Gabriel Kreiman
18 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (5)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(6)
🏆
Keyword Champion
(2)
🏆
Grand Slam
🧬
Topic Evolution
👑
Triple Crown
🔥
Unstoppable
(6)
💎
Century Club
(18)
❓
The Questioner
(2)
🗃️
Keyword Collector
(89)
Conferences
ICLR (4)
NIPS (4)
ICCV (3)
ICML (3)
AAAI (2)
CVPR (2)
Top co-authors
Keywords
computer vision
(2)
neural network
(2)
scene context
(2)
representation learning
(2)
distribution shift
(2)
object recognition
(2)
deep neural network
(2)
knowledge transfer
(1)
domain generalization
(1)
continual learning
(1)
sparse representation
(1)
curriculum learning
(1)
neural encoding
(1)
universal dependencies
(1)
human activity recognition
(1)
action recognition
(1)
class-incremental learning
(1)
network pruning
(1)
visual search
(1)
contextual information
(1)
Papers
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
HumorDB: Can AI understand graphical humor?
ICCV 2025
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
ICLR 2024
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
NIPS 2024
Revealing Vision-Language Integration in the Brain with Multimodal Networks
ICML 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NIPS 2024
Learning to Learn: How to Continuously Teach Humans and Machines
ICCV 2023
Sparse Distributed Memory is a Continual Learner
ICLR 2023
BrainBERT: Self-supervised representation learning for intracranial recordings
ICLR 2023
Emergence of Sparse Representations from Noise
ICML 2023
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
ICML 2022
Robust Feature-Level Adversaries are Interpretability Tools
NIPS 2022
Frivolous Units: Wider Networks Are Not Really That Wide
AAAI 2021
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
ICCV 2021
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
NIPS 2021
Can Deep Learning Recognize Subtle Human Activities?
CVPR 2020
Putting Visual Object Recognition in Context
CVPR 2020