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Poster
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Wed 7:30
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Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
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Poster
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Fri 1:45
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How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng Du · Zhen Fang · Ilias Diakonikolas · Yixuan Li
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Poster
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Thu 7:30
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Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
Frederic Koehler · Thuy-Duong Vuong
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Workshop
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Wild Comparisons: A Study of how Representation Similarity Changes when Input Data is Drawn from a Shifted Distribution
Davis Brown · Madelyn Shapiro · Alyson Bittner · Jackson Warley · Henry Kvinge
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Workshop
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The impact of task structure, representational geometry, and learning mechanism on compositional generalization
Samuel Lippl · Kimberly Stachenfeld
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Poster
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Wed 7:30
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ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
William Yang · Byron Zhang · Olga Russakovsky
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Poster
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Fri 7:30
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Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu · Rongyu Chen · Gianni Franchi · Angela Yao
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Poster
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Fri 7:30
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ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng · Yadan Luo · Yonggang Zhang · Yixuan Li · Zhen Fang
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Poster
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Tue 1:45
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Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
Tomoya Murata · Kenta Niwa · Takumi Fukami · Iifan Tyou
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Poster
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Fri 1:45
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DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang · Hao Cheng · MingCai Chen · Chongjun Wang · Hongxin Wei
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Poster
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Wed 7:30
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Out-of-Distribution Detection with Negative Prompts
Jun Nie · Yonggang Zhang · Zhen Fang · Tongliang Liu · Bo Han · Xinmei Tian
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Poster
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Wed 1:45
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Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Yibing Liu · Chris Xing TIAN · Haoliang Li · Lei Ma · Shiqi Wang
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