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15 Results
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Workshop
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On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam · Mark Ho · Noah Goodman · Benjamin Van Roy |
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Poster
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Wed 9:00 |
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography Xudong Pan · Shengyao Zhang · Mi Zhang · Yifan Yan · Min Yang |
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Poster
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Wed 9:00 |
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits Ilai Bistritz · Nicholas Bambos |
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Poster
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Wed 9:00 |
Parameter-Efficient Masking Networks Yue Bai · Huan Wang · Xu Ma · Yitian Zhang · Zhiqiang Tao · Yun Fu |
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Poster
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Tue 14:00 |
On Measuring Excess Capacity in Neural Networks Florian Graf · Sebastian Zeng · Bastian Rieck · Marc Niethammer · Roland Kwitt |
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Poster
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Benefits of Additive Noise in Composing Classes with Bounded Capacity Alireza Fathollah Pour · Hassan Ashtiani |
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Poster
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Wed 14:00 |
Efficient coding, channel capacity, and the emergence of retinal mosaics Na Young Jun · Greg Field · John Pearson |
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Poster
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Thu 9:00 |
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification Hsiang Hsu · Flavio Calmon |
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Workshop
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Sat 9:10 |
Predicting Network Buffer Capacity for BBR Fairness Ibrahim Umit Akgun · Santiago Vargas · Andrew Burford · Michael McNeill · Michael Arkhangelskiy · Aruna Balasubramanian · Anshul Gandhi · Erez Zadok |
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Workshop
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan |
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Workshop
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Fri 8:25 |
Foundations of Attention Mechanisms in Deep Neural Network Architectures Pierre Baldi · Roman Vershynin |
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Workshop
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Predicting Network Buffer Capacity for BBR Fairness Ibrahim Umit Akgun · Santiago Vargas · Andrew Burford · Michael McNeill · Michael Arkhangelskiy · Aruna Balasubramanian · Anshul Gandhi · Erez Zadok |