Georgia Institute of Technology

∙ Atlanta , United States ∙ 0 followers

The Georgia Institute of Technology, commonly referred to as Georgia Tech, is a public research university and institute of technology in Atlanta, Georgia.

Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition

This paper proposes to use Fast Fourier Transformation-based U-Net (a re...
10/08/2020 ∙ by Varsha Nair, et al. ∙ 134 ∙ share

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REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

In recent years, significant attention has been devoted towards integrat...
01/29/2020 ∙ by Rahul Duggal, et al. ∙ 116 ∙ share

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Predicting A Creator's Preferences In, and From, Interactive Generative Art

As a lay user creates an art piece using an interactive generative art t...
03/03/2020 ∙ by Devi Parikh, et al. ∙ 92 ∙ share

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Feel The Music: Automatically Generating A Dance For An Input Song

We present a general computational approach that enables a machine to ge...
06/21/2020 ∙ by Purva Tendulkar, et al. ∙ 77 ∙ share

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Deep Reinforcement Learning with Smooth Policy

Deep neural networks have been widely adopted in modern reinforcement le...
03/21/2020 ∙ by Qianli Shen, et al. ∙ 54 ∙ share

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Audio-Visual Scene-Aware Dialog

We introduce the task of scene-aware dialog. Given a follow-up question ...
01/25/2019 ∙ by Huda Alamri, et al. ∙ 48 ∙ share

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nocaps: novel object captioning at scale

Image captioning models have achieved impressive results on datasets con...
12/20/2018 ∙ by Harsh Agrawal, et al. ∙ 46 ∙ share

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Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation

Generative Adversarial Networks (GANs) have achieved great success in un...
02/10/2020 ∙ by Minshuo Chen, et al. ∙ 45 ∙ share

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SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions

Existing VQA datasets contain questions with varying levels of complexit...
01/20/2020 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 44 ∙ share

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A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play

We consider shared workspace scenarios with humans and robots acting to ...
06/10/2020 ∙ by Shray Bansal, et al. ∙ 44 ∙ share

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The role of visual saliency in the automation of seismic interpretation

In this paper, we propose a workflow based on SalSi for the detection an...
12/31/2018 ∙ by Muhammad Amir Shafiq, et al. ∙ 40 ∙ share

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Continuous Online Learning and New Insights to Online Imitation Learning

Online learning is a powerful tool for analyzing iterative algorithms. H...
12/03/2019 ∙ by Jonathan Lee, et al. ∙ 33 ∙ share

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Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning

Deep neural networks (DNNs) are increasingly powering high-stakes applic...
01/21/2020 ∙ by Nilaksh Das, et al. ∙ 33 ∙ share

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CNN 101: Interactive Visual Learning for Convolutional Neural Networks

The success of deep learning solving previously-thought hard problems ha...
01/07/2020 ∙ by Zijie J. Wang, et al. ∙ 27 ∙ share

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Learning to Walk in the Real World with Minimal Human Effort

Reliable and stable locomotion has been one of the most fundamental chal...
02/20/2020 ∙ by Sehoon Ha, et al. ∙ 27 ∙ share

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Expanding Explainability: Towards Social Transparency in AI systems

As AI-powered systems increasingly mediate consequential decision-making...
01/12/2021 ∙ by Upol Ehsan, et al. ∙ 27 ∙ share

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Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Many vision and language models suffer from poor visual grounding - ofte...
02/11/2019 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 26 ∙ share

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Perceptual Attention-based Predictive Control

In this paper, we present a novel information processing architecture fo...
04/26/2019 ∙ by Keuntaek Lee, et al. ∙ 26 ∙ share

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Automatically Neutralizing Subjective Bias in Text

Texts like news, encyclopedias, and some social media strive for objecti...
11/21/2019 ∙ by Reid Pryzant, et al. ∙ 26 ∙ share

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Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data

Self-supervised learning has enabled significant improvements on natural...
03/29/2021 ∙ by Alex Fedorov, et al. ∙ 25 ∙ share

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EvalAI: Towards Better Evaluation Systems for AI Agents

We introduce EvalAI, an open source platform for evaluating and comparin...
02/10/2019 ∙ by Deshraj Yadav, et al. ∙ 24 ∙ share

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GOGGLES: Automatic Training Data Generation with Affinity Coding

Generating large labeled training data is becoming the biggest bottlenec...
03/11/2019 ∙ by Nilaksh Das, et al. ∙ 24 ∙ share

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Probabilistic Kernel Support Vector Machines

We propose a probabilistic enhancement of standard kernel Support Vecto...
04/14/2019 ∙ by Yongxin Chen, et al. ∙ 24 ∙ share

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Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency

Analysis of state-of-the-art VO/VSLAM system exposes a gap in balancing ...
01/03/2020 ∙ by Yipu Zhao, et al. ∙ 24 ∙ share

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Trick or TReAT: Thematic Reinforcement for Artistic Typography

An approach to make text visually appealing and memorable is semantic re...
03/19/2019 ∙ by Purva Tendulkar, et al. ∙ 23 ∙ share

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TarMAC: Targeted Multi-Agent Communication

We explore a collaborative multi-agent reinforcement learning setting wh...
10/26/2018 ∙ by Abhishek Das, et al. ∙ 22 ∙ share

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Synthesizing New Retinal Symptom Images by Multiple Generative Models

Age-Related Macular Degeneration (AMD) is an asymptomatic retinal diseas...
02/11/2019 ∙ by Yi-Chieh Liu, et al. ∙ 22 ∙ share

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Meta Learning with Relational Information for Short Sequences

This paper proposes a new meta-learning method -- named HARMLESS (HAwkes...
09/04/2019 ∙ by Yujia Xie, et al. ∙ 22 ∙ share

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Implicit Saliency in Deep Neural Networks

In this paper, we show that existing recognition and localization deep a...
08/04/2020 ∙ by Yutong Sun, et al. ∙ 22 ∙ share

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Learning Robust Representations with Graph Denoising Policy Network

Graph representation learning, aiming to learn low-dimensional represent...
10/04/2019 ∙ by Lu Wang, et al. ∙ 21 ∙ share

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Pose estimation and bin picking for deformable products

Robotic systems in manufacturing applications commonly assume known obje...
11/12/2019 ∙ by Benjamin Joffe, et al. ∙ 21 ∙ share

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Extracting Causal Visual Features for Limited label Classification

Neural networks trained to classify images do so by identifying features...
03/23/2021 ∙ by Mohit Prabhushankar, et al. ∙ 21 ∙ share

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Lemotif: Abstract Visual Depictions of your Emotional States in Life

We present Lemotif. Lemotif generates a motif for your emotional life. Y...
03/18/2019 ∙ by Devi Parikh, et al. ∙ 20 ∙ share

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Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Deep neural networks have attained remarkable performance when applied t...
02/26/2020 ∙ by Yen-Chang Hsu, et al. ∙ 20 ∙ share

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Evolving Neural Networks through a Reverse Encoding Tree

NeuroEvolution is one of the most competitive evolutionary learning fram...
02/03/2020 ∙ by Haoling Zhang, et al. ∙ 19 ∙ share

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CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Visual Dialog is a multimodal task of answering a sequence of questions ...
03/07/2019 ∙ by Satwik Kottur, et al. ∙ 18 ∙ share

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Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning

We present a hierarchical reinforcement learning (HRL) or options framew...
07/24/2019 ∙ by Nirbhay Modhe, et al. ∙ 17 ∙ share

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Detecting Robotic Affordances on Novel Objects with Regional Attention and Attributes

This paper presents a framework for predicting affordances of object par...
09/12/2019 ∙ by Fu-Jen Chu, et al. ∙ 17 ∙ share

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Backpropagated Gradient Representations for Anomaly Detection

Learning representations that clearly distinguish between normal and abn...
07/18/2020 ∙ by Gukyeong Kwon, et al. ∙ 17 ∙ share

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Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Individual neurons in convolutional neural networks supervised for image...
08/08/2018 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 16 ∙ share

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Fast 3D Pose Refinement with RGB Images

Pose estimation is a vital step in many robotics and perception tasks su...
11/17/2019 ∙ by Abhinav Jain, et al. ∙ 16 ∙ share

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Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Prior work in visual dialog has focused on training deep neural models o...
12/05/2019 ∙ by Vishvak Murahari, et al. ∙ 16 ∙ share

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Learning Structured Communication for Multi-agent Reinforcement Learning

This work explores the large-scale multi-agent communication mechanism u...
02/11/2020 ∙ by Junjie Sheng, et al. ∙ 16 ∙ share

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Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks

Wasserstein Barycenter is a principled approach to represent the weighte...
07/08/2020 ∙ by Jiaojiao Fan, et al. ∙ 16 ∙ share

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Unbiased Teacher for Semi-Supervised Object Detection

Semi-supervised learning, i.e., training networks with both labeled and ...
02/18/2021 ∙ by Yen-Cheng Liu, et al. ∙ 15 ∙ share

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Cycle-Consistency for Robust Visual Question Answering

Despite significant progress in Visual Question Answering over the years...
02/15/2019 ∙ by Meet Shah, et al. ∙ 14 ∙ share

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Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics

Traffic signs are critical for maintaining the safety and efficiency of ...
08/29/2019 ∙ by Dogancan Temel, et al. ∙ 14 ∙ share

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ContactPose: A Dataset of Grasps with Object Contact and Hand Pose

Grasping is natural for humans. However, it involves complex hand config...
07/19/2020 ∙ by Samarth Brahmbhatt, et al. ∙ 14 ∙ share

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Do Explanations make VQA Models more Predictable to a Human?

A rich line of research attempts to make deep neural networks more trans...
10/29/2018 ∙ by Arjun Chandrasekaran, et al. ∙ 13 ∙ share

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PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems

Dynamical systems involving partial differential equations (PDEs) and or...
04/14/2020 ∙ by Priyabrata Saha, et al. ∙ 13 ∙ share

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Georgia Institute of Technology

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