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04/06/2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Unsupervised semantic segmentation is a long-standing challenge in compu...
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10/31/2022
Iterative Teaching by Data Hallucination
We consider the problem of iterative machine teaching, where a teacher s...
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10/29/2022
Spectral Representation Learning for Conditional Moment Models
Many problems in causal inference and economics can be formulated in the...
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07/20/2022
Learning Counterfactually Invariant Predictors
We propose a method to learn predictors that are invariant under counter...
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04/01/2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Standard variational lower bounds used to train latent variable models p...
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11/22/2019
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures
Bayesian neural networks (BNNs) introduce uncertainty estimation to deep...
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09/20/2019
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels
Recently deep neural networks have shown their capacity to memorize trai...
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03/24/2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Deep learning methods have shown promise in unsupervised domain adaptati...
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10/29/2018
Semi-crowdsourced Clustering with Deep Generative Models
We consider the semi-supervised clustering problem where crowdsourcing p...
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11/01/2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
The paper proposes an inductive semi-supervised learning method, called ...
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09/18/2017