Rowan Zellers
23 papers · 2017–2023 · 10 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (54) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Prolific Year · Productive
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Century Club · Bronze
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Trend Setter
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Research topics
Artificial Intelligence
(14)
Machine Learning
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Core AI
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Deep Learning
(12)
Learning Types · Machine Learning
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Natural Language Processing
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Learning Types · Deep Learning
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Computer Vision
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Applications
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Core Methods
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Generation
(3)
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Models
(3)
Optimization & Theory
(3)
Keywords
multimodal learning
(7)
text generation
(4)
zero-shot learning
(3)
adversarial learning
(3)
neural network
(3)
commonsense reasoning
(3)
language model
(3)
question answering
(3)
visual commonsense reasoning
(3)
pre-trained language model
(3)
natural language inference
(2)
self-supervised learning
(2)
vision-language model
(2)
adversarial filtering
(2)
visual reasoning
(2)
image generation
(2)
video understanding
(2)
benchmark evaluation
(2)
beam search
(2)
commonsense inference
(2)
Papers
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest
ACL 2023
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
CVPR 2023
MAUVE Scores for Generative Models: Theory and Practice
JMLR 2023
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
ICLR 2023
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
NAACL 2022
MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound
CVPR 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
NAACL 2022
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning
ECCV 2022
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation
ACL 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
NeurIPS 2021
MERLOT: Multimodal Neural Script Knowledge Models
NeurIPS 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
NAACL 2021
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World
ACL 2021
Probing Contextual Language Models for Common Ground with Visual Representations
NAACL 2021
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
NAACL 2021
Adversarial Filters of Dataset Biases
ICML 2020
PIQA: Reasoning about Physical Commonsense in Natural Language
AAAI 2020
Defending Against Neural Fake News
NeurIPS 2019
From Recognition to Cognition: Visual Commonsense Reasoning
CVPR 2019
HellaSwag: Can a Machine Really Finish Your Sentence?
ACL 2019
Neural Motifs: Scene Graph Parsing With Global Context
CVPR 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
EMNLP 2018
Zero-Shot Activity Recognition with Verb Attribute Induction
EMNLP 2017