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Workshop
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Bridging the Gap: From Post Hoc Explanations to Inherently Interpretable Models for Medical Imaging
Shantanu Ghosh · Ke Yu · Forough Arabshahi · Kayhan Batmanghelich
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Workshop
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On the Problem of Transferring Learning Trajectories Between Neural Networks
Daiki Chijiwa
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Poster
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Thu 16:30
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Which Invariance Should We Transfer? A Causal Minimax Learning Approach
Mingzhou Liu · Xiangyu Zheng · Xinwei Sun · Fang Fang · Yizhou Wang
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Workshop
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Multi-fidelity Emulator for Cosmological Large Scale 21 cm Lightcone Images: a Few-shot Transfer Learning Approach with GAN
Kangning Diao · Yi Mao
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Poster
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Wed 17:00
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Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
Anass Aghbalou · Guillaume Staerman
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Poster
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Tue 17:00
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Investigating the Role of Model-Based Learning in Exploration and Transfer
Jacob C Walker · Eszter Vértes · Yazhe Li · Gabriel Dulac-Arnold · Ankesh Anand · Theophane Weber · Jessica Hamrick
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Workshop
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TMI! Finetuned Models Spill Secrets from Pretraining
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Poster
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Tue 14:00
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Polarity Is All You Need to Learn and Transfer Faster
Alice (Qingyang) Wang · Michael Powell · Eric Bridgeford · Ali Geisa · Joshua Vogelstein
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Workshop
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Transferable Adversarial Perturbations between Self-Supervised Speech Recognition Models
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Workshop
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Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer
Song Wei · Ronald Moore · Hanyu Zhang · Yao Xie · Rishikesan Kamaleswaran
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Oral
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Wed 19:48
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HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee · Garam Lee · Jung Woo Kim · Junbum Shin · Mun-Kyu Lee
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Poster
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Wed 17:00
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HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee · Garam Lee · Jung Woo Kim · Junbum Shin · Mun-Kyu Lee
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