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03/20/2023
Sparse Distributed Memory is a Continual Learner
Continual learning is a problem for artificial neural networks that thei...
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02/28/2023
BrainBERT: Self-supervised representation learning for intracranial recordings
We create a reusable Transformer, BrainBERT, for intracranial recordings...
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02/10/2023
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
"Forward-only" algorithms, which train neural networks while avoiding a ...
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11/28/2022
Learning to Learn: How to Continuously Teach Humans and Machines
Our education system comprises a series of curricula. For example, when ...
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11/24/2022
Efficient Zero-shot Visual Search via Target and Context-aware Transformer
Visual search is a ubiquitous challenge in natural vision, including dai...
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11/23/2022
Human or Machine? Turing Tests for Vision and Language
As AI algorithms increasingly participate in daily activities that used ...
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11/23/2022
Reason from Context with Self-supervised Learning
A tiny object in the sky cannot be an elephant. Context reasoning is cri...
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09/05/2022
White-Box Adversarial Policies in Deep Reinforcement Learning
Adversarial examples against AI systems pose both risks via malicious at...
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06/15/2022
What makes domain generalization hard?
While several methodologies have been proposed for the daunting task of ...
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01/27/2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Supervised learning in artificial neural networks typically relies on ba...
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01/11/2022
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering
In recent years, multi-modal transformers have shown significant progres...
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10/07/2021
One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features
It is well understood that modern deep networks are vulnerable to advers...
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06/05/2021
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Visual search is a ubiquitous and often challenging daily task, exemplif...
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04/19/2021
What can human minimal videos tell us about dynamic recognition models?
In human vision objects and their parts can be visually recognized from ...
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04/06/2021
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
Context is of fundamental importance to both human and machine vision – ...
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04/06/2021
Hypothesis-driven Stream Learning with Augmented Memory
Stream learning refers to the ability to acquire and transfer knowledge ...
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01/05/2021
Look Twice: A Computational Model of Return Fixations across Tasks and Species
Saccadic eye movements allow animals to bring different parts of an imag...
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11/11/2020
Adversarial images for the primate brain
Deep artificial neural networks have been proposed as a model of primate...
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05/25/2020
What am I Searching for: Zero-shot Target Identity Inference in Visual Search
Can we infer intentions from a person's actions? As an example problem, ...
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03/30/2020
Can Deep Learning Recognize Subtle Human Activities?
Deep Learning has driven recent and exciting progress in computer vision...
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12/10/2019
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks
Deep neural networks (DNNs) perform well on a variety of tasks despite t...
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11/17/2019
Putting visual object recognition in context
Context plays an important role in visual recognition. Recent studies ha...
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05/01/2019
Gradient-free activation maximization for identifying effective stimuli
A fundamental question for understanding brain function is what types of...
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02/01/2019
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs
Children benefit from lift-the-flap books by taking on an active role in...
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07/31/2018
What am I searching for?
Can we infer intentions and goals from a person's actions? As an example...
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07/18/2018
Finding any Waldo: zero-shot invariant and efficient visual search
Searching for a target object in a cluttered scene constitutes a fundame...
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05/28/2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
While deep neural networks take loose inspiration from neuroscience, it ...
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03/06/2018
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition
Advancements in convolutional neural networks (CNNs) have made significa...
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06/07/2017
Recurrent computations for visual pattern completion
Making inferences from partial information constitutes a critical aspect...
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03/23/2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations
Deep convolutional neural networks are generally regarded as robust func...
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05/25/2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
While great strides have been made in using deep learning algorithms to ...
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11/19/2015
