Vihari Piratla | DeepAI

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∙ 03/11/2023

Robust Learning from Explanations

Machine learning from explanations (MLX) is an approach to learning that...

0 Juyeon Heo, et al. ∙

∙ 03/05/2023

Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild

Our goal is to improve reliability of Machine Learning (ML) systems depl...

0 Vihari Piratla, et al. ∙

∙ 11/21/2022

Implicit Training of Energy Model for Structure Prediction

Most deep learning research has focused on developing new model and trai...

0 Shiv Shankar, et al. ∙

∙ 11/02/2022

Web-based Elicitation of Human Perception on mixup Data

Synthetic data is proliferating on the web and powering many advances in...

0 Katherine M. Collins, et al. ∙

∙ 10/06/2021

Focus on the Common Good: Group Distributional Robustness Follows

We consider the problem of training a classification model with group an...

2 Vihari Piratla, et al. ∙

∙ 08/15/2021

Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time

In several real world applications, machine learning models are deployed...

0 Anshul Nasery, et al. ∙

∙ 08/14/2021

Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations

Our goal is to evaluate the accuracy of a black-box classification model...

0 Vihari Piratla, et al. ∙

∙ 02/07/2021

An Analysis of Frame-skipping in Reinforcement Learning

In the practice of sequential decision making, agents are often designed...

0 Shivaram Kalyanakrishnan, et al. ∙

∙ 10/04/2020

NLP Service APIs and Models for Efficient Registration of New Clients

State-of-the-art NLP inference uses enormous neural architectures and mo...

0 Sahil Shah, et al. ∙

∙ 07/09/2020

Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint

Data augmentation is a popular pre-processing trick to improve generaliz...

0 Vihari Piratla, et al. ∙

∙ 03/28/2020

Efficient Domain Generalization via Common-Specific Low-Rank Decomposition

Domain generalization refers to the task of training a model which gener...

0 Vihari Piratla, et al. ∙

∙ 10/07/2019

Parallel Iterative Edit Models for Local Sequence Transduction

We present a Parallel Iterative Edit (PIE) model for the problem of loca...

0 Abhijeet Awasthi, et al. ∙

∙ 06/05/2019

Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings

Given a small corpus D_T pertaining to a limited set of focused topics,...

0 Vihari Piratla, et al. ∙

∙ 04/28/2018

Generalizing Across Domains via Cross-Gradient Training

We present CROSSGRAD, a method to use multi-domain training data to lear...

0 Shiv Shankar, et al. ∙

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