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Workshop
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Continual Learning for Forgetting in Deep Generative Models
Alvin Heng · Harold Soh
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Workshop
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Mathematical Theory of Adversarial Deep Learning
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Affinity Workshop
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Mon 19:15
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Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification
Pablo Rivas · Mehang Rai
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Poster
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Tue 14:00
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FeDXL: Provable Federated Learning for Deep X-Risk Optimization
Zhishuai Guo · Rong Jin · Jiebo Luo · Tianbao Yang
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Workshop
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Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
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Poster
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Tue 17:00
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Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
Zifan Song · Xiao Gong · Guosheng Hu · Cairong Zhao
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Poster
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Tue 17:00
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Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian R. Bartoldson · Bhavya Kailkhura · Davis Blalock
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Poster
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Thu 13:30
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DDGR: Continual Learning with Deep Diffusion-based Generative Replay
Rui Gao · Weiwei Liu
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Poster
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Wed 17:00
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Training Deep Surrogate Models with Large Scale Online Learning
Lucas Meyer · Marc Schouler · Robert Caulk · Alejandro Ribes · Bruno Raffin
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Workshop
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Fri 17:25
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Deceptive Alignment Monitoring
Andres Carranza · Dhruv Pai · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo
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Workshop
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Synergizing Deep Reinforcement Learning and Biological Pursuit Behavioral Rule for Robust and Interpretable Navigation
Kazushi Tsutsui · Kazuya Takeda · Keisuke Fujii
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
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