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08/07/2023
TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs
We introduce TeraHAC, a (1+ϵ)-approximate hierarchical agglomerative clu...
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12/07/2022
Reconstructing Training Data from Model Gradient, Provably
Understanding when and how much a model gradient leaks information about...
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06/23/2022
The LBNL Superfacility Project Report
The Superfacility model is designed to leverage HPC for experimental sci...
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06/11/2021
Label Noise SGD Provably Prefers Flat Global Minimizers
In overparametrized models, the noise in stochastic gradient descent (SG...
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09/15/2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
We propose an efficient inference procedure for non-autoregressive machi...
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02/17/2020
On the Discrepancy between Density Estimation and Sequence Generation
Many sequence-to-sequence generation tasks, including machine translatio...
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10/02/2019
Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summary
As part of a feasibility study, this paper shows the NASA Valkyrie human...
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09/10/2019
Countering Language Drift via Visual Grounding
Emergent multi-agent communication protocols are very different from nat...
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08/20/2019
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
Although neural machine translation models reached high translation qual...
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06/13/2019
Kernel and Deep Regimes in Overparametrized Models
A recent line of work studies overparametrized neural networks in the "k...
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06/01/2019
Multi-Turn Beam Search for Neural Dialogue Modeling
In neural dialogue modeling, a neural network is trained to predict the ...
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11/29/2018
Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging
Recently machine learning algorithms based on deep layered artificial ne...
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06/01/2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks
We show that gradient descent on full-width linear convolutional network...
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03/05/2018
Convergence of Gradient Descent on Separable Data
The implicit bias of gradient descent is not fully understood even in si...
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02/22/2018
Characterizing Implicit Bias in Terms of Optimization Geometry
We study the bias of generic optimization methods, including Mirror Desc...
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02/19/2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
We propose a conditional non-autoregressive neural sequence model based ...
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01/29/2018
Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization
Visapult is a prototype application and framework for remote visualizati...
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10/12/2017
Emergent Translation in Multi-Agent Communication
While most machine translation systems to date are trained on large para...
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10/10/2016
Fully Character-Level Neural Machine Translation without Explicit Segmentation
Most existing machine translation systems operate at the level of words,...
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10/09/2014