Carnegie Mellon University

∙ Pittsburgh , United States ∙ 0 followers

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

Featured Researchers

Wei Zhang
132 publications
Xi Chen
114 publications
Eric P Xing
114 publications
Graham Neubig
109 publications
Ruslan Salakhutdinov
108 publications
Jun Zhu
99 publications
Hao Wang
98 publications
Han Liu
91 publications
Barnabas Poczos
88 publications
Xiaodan Liang
80 publications
Abhinav Gupta
79 publications

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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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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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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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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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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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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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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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 Data Augmentation

Despite its success, deep learning still needs large labeled datasets to...
04/29/2019 ∙ by Qizhe Xie, et al. ∙ 18 ∙ share

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Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

Deep learning model trained by imbalanced data may not work satisfactori...
08/27/2019 ∙ by Ziqian Luo, et al. ∙ 18 ∙ share

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Learning Sparse Nonparametric DAGs

We develop a framework for learning sparse nonparametric directed acycli...
09/29/2019 ∙ by Xun Zheng, et al. ∙ 18 ∙ share

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Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization

There has been an increased interest in multimodal language processing i...
07/01/2019 ∙ by Paul Pu Liang, et al. ∙ 17 ∙ share

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What You See is What You Get: Exploiting Visibility for 3D Object Detection

Recent advances in 3D sensing have created unique challenges for compute...
12/10/2019 ∙ by Peiyun Hu, et al. ∙ 17 ∙ share

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An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

With the increasing growth of social media, people have started relying ...
12/13/2019 ∙ by Rahul Radhakrishnan Iyer, et al. ∙ 17 ∙ share

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Towards Minimal Supervision BERT-based Grammar Error Correction

Current grammatical error correction (GEC) models typically consider the...
01/10/2020 ∙ by Yiyuan Li, et al. ∙ 17 ∙ share

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Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Autonomous cyber-physical agents and systems play an increasingly large ...
09/21/2018 ∙ by Ritesh Noothigattu, et al. ∙ 16 ∙ share

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Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks

Recent works have cast some light on the mystery of why deep nets fit an...
01/24/2019 ∙ by Sanjeev Arora, et al. ∙ 16 ∙ share

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