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03/11/2023
Robust Learning from Explanations
Machine learning from explanations (MLX) is an approach to learning that...
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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...
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11/21/2022
Implicit Training of Energy Model for Structure Prediction
Most deep learning research has focused on developing new model and trai...
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11/02/2022
Web-based Elicitation of Human Perception on mixup Data
Synthetic data is proliferating on the web and powering many advances in...
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10/06/2021
Focus on the Common Good: Group Distributional Robustness Follows
We consider the problem of training a classification model with group an...
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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...
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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...
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02/07/2021
An Analysis of Frame-skipping in Reinforcement Learning
In the practice of sequential decision making, agents are often designed...
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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...
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07/09/2020
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Data augmentation is a popular pre-processing trick to improve generaliz...
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03/28/2020
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Domain generalization refers to the task of training a model which gener...
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10/07/2019
Parallel Iterative Edit Models for Local Sequence Transduction
We present a Parallel Iterative Edit (PIE) model for the problem of loca...
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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,...
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04/28/2018