A Unifying Framework for Representation Learning
Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
ICLR 2025 | March 2025
Information Contrastive Learning (I-Con)
Discovering a periodic table of machine learning connecting over 23 different methods
Publications
Publications by Year
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Coco-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha Dutell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
ICLR 2024 | April 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
ICLR 2024 | March 2024
Publications by Research Area
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A Unifying Framework for Representation Learning
Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
ICLR 2025 | March 2025
Coco-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha Dutell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
ICLR 2024 | April 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
ICLR 2024 | March 2024
-
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
ICLR 2024 | March 2024
-
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
ICLR 2024 | March 2024
Publications by Type
-
A Unifying Framework for Representation Learning
Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
ICLR 2025 | March 2025
Coco-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha Dutell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
ICLR 2024 | April 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
ICLR 2024 | March 2024