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Poster
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Wed 17:00
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Mind the Pad -- CNNs Can Develop Blind Spots
Bilal Alsallakh · Narine Kokhlikyan · Vivek Miglani · Jun Yuan · Orion Reblitz-Richardson
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Poster
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Tue 9:00
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Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
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Poster
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Wed 1:00
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Learning Task Decomposition with Ordered Memory Policy Network
Yuchen Lu · Yikang Shen · Siyuan Zhou · Aaron Courville · Joshua B Tenenbaum · Chuang Gan
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Poster
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Mon 17:00
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On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
Peizhao Li · Yifei Wang · Han Zhao · Pengyu Hong · Hongfu Liu
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Workshop
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Fri 11:41
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Contributed Talk: Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data
Alberto Olmo · Niharika Jain
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Workshop
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Fri 8:40
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Biased Client Selection for Improved Convergence of Federated Learning
Gauri Joshi
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Workshop
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Fri 10:51
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"Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University
Stefano Ermon
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Workshop
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Fri 6:31
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Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Yoshua Bengio
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Poster
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Thu 9:00
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Directed Acyclic Graph Neural Networks
Veronika Thost · Jie Chen
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Workshop
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Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri
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Workshop
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Fri 9:06
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Q&A for Biased Client Selection for Improved Convergence of Federated Learning
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Workshop
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Fri 6:56
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QA: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
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