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09/14/2023
ExpertQA: Expert-Curated Questions and Attributed Answers
As language models are adapted by a more sophisticated and diverse set o...
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05/24/2023
Interpretable by Design Visual Question Answering
Model interpretability has long been a hard problem for the AI community...
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02/01/2023
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
Given a sentence "Abby told Brittney that she upset Courtney", one would...
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11/21/2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Concept Bottleneck Models (CBM) are inherently interpretable models that...
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10/24/2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models
Cognitive psychologists have documented that humans use cognitive heuris...
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10/24/2022
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction
Neural language models encode rich knowledge about entities and their re...
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12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
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11/17/2021
Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval
Schemata are structured representations of complex tasks that can aid ar...
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04/12/2021
Visual Goal-Step Inference using wikiHow
Procedural events can often be thought of as a high level goal composed ...
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04/02/2021
Visual Semantic Role Labeling for Video Understanding
We propose a new framework for understanding and representing related sa...
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11/07/2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Many datasets have been shown to contain incidental correlations created...
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04/14/2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undenia...
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03/26/2020
Grounded Situation Recognition
We introduce Grounded Situation Recognition (GSR), a task that requires ...
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09/09/2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
State-of-the-art models often make use of superficial patterns in the da...
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08/09/2019
VisualBERT: A Simple and Performant Baseline for Vision and Language
We propose VisualBERT, a simple and flexible framework for modeling a br...
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04/05/2019
Gender Bias in Contextualized Word Embeddings
In this paper, we quantify, analyze and mitigate gender bias exhibited i...
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11/20/2018
Adversarial Removal of Gender from Deep Image Representations
In this work we analyze visual recognition tasks such as object and acti...
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09/27/2018
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
In this work, we compare three datasets which build on the paradigm defi...
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08/21/2018
QuAC : Question Answering in Context
We present QuAC, a dataset for Question Answering in Context that contai...
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04/18/2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
We introduce a new benchmark, WinoBias, for coreference resolution focus...
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11/17/2017
Neural Motifs: Scene Graph Parsing with Global Context
We investigate the problem of producing structured graph representations...
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07/29/2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Language is increasingly being used to define rich visual recognition pr...
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04/26/2017
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Sequence-to-sequence models have shown strong performance across a broad...
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12/03/2016