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Poster
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Tue 14:00
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An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Jinkun Cao · Ruiqian Nai · Qing Yang · Jialei Huang · Yang Gao
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Poster
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Tue 14:00
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Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
Sebastian Dalleiger · Jilles Vreeken
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Poster
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Thu 14:00
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CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Siddhant Kharbanda · Atmadeep Banerjee · Erik Schultheis · Rohit Babbar
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Poster
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Tue 14:00
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Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Jin Chen · Defu Lian · Yucheng Li · Baoyun Wang · Kai Zheng · Enhong Chen
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Poster
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Thu 9:00
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A sharp NMF result with applications in network modeling
Jiashun Jin
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Poster
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Tue 14:00
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What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
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Poster
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Thu 14:00
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A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
Jelena Diakonikolas · Chenghui Li · Swati Padmanabhan · Chaobing Song
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Poster
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Thu 9:00
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An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei · H.-Y. Xu · Faen Zhang · Yuxin Peng · Wei Zhou
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Poster
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Tue 9:00
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Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Jayneel Parekh · Sanjeel Parekh · Pavlo Mozharovskyi · Florence d'Alché-Buc · Gaël Richard
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Poster
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Thu 9:00
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Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang · Huan Xiong · Bin Gu
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Workshop
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Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang · Seonghyeon Ye · Minjoon Seo
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Workshop
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How Sure to Be Safe? Difficulty, Confidence and Negative Side Effects
John Burden · José Hernández-Orallo · Sean O hEigeartaigh
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