Mohit Sharma | DeepAI

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∙ 04/13/2023

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation

Recent works have shown that large models pretrained on common visual le...

1 Mohit Sharma, et al. ∙

∙ 02/12/2023

On Testing and Comparing Fair classifiers under Data Bias

In this paper, we consider a theoretical model for injecting data bias, ...

2 Mohit Sharma, et al. ∙

∙ 02/01/2023

Continuous Scatterplot Operators for Bivariate Analysis and Study of Electronic Transitions

Electronic transitions in molecules due to the absorption or emission of...

0 Mohit Sharma, et al. ∙

∙ 08/13/2022

Jacobi Set Driven Search for Flexible Fiber Surface Extraction

Isosurfaces are an important tool for analysis and visualization of univ...

0 Mohit Sharma, et al. ∙

∙ 10/13/2021

NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels

Deep learning has shown remarkable progress in a wide range of problems....

21 Mohit Sharma, et al. ∙

∙ 09/18/2021

Segmentation Driven Peeling for Visual Analysis of Electronic Transitions

Electronic transitions in molecules due to absorption or emission of lig...

0 Mohit Sharma, et al. ∙

∙ 09/17/2021

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation

Lifelong-learning robots need to be able to acquire new skills and plan ...

0 Jacky Liang, et al. ∙

∙ 03/18/2021

Generalizing Object-Centric Task-Axes Controllers using Keypoints

To perform manipulation tasks in the real world, robots need to operate ...

6 Mohit Sharma, et al. ∙

∙ 03/04/2021

Inverse Reinforcement Learning with Explicit Policy Estimates

Various methods for solving the inverse reinforcement learning (IRL) pro...

9 Navyata Sanghvi, et al. ∙

∙ 12/15/2020

Distant-Supervised Slot-Filling for E-Commerce Queries

Slot-filling refers to the task of annotating individual terms in a quer...

1 Saurav Manchanda, et al. ∙

∙ 12/03/2020

Relational Learning for Skill Preconditions

To determine if a skill can be executed in any given environment, a robo...

2 Mohit Sharma, et al. ∙

∙ 11/09/2020

Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation

Manipulation tasks can often be decomposed into multiple subtasks perfor...

3 Mohit Sharma, et al. ∙

∙ 11/04/2020

A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy

We designed a modular robotic control stack that provides a customizable...

0 Kevin Zhang, et al. ∙

∙ 09/27/2019

Leveraging Multimodal Haptic Sensory Data for Robust Cutting

Cutting is a common form of manipulation when working with divisible obj...

0 Kevin Zhang, et al. ∙

∙ 08/22/2019

Intent term selection and refinement in e-commerce queries

In e-commerce, a user tends to search for the desired product by issuing...

0 Saurav Manchanda, et al. ∙

∙ 07/24/2019

Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning

We present a hierarchical reinforcement learning (HRL) or options framew...

17 Nirbhay Modhe, et al. ∙

∙ 07/09/2019

An Attention Mechanism for Musical Instrument Recognition

While the automatic recognition of musical instruments has seen signific...

0 Siddharth Gururani, et al. ∙

∙ 04/22/2019

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation

Recommending new items to existing users has remained a challenging prob...

0 Mohit Sharma, et al. ∙

∙ 04/22/2019

Adaptive Matrix Completion for the Users and the Items in Tail

Recommender systems are widely used to recommend the most appealing item...

0 Mohit Sharma, et al. ∙

∙ 04/22/2019

Learning from Sets of Items in Recommender Systems

Most of the existing recommender systems use the ratings provided by use...

0 Mohit Sharma, et al. ∙

∙ 03/30/2019

Learning Semantic Embedding Spaces for Slicing Vegetables

In this work, we present an interaction-based approach to learn semantic...

0 Mohit Sharma, et al. ∙

∙ 03/07/2019

The life of a New York City noise sensor network

Noise pollution is one of the topmost quality of life issues for urban r...

0 Charlie Mydlarz, et al. ∙

∙ 09/29/2018

Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information

The use of imitation learning to learn a single policy for a complex tas...

0 Arjun Sharma, et al. ∙

∙ 09/22/2017

Inverse Reinforcement Learning with Conditional Choice Probabilities

We make an important connection to existing results in econometrics to d...

0 Mohit Sharma, et al. ∙

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