Ali Farhadi

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University of Washington

Associate Professor at University of Washington

Pushing it out of the Way: Interactive Visual Navigation

We have observed significant progress in visual navigation for embodied ...
04/28/2021 ∙ by Kuo-Hao Zeng, et al. ∙ 4 ∙ share

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Learning Neural Network Subspaces

Recent observations have advanced our understanding of the neural networ...
02/20/2021 ∙ by Mitchell Wortsman, et al. ∙ 15 ∙ share

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Layer-Wise Data-Free CNN Compression

We present an efficient method for compressing a trained neural network ...
11/18/2020 ∙ by Maxwell Horton, et al. ∙ 8 ∙ share

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What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions

Learning effective representations of visual data that generalize to a v...
10/16/2020 ∙ by Kiana Ehsani, et al. ∙ 0 ∙ share

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A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks

Autonomous agents must learn to collaborate. It is not scalable to devel...
07/09/2020 ∙ by Unnat Jain, et al. ∙ 2 ∙ share

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In the Wild: From ML Models to Pragmatic ML Systems

Enabling robust intelligence in the wild entails learning systems that o...
07/06/2020 ∙ by Matthew Wallingford, et al. ∙ 13 ∙ share

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Supermasks in Superposition

We present the Supermasks in Superposition (SupSup) model, capable of se...
06/26/2020 ∙ by Mitchell Wortsman, et al. ∙ 0 ∙ share

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Probing Text Models for Common Ground with Visual Representations

Vision, as a central component of human perception, plays a fundamental ...
05/01/2020 ∙ by Gabriel Ilharco, et al. ∙ 0 ∙ share

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Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image

Even from a single frame of a still image, people can reason about the d...
04/22/2020 ∙ by Jae Sung Park, et al. ∙ 14 ∙ share

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

Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undenia...
04/14/2020 ∙ by Matt Deitke, et al. ∙ 2 ∙ share

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Evaluating Machines by their Real-World Language Use

There is a fundamental gap between how humans understand and use languag...
04/07/2020 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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Grounded Situation Recognition

We introduce Grounded Situation Recognition (GSR), a task that requires ...
03/26/2020 ∙ by Sarah Pratt, et al. ∙ 25 ∙ share

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Watching the World Go By: Representation Learning from Unlabeled Videos

Recent single image unsupervised representation learning techniques show...
03/18/2020 ∙ by Daniel Gordon, et al. ∙ 12 ∙ share

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Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Fine-tuning pretrained contextual word embedding models to supervised do...
02/15/2020 ∙ by Jesse Dodge, et al. ∙ 0 ∙ share

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Soft Threshold Weight Reparameterization for Learnable Sparsity

Sparsity in Deep Neural Networks (DNNs) is studied extensively with the ...
02/08/2020 ∙ by Aditya Kusupati, et al. ∙ 3 ∙ share

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Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game

The ubiquity of embodied gameplay, observed in a wide variety of animal ...
12/17/2019 ∙ by Luca Weihs, et al. ∙ 17 ∙ share

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Visual Reaction: Learning to Play Catch with Your Drone

In this paper we address the problem of visual reaction: the task of int...
12/04/2019 ∙ by Kuo-Hao Zeng, et al. ∙ 0 ∙ share

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What's Hidden in a Randomly Weighted Neural Network?

Training a neural network is synonymous with learning the values of the ...
11/29/2019 ∙ by Vivek Ramanujan, et al. ∙ 78 ∙ share

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Conditional Driving from Natural Language Instructions

Widespread adoption of self-driving cars will depend not only on their s...
10/16/2019 ∙ by Junha Roh, et al. ∙ 18 ∙ share

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Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index

Existing open-domain question answering (QA) models are not suitable for...
06/13/2019 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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Butterfly Transform: An Efficient FFT Based Neural Architecture Design

In this paper, we introduce the Butterfly Transform (BFT), a light weigh...
06/05/2019 ∙ by Keivan Alizadeh, et al. ∙ 14 ∙ share

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Discovering Neural Wirings

The success of neural networks has driven a shift in focus from feature ...
06/03/2019 ∙ by Mitchell Wortsman, et al. ∙ 2 ∙ share

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OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Visual Question Answering (VQA) in its ideal form lets us study reasonin...
05/31/2019 ∙ by Kenneth Marino, et al. ∙ 1 ∙ share

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Defending Against Neural Fake News

Recent progress in natural language generation has raised dual-use conce...
05/29/2019 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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HellaSwag: Can a Machine Really Finish Your Sentence?

Recent work by Zellers et al. (2018) introduced a new task of commonsens...
05/19/2019 ∙ by Rowan Zellers, et al. ∙ 0 ∙ share

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Two Body Problem: Collaborative Visual Task Completion

Collaboration is a necessary skill to perform tasks that are beyond one ...
04/11/2019 ∙ by Unnat Jain, et al. ∙ 12 ∙ share

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Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph

Visual relationship reasoning is a crucial yet challenging task for unde...
03/25/2019 ∙ by Yao-Hung Hubert Tsai, et al. ∙ 0 ∙ share

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What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning

Long-term planning poses a major difficulty to many reinforcement learni...
01/06/2019 ∙ by Daniel Gordon, et al. ∙ 12 ∙ share

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ELASTIC: Improving CNNs with Instance Specific Scaling Policies

Scale variation has been a challenge from traditional to modern approach...
12/13/2018 ∙ by Huiyu Wang, et al. ∙ 16 ∙ share

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Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

Learning is an inherently continuous phenomenon. When humans learn a new...
12/03/2018 ∙ by Mitchell Wortsman, et al. ∙ 0 ∙ share

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From Recognition to Cognition: Visual Commonsense Reasoning

Visual understanding goes well beyond object recognition. With one glanc...
11/27/2018 ∙ by Rowan Zellers, et al. ∙ 30 ∙ share

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Visual Semantic Navigation using Scene Priors

How do humans navigate to target objects in novel scenes? Do we use the ...
10/15/2018 ∙ by Wei Yang, et al. ∙ 0 ∙ share

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PhotoShape: Photorealistic Materials for Large-Scale Shape Collections

Existing online 3D shape repositories contain thousands of 3D models but...
09/26/2018 ∙ by Keunhong Park, et al. ∙ 2 ∙ share

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Label Refinery: Improving ImageNet Classification through Label Progression

Among the three main components (data, labels, and models) of any superv...
05/07/2018 ∙ by Hessam Bagherinezhad, et al. ∙ 0 ∙ share

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Actor and Observer: Joint Modeling of First and Third-Person Videos

Several theories in cognitive neuroscience suggest that when people inte...
04/25/2018 ∙ by Gunnar A. Sigurdsson, et al. ∙ 2 ∙ share

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Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos

In Actor and Observer we introduced a dataset linking the first and thir...
04/25/2018 ∙ by Gunnar A. Sigurdsson, et al. ∙ 0 ∙ share

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Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension

The current trend of extractive question answering (QA) heavily relies o...
04/20/2018 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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Imagine This! Scripts to Compositions to Videos

Imagining a scene described in natural language with realistic layout an...
04/10/2018 ∙ by Tanmay Gupta, et al. ∙ 2 ∙ share

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YOLOv3: An Incremental Improvement

We present some updates to YOLO! We made a bunch of little design change...
04/08/2018 ∙ by Joseph Redmon, et al. ∙ 0 ∙ share

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Transferring Common-Sense Knowledge for Object Detection

We propose the idea of transferring common-sense knowledge from source c...
04/03/2018 ∙ by Krishna Kumar Singh, et al. ∙ 2 ∙ share

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Who Let The Dogs Out? Modeling Dog Behavior From Visual Data

We introduce the task of directly modeling a visually intelligent agent....
03/28/2018 ∙ by Kiana Ehsani, et al. ∙ 0 ∙ share

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AI2-THOR: An Interactive 3D Environment for Visual AI

We introduce The House Of inteRactions (THOR), a framework for visual AI...
12/14/2017 ∙ by Eric Kolve, et al. ∙ 0 ∙ share

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IQA: Visual Question Answering in Interactive Environments

We introduce Interactive Question Answering (IQA), the task of answering...
12/09/2017 ∙ by Daniel Gordon, et al. ∙ 0 ∙ share

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Structured Set Matching Networks for One-Shot Part Labeling

Diagrams often depict complex phenomena and serve as a good test bed for...
12/05/2017 ∙ by Jonghyun Choi, et al. ∙ 0 ∙ share

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Neural Speed Reading via Skim-RNN

Inspired by the principles of speed reading, we introduce Skim-RNN, a re...
11/06/2017 ∙ by Minjoon Seo, et al. ∙ 0 ∙ share

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AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video

Developing useful interfaces between brains and machines is a grand chal...
09/13/2017 ∙ by Xin Ru Nancy Wang, et al. ∙ 0 ∙ share

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Visual Semantic Planning using Deep Successor Representations

A crucial capability of real-world intelligent agents is their ability t...
05/23/2017 ∙ by Yuke Zhu, et al. ∙ 0 ∙ share

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Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

Robust object tracking requires knowledge and understanding of the objec...
05/17/2017 ∙ by Daniel Gordon, et al. ∙ 0 ∙ share

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SeGAN: Segmenting and Generating the Invisible

Objects often occlude each other in scenes; Inferring their appearance b...
03/29/2017 ∙ by Kiana Ehsani, et al. ∙ 0 ∙ share

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See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content

Humans have rich understanding of liquid containers and their contents; ...
01/10/2017 ∙ by Roozbeh Mottaghi, et al. ∙ 0 ∙ share

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Ali Farhadi

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