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11/22/2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
We provide a new multi-task benchmark for evaluating text-to-image model...
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06/11/2022
A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams
Can a machine learn machine learning? We propose to answer this question...
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11/16/2021
Tracking Blobs in the Turbulent Edge Plasma of Tokamak Fusion Reactors
The analysis of turbulent flows is a significant area in fusion plasma p...
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11/16/2021
Solving Linear Algebra by Program Synthesis
We solve MIT's Linear Algebra 18.06 course and Columbia University's Com...
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11/03/2021
AlphaD3M: Machine Learning Pipeline Synthesis
We introduce AlphaD3M, an automatic machine learning (AutoML) system bas...
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10/30/2021
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring
The Biogeochemical-Argo (BGC-Argo) program is building a network of glob...
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10/29/2021
Predicting Atlantic Multidecadal Variability
Atlantic Multidecadal Variability (AMV) describes variations of North At...
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10/13/2021
Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge
Kinship verification is the task of determining whether a parent-child, ...
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10/06/2021
Pedestrian Wind Factor Estimation in Complex Urban Environments
Urban planners and policy makers face the challenge of creating livable ...
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05/28/2021
Autonomous Optimization of Fluid Systems at Varying Length Scales
Autonomous optimization is a process by which hardware conditions are di...
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05/06/2021
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop
High-performance semiconductor optoelectronics such as perovskites have ...
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03/26/2021
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
Measuring the acoustic characteristics of a space is often done by captu...
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12/01/2020
High Quality Real-Time Structured Debate Generation
Automatically generating debates is a challenging task that requires an ...
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07/14/2020
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models
In this work we show that semi-supervised models for vehicle trajectory ...
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06/06/2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time
Combinatorial optimization algorithms for graph problems are usually des...
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11/18/2019
Accurate Trajectory Prediction for Autonomous Vehicles
Predicting vehicle trajectories, angle and speed is important for safe a...
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11/12/2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
In this work, we introduce Graph Pointer Networks (GPNs) trained using r...
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11/09/2019
Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations
Proteins are the major building blocks of life, and actuators of almost ...
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10/23/2019
Winning the ICCV 2019 Learning to Drive Challenge
Autonomous driving has a significant impact on society. Predicting vehic...
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10/23/2019
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge
In this work we predict vehicle speed and steering angle given camera im...
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10/10/2019
Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities
We present a new task of query auto-completion for estimating instance p...
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10/08/2019
AutoML using Metadata Language Embeddings
As a human choosing a supervised learning algorithm, it is natural to be...
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10/08/2019
Prose for a Painting
Painting captions are often dry and simplistic which motivates us to des...
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09/20/2019
Particle Smoothing Variational Objectives
A body of recent work has focused on constructing a variational family o...
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05/24/2019
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Automatic machine learning is an important problem in the forefront of m...
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11/17/2018