Search Results for author: Neel Kant

Found 6 papers, 4 papers with code

PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning

no code implementations14 May 2022 Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Siu, Stuart Oberman, Saad Godil, Bryan Catanzaro

Deep Convolutional RL agents trained on this environment produce prefix adder circuits that Pareto-dominate existing baselines with up to 16. 0% and 30. 2% lower area for the same delay in the 32b and 64b settings respectively.

reinforcement-learning

Synthetic Datasets for Neural Program Synthesis

no code implementations ICLR 2019 Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song

The goal of program synthesis is to automatically generate programs in a particular language from corresponding specifications, e. g. input-output behavior.

Program Synthesis

Adversarial Policies: Attacking Deep Reinforcement Learning

1 code implementation ICLR 2020 Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell

Deep reinforcement learning (RL) policies are known to be vulnerable to adversarial perturbations to their observations, similar to adversarial examples for classifiers.

reinforcement-learning

Practical Text Classification With Large Pre-Trained Language Models

1 code implementation4 Dec 2018 Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro

Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data.

Classification Emotion Classification +4

Recent Advances in Neural Program Synthesis

1 code implementation7 Feb 2018 Neel Kant

In recent years, deep learning has made tremendous progress in a number of fields that were previously out of reach for artificial intelligence.

Object Recognition Program induction +2

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