Carnegie Mellon University

∙ Pittsburgh , United States ∙ 0 followers

943583 Carnegie Mellon University is a private nonprofit research university based in Pittsburgh, Pennsylvania.

Featured Researchers

Sergey Levine
210 publications
Wei Zhang
153 publications
Xi Chen
132 publications
Graham Neubig
129 publications
Wei Chen
126 publications
Ruslan Salakhutdinov
124 publications
Hao Wang
121 publications
Eric P Xing
118 publications
Jun Zhu
113 publications
Xin Li
105 publications
Han Liu
97 publications

Locally Masked Convolution for Autoregressive Models

High-dimensional generative models have many applications including imag...
06/22/2020 ∙ by Ajay Jain, et al. ∙ 60 ∙ share

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The Hanabi Challenge: A New Frontier for AI Research

From the early days of computing, games have been important testbeds for...
02/01/2019 ∙ by Nolan Bard, et al. ∙ 54 ∙ share

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Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning

Diabetic Retinopathy (DR) is a leading cause of blindness in working age...
07/27/2020 ∙ by Qiqi Xiao, et al. ∙ 48 ∙ share

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Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments

We consider three important challenges in conference peer review: (i) re...
06/29/2020 ∙ by Steven Jecmen, et al. ∙ 41 ∙ share

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Combining Deep Learning and Verification for Precise Object Instance Detection

Deep learning object detectors often return false positives with very hi...
12/27/2019 ∙ by Siddharth Ancha, et al. ∙ 38 ∙ share

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Embodied Multimodal Multitask Learning

Recent efforts on training visual navigation agents conditioned on langu...
02/04/2019 ∙ by Devendra Singh Chaplot, et al. ∙ 36 ∙ share

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Self-training with Noisy Student improves ImageNet classification

We present a simple self-training method that achieves 87.4 on ImageNet,...
11/11/2019 ∙ by Qizhe Xie, et al. ∙ 36 ∙ share

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A Theoretical Analysis of Contrastive Unsupervised Representation Learning

Recent empirical works have successfully used unlabeled data to learn fe...
02/25/2019 ∙ by Sanjeev Arora, et al. ∙ 34 ∙ share

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Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals

In a multi-agent setting, the optimal policy of a single agent is largel...
09/27/2019 ∙ by Anahita Mohseni-Kabir, et al. ∙ 34 ∙ share

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Variational Auto-Decoder: Neural Generative Modeling from Partial Data

Learning a generative model from partial data (data with missingness) is...
03/03/2019 ∙ by Amir Zadeh, et al. ∙ 32 ∙ share

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Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

Emotion is intrinsic to humans and consequently emotion understanding is...
05/08/2019 ∙ by Soujanya Poria, et al. ∙ 32 ∙ share

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Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel

Transformer is a powerful architecture that achieves superior performanc...
08/30/2019 ∙ by Yao-Hung Hubert Tsai, et al. ∙ 32 ∙ share

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Learning Spatial Awareness to Improve Crowd Counting

The aim of crowd counting is to estimate the number of people in images ...
09/16/2019 ∙ by Zhi-Qi Cheng, et al. ∙ 32 ∙ share

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Driving in Dense Traffic with Model-Free Reinforcement Learning

Traditional planning and control methods could fail to find a feasible t...
09/15/2019 ∙ by Dhruv Mauria Saxena, et al. ∙ 31 ∙ share

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Factorized Multimodal Transformer for Multimodal Sequential Learning

The complex world around us is inherently multimodal and sequential (con...
11/22/2019 ∙ by Amir Zadeh, et al. ∙ 31 ∙ share

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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

This paper studies the problem of predicting the distribution over multi...
12/13/2019 ∙ by Junwei Liang, et al. ∙ 31 ∙ share

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Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection

Motivated by the transformative impact of deep neural networks (DNNs) on...
12/19/2019 ∙ by Mahmood Sharif, et al. ∙ 30 ∙ share

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Person-in-WiFi: Fine-grained Person Perception using WiFi

Fine-grained person perception such as body segmentation and pose estima...
03/30/2019 ∙ by Fei Wang, et al. ∙ 28 ∙ share

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A Deep Factorization of Style and Structure in Fonts

We propose a deep factorization model for typographic analysis that dise...
10/02/2019 ∙ by Akshay Srivatsan, et al. ∙ 28 ∙ share

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Behavior Regularized Offline Reinforcement Learning

In reinforcement learning (RL) research, it is common to assume access t...
11/26/2019 ∙ by Yifan Wu, et al. ∙ 28 ∙ share

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Show Your Work: Improved Reporting of Experimental Results

Research in natural language processing proceeds, in part, by demonstrat...
09/06/2019 ∙ by Jesse Dodge, et al. ∙ 26 ∙ share

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Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Despite alarm over the reliance of machine learning systems on so-called...
09/26/2019 ∙ by Divyansh Kaushik, et al. ∙ 25 ∙ share

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The Non-IID Data Quagmire of Decentralized Machine Learning

Many large-scale machine learning (ML) applications need to train ML mod...
10/01/2019 ∙ by Kevin Hsieh, et al. ∙ 25 ∙ share

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Explosive Proofs of Mathematical Truths

Mathematical proofs are both paradigms of certainty and some of the most...
03/31/2020 ∙ by Scott Viteri, et al. ∙ 25 ∙ share

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Photosequencing of Motion Blur using Short and Long Exposures

Photosequencing aims to transform a motion blurred image to a sequence o...
12/11/2019 ∙ by Vijay Rengarajan, et al. ∙ 24 ∙ share

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Single-Network Whole-Body Pose Estimation

We present the first single-network approach for 2D whole-body pose esti...
09/30/2019 ∙ by Gines Hidalgo, et al. ∙ 23 ∙ share

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Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning

Monitoring physiological responses to hemodynamic stress can help in det...
11/12/2019 ∙ by Chufan Gao, et al. ∙ 23 ∙ share

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Geometry-Aware Gradient Algorithms for Neural Architecture Search

Many recent state-of-the-art methods for neural architecture search (NAS...
04/16/2020 ∙ by Liam Li, 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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Online Model Distillation for Efficient Video Inference

High-quality computer vision models typically address the problem of und...
12/06/2018 ∙ by Ravi Teja Mullapudi, et al. ∙ 22 ∙ share

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UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Humor is a unique and creative communicative behavior displayed during s...
04/14/2019 ∙ by Md. Kamrul Hasan, et al. ∙ 22 ∙ share

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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

When trained effectively, the Variational Autoencoder (VAE) is both a po...
09/02/2019 ∙ by Bohan Li, et al. ∙ 22 ∙ share

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Adversary A3C for Robust Reinforcement Learning

Asynchronous Advantage Actor Critic (A3C) is an effective Reinforcement ...
12/01/2019 ∙ by Zhaoyuan Gu, et al. ∙ 21 ∙ share

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A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services

Rough sleeping is a chronic problem faced by some of the most disadvanta...
07/30/2020 ∙ by Harrison Wilde, et al. ∙ 21 ∙ share

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Regularizing Black-box Models for Improved Interpretability

Most work on interpretability in machine learning has focused on designi...
02/18/2019 ∙ by Gregory Plumb, et al. ∙ 20 ∙ share

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MAME : Model-Agnostic Meta-Exploration

Meta-Reinforcement learning approaches aim to develop learning procedure...
11/11/2019 ∙ by Swaminathan Gurumurthy, et al. ∙ 20 ∙ share

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Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion

In this paper, we consider the problem of detecting object under occlusi...
11/24/2019 ∙ by Yihui He, et al. ∙ 20 ∙ share

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Estimating 3D Camera Pose from 2D Pedestrian Trajectories

We consider the task of re-calibrating the 3D pose of a static surveilla...
12/12/2019 ∙ by Yan Xu, et al. ∙ 20 ∙ share

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Learning from Positive and Unlabeled Data by Identifying the Annotation Process

In binary classification, Learning from Positive and Unlabeled data (LeP...
03/02/2020 ∙ by Naji Shajarisales, et al. ∙ 20 ∙ share

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Minimizing FLOPs to Learn Efficient Sparse Representations

Deep representation learning has become one of the most widely adopted a...
04/12/2020 ∙ by Biswajit Paria, et al. ∙ 20 ∙ share

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MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Given multiple input signals, how can we infer node importance in a know...
06/22/2020 ∙ by Namyong Park, et al. ∙ 20 ∙ share

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Universal Inference Using the Split Likelihood Ratio Test

We propose a general method for constructing hypothesis tests and confid...
12/24/2019 ∙ by Larry Wasserman, et al. ∙ 19 ∙ share

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TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...
03/31/2020 ∙ by Zhuoqian Yang, et al. ∙ 19 ∙ share

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Towards Better Interpretability in Deep Q-Networks

Deep reinforcement learning techniques have demonstrated superior perfor...
09/15/2018 ∙ by Raghuram Mandyam Annasamy, et al. ∙ 18 ∙ share

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The Laplacian in RL: Learning Representations with Efficient Approximations

The smallest eigenvectors of the graph Laplacian are well-known to provi...
10/10/2018 ∙ by Yifan Wu, et al. ∙ 18 ∙ share

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Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels

Training deep networks for semantic segmentation requires annotation of ...
11/08/2018 ∙ by Kashyap Chitta, et al. ∙ 18 ∙ share

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Robustness of Conditional GANs to Noisy Labels

We study the problem of learning conditional generators from noisy label...
11/08/2018 ∙ by Kiran Koshy Thekumparampil, et al. ∙ 18 ∙ share

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Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks

A safe and robust on-road navigation system is a crucial component of ac...
12/19/2018 ∙ by Yilun Chen, et al. ∙ 18 ∙ share

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How Sensitive are Sensitivity-Based Explanations?

We propose a simple objective evaluation measure for explanations of a c...
01/27/2019 ∙ by Chih-Kuan Yeh, et al. ∙ 18 ∙ share

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ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization

Optimizing an expensive-to-query function is a common task in science an...
01/31/2019 ∙ by Willie Neiswanger, et al. ∙ 18 ∙ share

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