Gabriel Kreiman
18 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Topic Evolution
π₯
Unstoppable Β· Bronze
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The Questioner
(2)
ποΈ
Keyword Collector
(110)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(10)
Core AI Β· Artificial Intelligence
(9)
Deep Learning
(7)
Computer Vision
(6)
Learning Types Β· Machine Learning
(6)
Analysis
(5)
Core Methods
(5)
Optimization & Theory
(5)
Application Areas
(4)
Learning Types Β· Deep Learning
(4)
Interdisciplinary
(3)
Architectures
(3)
Cognitive Science
(2)
Core AI Β· Computer Vision
(2)
Keywords
representation learning
(3)
object recognition
(2)
neural network
(2)
scene context
(2)
deep neural network
(2)
distribution shift
(2)
biological plausibility
(2)
intracranial recording
(2)
computer vision
(2)
continual learning
(2)
neural network training
(1)
human activity recognition
(1)
neural encoding
(1)
sparse representation
(1)
catastrophic forgetting
(1)
contrastive learning
(1)
universal dependencies
(1)
scene understanding
(1)
data augmentation
(1)
knowledge transfer
(1)
Papers
HumorDB: Can AI understand graphical humor?
ICCV 2025
L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement
ICLR 2025
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
AAAI 2025
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NeurIPS 2024
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
NeurIPS 2024
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
ICLR 2024
Revealing Vision-Language Integration in the Brain with Multimodal Networks
ICML 2024
BrainBERT: Self-supervised representation learning for intracranial recordings
ICLR 2023
Emergence of Sparse Representations from Noise
ICML 2023
Learning to Learn: How to Continuously Teach Humans and Machines
ICCV 2023
Sparse Distributed Memory is a Continual Learner
ICLR 2023
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
ICML 2022
Robust Feature-Level Adversaries are Interpretability Tools
NeurIPS 2022
Frivolous Units: Wider Networks Are Not Really That Wide
AAAI 2021
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
NeurIPS 2021
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
ICCV 2021
Can Deep Learning Recognize Subtle Human Activities?
CVPR 2020
Putting Visual Object Recognition in Context
CVPR 2020