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Poster
Wed 9:00 Boosting Out-of-distribution Detection with Typical Features
Yao Zhu · YueFeng Chen · Chuanlong Xie · Xiaodan Li · Rong Zhang · Hui Xue' · Xiang Tian · bolun zheng · Yaowu Chen
Poster
Thu 14:00 Semantic uncertainty intervals for disentangled latent spaces
Swami Sankaranarayanan · Anastasios Angelopoulos · Stephen Bates · Yaniv Romano · Phillip Isola
Poster
Tue 14:00 Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
Yifei Wang · Tavor Baharav · Yanjun Han · Jiantao Jiao · David Tse
Poster
Thu 9:00 Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Andrew M. Childs · Tongyang Li · Jin-Peng Liu · Chunhao Wang · Ruizhe Zhang
Poster
Thu 14:00 Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Tue 9:00 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas · Daniel Kane · Jasper Lee · Ankit Pensia
Poster
Thu 14:00 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim · Jongmin Lee · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim
Poster
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham · Thai Hung Le · Man Ngo · Truyen Tran
Poster
Thu 9:00 Heatmap Distribution Matching for Human Pose Estimation
Haoxuan Qu · Li Xu · Yujun Cai · Lin Geng Foo · Jun Liu
Poster
Wed 9:00 On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal · Alexander Havrilla · Minshuo Chen · Tuo Zhao · Wenjing Liao
Poster
Tue 9:00 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Zhi Gao · Yuwei Wu · Yunde Jia · Mehrtash Harandi
Workshop
Sat 10:30 Federated Learning for Appearance-based Gaze Estimation in the Wild
Mayar Elfares · Zhiming Hu · Pascal Reisert · Andreas Bulling · Ralf K├╝sters