Sai Rajeswar

According to our database1, Sai Rajeswar authored at least 24 papers between 2014 and 2023.

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Bibliography

2023
Capture the Flag: Uncovering Data Insights with Large Language Models.
CoRR, 2023

Equivariant Adaptation of Large Pretrained Models.
CoRR, 2023

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory.
CoRR, 2023

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels.
Proceedings of the International Conference on Machine Learning, 2023

Hyperbolic Deep Reinforcement Learning for Continuous Control.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Choreographer: Learning and Adapting Skills in Imagination.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels.
CoRR, 2022

Multi-label Iterated Learning for Image Classification with Label Ambiguity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Touch-based Curiosity for Sparse-Reward Tasks.
CoRR, 2021

Haptics-based Curiosity for Sparse-reward Tasks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation.
Int. J. Comput. Vis., 2020

2019
Adversarial Computation of Optimal Transport Maps.
CoRR, 2019

2018
Hierarchical Adversarially Learned Inference.
CoRR, 2018

A Deep Reinforcement Learning Chatbot (Short Version).
CoRR, 2018

MINE: Mutual Information Neural Estimation.
CoRR, 2018

Towards Text Generation with Adversarially Learned Neural Outlines.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mutual Information Neural Estimation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Adversarial Generation of Natural Language.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2015
OCR for bilingual documents using language modeling.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

A hypothesize-and-verify framework for text recognition using deep recurrent neural networks.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Text recognition using deep BLSTM networks.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014
Scene Text Analysis using Deep Belief Networks.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014


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