urbanek Douwe Kiela Jason Weston	2
+ PDF Chat	Randomized algorithms for statistical image analysis and site percolation on square lattices	2013	Mikhail Langovoy Olaf Wittich	2
+	Recipes for Safety in Open-domain Chatbots	2020	Jing Xu Da Young Ju Margaret Li Y-Lan Boureau Jason Weston Emily Dinan	2
+	CTRL: A Conditional Transformer Language Model for Controllable Generation	2019	Nitish Shirish Keskar Bryan McCann Lav R. Varshney Caiming Xiong Richard Socher	2
+	Snapshot Ensembles: Train 1, get M for free	2017	Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger	2
+	Controlling Linguistic Style Aspects in Neural Language Generation	2017	Jessica Ficler Yoav Goldberg	2
+	Character-level Convolutional Networks for Text Classification	2015	Xiang Zhang Junbo Zhao Yann LeCun	2
+ PDF Chat	Learning to Write with Cooperative Discriminators	2018	Ari Holtzman Jan Buys Maxwell Forbes Antoine Bosselut David Golub Yejin Choi	2
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	2
+ PDF Chat	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient	2017	Lantao Yu Weinan Zhang Jun Wang Yong Yu	2
+	Generative and Discriminative Text Classification with Recurrent Neural Networks	2017	Dani Yogatama Chris Dyer Ling Wang Phil Blunsom	2
+	The Curious Case of Neural Text Degeneration	2020	Ari Holtzman Jan Buys Leo Du Maxwell Forbes Yejin Choi	2
+	RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models	2020	Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith	2
+	Plug-and-Play Conversational Models	2020	Andrea Madotto Etsuko Ishii Zhaojiang Lin Sumanth Dathathri Pascale Fung	2
+ PDF Chat	Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books	2015	Yukun Zhu Ryan Kiros Rich Zemel Ruslan Salakhutdinov Raquel Urtasun Antonio Torralba Sanja Fidler	2
+	The Marginal Value of Adaptive Gradient Methods in Machine Learning	2017	Ashia C. Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht	2
+ PDF Chat	A flexibly shaped spatial scan statistic for detecting clusters	2005	Toshiro Tango Kunihiko Takahashi	2
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Günter Klambauer Sepp Hochreiter	2
+	Learning to Generate Reviews and Discovering Sentiment	2017	Alec Radford Rafał Józefowicz Ilya Sutskever	2
+	Fine-Tuning Language Models from Human Preferences	2019	Daniel M. Ziegler Nisan Stiennon Jeffrey Wu T. B. Brown Alec Radford Dario Amodei Paul F. Christiano Geoffrey Irving	2
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang	2
+	Averaging Weights Leads to Wider Optima and Better Generalization	2018	Pavel Izmailov D. A. Podoprikhin Timur Garipov Dmitry Vetrov Andrew Gordon Wilson	2
+	Essentially No Barriers in Neural Network Energy Landscape	2018	Felix Draxler Kambis Veschgini Manfred Salmhofer Fred A. Hamprecht	2
+	Explain Yourself! Leveraging Language Models for Commonsense Reasoning	2019	Nazneen Fatema Rajani Bryan McCann Caiming Xiong Richard Socher	2
+	Born Again Neural Networks	2018	Tommaso Furlanello Zachary C. Lipton Michael Tschannen Laurent Itti Anima Anandkumar	2
+ PDF Chat	Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model	2019	Alexander R. Fabbri Irene Li Tianwei She Suyi Li Dragomir Radev	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Identifying and Reducing Gender Bias in Word-Level Language Models	2019	Shikha Bordia Samuel R. Bowman	2
+ PDF Chat	Reasoning about Pragmatics with Neural Listeners and Speakers	2016	Jacob Andreas Dan Klein	2
+	Toward Controlled Generation of Text	2017	Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric P. Xing	2
+	Don't Decay the Learning Rate, Increase the Batch Size	2017	Samuel Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le	1
+	Controlling Linguistic Style Aspects in Neural Language Generation	2017	Jessica Ficler Yoav Goldberg	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Convergent Learning: Do different neural networks learn the same representations?	2015	Yixuan Li Jason Yosinski Jeff Clune Hod Lipson John E. Hopcroft	1
+ PDF Chat	Introduction to Mathematical Probability	1938	J. V. Uspensky	1
+	Train longer, generalize better: closing the generalization gap in large batch training of neural networks	2017	Elad Hoffer Itay Hubara Daniel Soudry	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1