Mark Yatskar | DeepAI

DeepAI AI Chat

Featured Co-authors

Li Zhang
211 publications
Percy Liang
150 publications
Luke Zettlemoyer
145 publications
Kai-Wei Chang
143 publications
Cho-Jui Hsieh
141 publications
Ryan Cotterell
136 publications
Ali Farhadi
98 publications
Yejin Choi
96 publications
Hannaneh Hajishirzi
93 publications
Wen-tau Yih
56 publications
Mohit Iyyer
52 publications

∙ 02/01/2023

AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference

Given a sentence "Abby told Brittney that she upset Courtney", one would...

0 Yuewei Yuan, et al. ∙

∙ 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...

0 Yue Yang, et al. ∙

∙ 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...

0 Chaitanya Malaviya, et al. ∙

∙ 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...

0 Yue Yang, et al. ∙

∙ 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...

8 Christopher Clark, et al. ∙

∙ 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...

0 Yue Yang, et al. ∙

∙ 04/12/2021

Visual Goal-Step Inference using wikiHow

Procedural events can often be thought of as a high level goal composed ...

15 Yue Yang, et al. ∙

∙ 04/02/2021

Visual Semantic Role Labeling for Video Understanding

We propose a new framework for understanding and representing related sa...

9 Arka Sadhu, et al. ∙

∙ 11/07/2020

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles

Many datasets have been shown to contain incidental correlations created...

0 Christopher Clark, et al. ∙

∙ 04/14/2020

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undenia...

2 Matt Deitke, et al. ∙

∙ 03/26/2020

Grounded Situation Recognition

We introduce Grounded Situation Recognition (GSR), a task that requires ...

25 Sarah Pratt, et al. ∙

∙ 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...

10 Christopher Clark, et al. ∙

∙ 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...

11 Liunian Harold Li, et al. ∙

∙ 04/05/2019

Gender Bias in Contextualized Word Embeddings

In this paper, we quantify, analyze and mitigate gender bias exhibited i...

0 Jieyu Zhao, et al. ∙

∙ 11/20/2018

Adversarial Removal of Gender from Deep Image Representations

In this work we analyze visual recognition tasks such as object and acti...

2 Tianlu Wang, et al. ∙

∙ 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...

0 Mark Yatskar, et al. ∙

∙ 08/21/2018

QuAC : Question Answering in Context

We present QuAC, a dataset for Question Answering in Context that contai...

2 Eunsol Choi, et al. ∙

∙ 04/18/2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

We introduce a new benchmark, WinoBias, for coreference resolution focus...

0 Jieyu Zhao, et al. ∙

∙ 11/17/2017

Neural Motifs: Scene Graph Parsing with Global Context

We investigate the problem of producing structured graph representations...

0 Rowan Zellers, et al. ∙

∙ 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...

0 Jieyu Zhao, et al. ∙

∙ 04/26/2017

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Sequence-to-sequence models have shown strong performance across a broad...

0 Ioannis Konstas, et al. ∙

∙ 12/03/2016

Commonly Uncommon: Semantic Sparsity in Situation Recognition

Semantic sparsity is a common challenge in structured visual classificat...

0 Mark Yatskar, et al. ∙