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07/18/2023
Can Neural Network Memorization Be Localized?
Recent efforts at explaining the interplay of memorization and generaliz...
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05/31/2023
Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior
The aim of object-centric vision is to construct an explicit representat...
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11/18/2022
Layer-Stack Temperature Scaling
Recent works demonstrate that early layers in a neural network contain u...
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11/09/2022
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Recent research in clustering face embeddings has found that unsupervise...
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03/11/2022
Overcoming Temptation: Incentive Design For Intertemporal Choice
Individuals are often faced with temptations that can lead them astray f...
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01/10/2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Transfer-learning methods aim to improve performance in a data-scarce ta...
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09/13/2021
Online Unsupervised Learning of Visual Representations and Categories
Real world learning scenarios involve a nonstationary distribution of cl...
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09/06/2021
Learning Neural Causal Models with Active Interventions
Discovering causal structures from data is a challenging inference probl...
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07/30/2021
Soft Calibration Objectives for Neural Networks
Optimal decision making requires that classifiers produce uncertainty es...
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03/29/2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
Recent work has argued that classification losses utilizing softmax cros...
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03/15/2021
Understanding invariance via feedforward inversion of discriminatively trained classifiers
A discriminatively trained neural net classifier achieves optimal perfor...
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02/19/2021
Training cascaded networks for speeded decisions using a temporal-difference loss
Although deep feedforward neural networks share some characteristics wit...
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12/15/2020
Mitigating bias in calibration error estimation
Building reliable machine learning systems requires that we correctly un...
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10/13/2020
Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity
Deep-learning vision models have shown intriguing similarities and diffe...
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07/09/2020
Wandering Within a World: Online Contextualized Few-Shot Learning
We aim to bridge the gap between typical human and machine-learning envi...
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02/08/2020
Exploring the Memorization-Generalization Continuum in Deep Learning
Human learners appreciate that some facts demand memorization whereas ot...
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09/25/2019
Stochastic Prototype Embeddings
Supervised deep-embedding methods project inputs of a domain to a repres...
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06/08/2019
Convolutional Bipartite Attractor Networks
In human perception and cognition, the fundamental operation that brains...
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05/26/2019
Sequential mastery of multiple tasks: Networks naturally learn to learn
We explore the behavior of a standard convolutional neural net in a sett...
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05/26/2019
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Machine learning promises methods that generalize well from finite label...
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09/28/2018
Open-Ended Content-Style Recombination Via Leakage Filtering
We consider visual domains in which a class label specifies the content ...
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09/11/2018
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Learning long-term dependencies in extended temporal sequences requires ...
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05/22/2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
The focus in machine learning has branched beyond training classifiers o...
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05/22/2018
State-Denoised Recurrent Neural Networks
Recurrent neural networks (RNNs) are difficult to train on sequence proc...
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02/14/2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Deep-embedding methods aim to discover representations of a domain that ...
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10/11/2017
Discrete Event, Continuous Time RNNs
We investigate recurrent neural network architectures for event-sequence...
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12/24/2016
Improving Human-Machine Cooperative Visual Search With Soft Highlighting
Advances in machine learning have produced systems that attain human-lev...
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03/14/2016