8 citations · 25 across the 8 of their papers we have counts for
11 papers
Confidence-Calibrated Ensemble Dense Phrase Retrieval
William Yang, Noah Bergam, Arnav Jain +1
In this paper, we consider the extent to which the transformer-based Dense Passage Retrieval (DPR) algorithm, developed by (Karpukhin et. al. 2020), can be optimized without furthe…
Maximum State Entropy Exploration using Predecessor and Successor Representations
Arnav Kumar Jain, Lucas Lehnert, Irina Rish +1
Animals have a developed ability to explore that aids them in important tasks such as locating food, exploring for shelter, and finding misplaced items. These exploration skills ne…
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Wenjie Xi, Arnav Jain, Li Zhang +1
Time series classification is an important data mining task that has received a lot of interest in the past two decades. Due to the label scarcity in practice, semi-supervised time…
Learning Robust Dynamics through Variational Sparse Gating
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi +3
Learning world models from their sensory inputs enables agents to plan for actions by imagining their future outcomes. World models have previously been shown to improve sample-eff…
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks
Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain +2
Locust infestation of some regions in the world, including Africa, Asia and Middle East has become a concerning issue that can affect the health and the lives of millions of people…
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors
Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas
Contemporary deep learning based inpainting algorithms are mainly based on a hybrid dual stage training policy of supervised reconstruction loss followed by an unsupervised adversa…
Faster Unsupervised Semantic Inpainting: A GAN Based Approach
Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla +1
In this paper, we propose to improve the inference speed and visual quality of contemporary baseline of Generative Adversarial Networks (GAN) based unsupervised semantic inpainting…
Improved Techniques for GAN based Facial Inpainting
Avisek Lahiri, Arnav Jain, Divyasri Nadendla +1
In this paper we present several architectural and optimization recipes for generative adversarial network(GAN) based facial semantic inpainting. Current benchmark models are susce…
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network
Avisek Lahiri, Arnav Jain, Prabir Kumar Biswas +1
Contemporary benchmark methods for image inpainting are based on deep generative models and specifically leverage adversarial loss for yielding realistic reconstructions. However,…
Recurrent Memory Addressing for describing videos
Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal +1
In this paper, we introduce Key-Value Memory Networks to a multimodal setting and a novel key-addressing mechanism to deal with sequence-to-sequence models. The proposed model natu…
Bayesian Optimisation with Prior Reuse for Motion Planning in Robot Soccer
Abhinav Agarwalla, Arnav Kumar Jain, KV Manohar +2
We integrate learning and motion planning for soccer playing differential drive robots using Bayesian optimisation. Trajectories generated using end-slope cubic Bezier splines are…