MIT

∙ Cambridge , United States ∙ 0 followers

The Massachusetts Institute of Technology is a private research university in Cambridge, Massachusetts.

Featured Researchers

Yu Zhang
145 publications
Ruslan Salakhutdinov
111 publications
Hao Wang
103 publications
Anima Anandkumar
83 publications
Yue Wang
82 publications
Jie Chen
80 publications
James Glass
75 publications
Joshua B. Tenenbaum
70 publications
Zheng Zhang
69 publications
Pin-Yu Chen
67 publications
Antonio Torralba
65 publications

Understanding Human Judgments of Causality

Discriminating between causality and correlation is a major problem in m...
12/19/2019 ∙ by Masahiro Kazama, et al. ∙ 100 ∙ share

read it
The Synthesizability of Molecules Proposed by Generative Models

The discovery of functional molecules is an expensive and time-consuming...
02/17/2020 ∙ by Wenhao Gao, et al. ∙ 83 ∙ share

read it
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization

While deep learning is successful in a number of applications, it is not...
08/25/2019 ∙ by Tomaso Poggio, et al. ∙ 82 ∙ share

read it
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications

Visual events are usually accompanied by sounds in our daily lives. Howe...
11/20/2019 ∙ by Arda Senocak, et al. ∙ 65 ∙ share

read it
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning

We consider the problem of learning from demonstrated trajectories with ...
11/16/2019 ∙ by Tien Mai, et al. ∙ 44 ∙ share

read it
A Probe into Understanding GAN and VAE models

Both generative adversarial network models and variational autoencoders ...
12/13/2018 ∙ by Jingzhao Zhang, et al. ∙ 38 ∙ share

read it
Data augmentation using learned transforms for one-shot medical image segmentation

Biomedical image segmentation is an important task in many medical appli...
02/25/2019 ∙ by Amy Zhao, et al. ∙ 33 ∙ share

read it
A Theory of Uncertainty Variables for State Estimation and Inference

Probability theory forms an overarching framework for modeling uncertain...
09/24/2019 ∙ by Rajat Talak, et al. ∙ 32 ∙ share

read it
Survey of Attacks and Defenses on Edge-Deployed Neural Networks

Deep Neural Network (DNN) workloads are quickly moving from datacenters ...
11/27/2019 ∙ by Mihailo Isakov, et al. ∙ 30 ∙ share

read it
Avoidance Learning Using Observational Reinforcement Learning

Imitation learning seeks to learn an expert policy from sampled demonstr...
09/24/2019 ∙ by David Venuto, et al. ∙ 29 ∙ share

read it
DiffTaichi: Differentiable Programming for Physical Simulation

We study the problem of learning and optimizing through physical simulat...
10/01/2019 ∙ by Yuanming Hu, et al. ∙ 29 ∙ share

read it
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

We provide an open-source C++ library for real-time metric-semantic visu...
10/06/2019 ∙ by Antoni Rosinol, et al. ∙ 28 ∙ share

read it
Continual Learning with Self-Organizing Maps

Despite remarkable successes achieved by modern neural networks in a wid...
04/19/2019 ∙ by Pouya Bashivan, et al. ∙ 26 ∙ share

read it
Inverse Reinforcement Learning with Missing Data

We consider the problem of recovering an expert's reward function with i...
11/16/2019 ∙ by Tien Mai, et al. ∙ 26 ∙ share

read it
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization

Domain generalization is the problem of machine learning when the traini...
02/13/2020 ∙ by Vikas K. Garg, et al. ∙ 26 ∙ share

read it
3D Traffic Simulation for Autonomous Vehicles in Unity and Python

Over the recent years, there has been an explosion of studies on autonom...
10/30/2018 ∙ by Zhijing Jin, et al. ∙ 24 ∙ share

read it
On Fast Leverage Score Sampling and Optimal Learning

Leverage score sampling provides an appealing way to perform approximate...
10/31/2018 ∙ by Alessandro Rudi, et al. ∙ 24 ∙ share

read it
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling

We consider the problem of inferring the values of an arbitrary set of v...
02/06/2019 ∙ by Hao Wang, et al. ∙ 24 ∙ share

read it
Are Transformers universal approximators of sequence-to-sequence functions?

Despite the widespread adoption of Transformer models for NLP tasks, the...
12/20/2019 ∙ by Chulhee Yun, et al. ∙ 24 ∙ share

read it
Federated Visual Classification with Real-World Data Distribution

Federated Learning enables visual models to be trained on-device, bringi...
03/18/2020 ∙ by Tzu Ming Harry Hsu, et al. ∙ 24 ∙ share

read it
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning

Learning robotic manipulation tasks using reinforcement learning with sp...
12/23/2019 ∙ by Richard Li, et al. ∙ 23 ∙ share

read it
How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Today, the prominence of data science within organizations has given ris...
01/18/2020 ∙ by Amy X. Zhang, et al. ∙ 23 ∙ share

read it
The Limitations of Adversarial Training and the Blind-Spot Attack

The adversarial training procedure proposed by Madry et al. (2018) is on...
01/15/2019 ∙ by Huan Zhang, et al. ∙ 22 ∙ share

read it
Speech2Face: Learning the Face Behind a Voice

How much can we infer about a person's looks from the way they speak? In...
05/23/2019 ∙ by Tae-Hyun Oh, et al. ∙ 22 ∙ share

read it
Observational Overfitting in Reinforcement Learning

A major component of overfitting in model-free reinforcement learning (R...
12/06/2019 ∙ by Xingyou Song, et al. ∙ 21 ∙ share

read it
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning

Human social behavior is structured by relationships. We form teams, gro...
01/18/2019 ∙ by Michael Shum, et al. ∙ 20 ∙ share

read it
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Graph representation learning resurges as a trending research subject ow...
02/26/2019 ∙ by Aldo Pareja, et al. ∙ 20 ∙ share

read it
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates

We propose a robust approach for the registration of two sets of 3D poin...
03/20/2019 ∙ by Heng Yang, et al. ∙ 20 ∙ share

read it
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

We recover a video of the motion taking place in a hidden scene by obser...
12/05/2019 ∙ by Miika Aittala, et al. ∙ 20 ∙ share

read it
Overinterpretation reveals image classification model pathologies

Image classifiers are typically scored on their test set accuracy, but h...
03/19/2020 ∙ by Brandon Carter, et al. ∙ 20 ∙ share

read it
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

Semidefinite Programming (SDP) and Sums-of-Squares (SOS) relaxations hav...
09/18/2019 ∙ by Heng Yang, et al. ∙ 19 ∙ share

read it
Minimax Semiparametric Learning With Approximate Sparsity

Many objects of interest can be expressed as a linear, mean square conti...
12/27/2019 ∙ by Jelena Bradic, et al. ∙ 19 ∙ share

read it
What is the State of Neural Network Pruning?

Neural network pruning—the task of reducing the size of a network by rem...
03/06/2020 ∙ by Davis Blalock, et al. ∙ 19 ∙ share

read it
Efficiently testing local optimality and escaping saddles for ReLU networks

We provide a theoretical algorithm for checking local optimality and esc...
09/28/2018 ∙ by Chulhee Yun, et al. ∙ 18 ∙ share

read it
Predicting Factuality of Reporting and Bias of News Media Sources

We present a study on predicting the factuality of reporting and bias of...
10/02/2018 ∙ by Ramy Baly, et al. ∙ 18 ∙ share

read it
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation

Infarcted brain tissue resulting from acute stroke readily shows up as h...
04/30/2019 ∙ by Jonathan Rubin, et al. ∙ 18 ∙ share

read it
Pareto-optimal data compression for binary classification tasks

The goal of lossy data compression is to reduce the storage cost of a da...
08/23/2019 ∙ by Max Tegmark, et al. ∙ 17 ∙ share

read it
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps

In this paper, we propose a novel approach for agent motion prediction i...
12/14/2019 ∙ by Igor Gilitschenski, et al. ∙ 17 ∙ share

read it
ARDA: Automatic Relational Data Augmentation for Machine Learning

Automatic machine learning () is a family of techniques to automate the ...
03/21/2020 ∙ by Nadiia Chepurko, et al. ∙ 17 ∙ share

read it
Every Local Minimum is a Global Minimum of an Induced Model

For non-convex optimization in machine learning, this paper proves that ...
04/07/2019 ∙ by Kenji Kawaguchi, et al. ∙ 16 ∙ share

read it
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

As machine learning is applied more and more widely, data scientists oft...
05/22/2019 ∙ by Micah J. Smith, et al. ∙ 16 ∙ share

read it
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout

In classification applications, we often want probabilistic predictions ...
06/23/2019 ∙ by Zhilu Zhang, et al. ∙ 16 ∙ share

read it
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings

We introduce a new video synthesis task: synthesizing time lapse videos ...
01/04/2020 ∙ by Amy Zhao, et al. ∙ 16 ∙ share

read it
Safe Predictors for Enforcing Input-Output Specifications

We present an approach for designing correct-by-construction neural netw...
01/29/2020 ∙ by Stephen Mell, et al. ∙ 16 ∙ share

read it
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

We present a unified representation for actionable spatial perception: 3...
02/15/2020 ∙ by Antoni Rosinol, et al. ∙ 16 ∙ share

read it
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion

Manipulation planning is the task of computing robot trajectories that m...
09/16/2019 ∙ by Wei Gao, et al. ∙ 15 ∙ share

read it
ℓ_∞ Vector Contraction for Rademacher Complexity

We show that the Rademacher complexity of any R^K-valued function class ...
11/15/2019 ∙ by Dylan J. Foster, et al. ∙ 15 ∙ share

read it
Meta-learning curiosity algorithms

We hypothesize that curiosity is a mechanism found by evolution that enc...
03/11/2020 ∙ by Ferran Alet, et al. ∙ 15 ∙ share

read it
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

Object-based factorizations provide a useful level of abstraction for in...
12/28/2018 ∙ by Michael Janner, et al. ∙ 14 ∙ share

read it
Learning protein sequence embeddings using information from structure

Inferring the structural properties of a protein from its amino acid seq...
02/22/2019 ∙ by Tristan Bepler, et al. ∙ 14 ∙ share

read it