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  • Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

    Mengyuan Chen, Junyu Gao, Changsheng Xu p82560-82593 from Advances in Neural Information Processing Systems 37
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  • ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

    Assaf Arbelle, Victor Butoi, Trevor Darrell, Sivan Doveh, Rogerio Feris, Chuang Gan, Jacob Hansen, Roei Herzig, Irene Huang, Leonid Karlinsky, Hilde Kuehne, Wei Lin, M. Mirza, Aude Oliva p22927-22946 from Advances in Neural Information Processing Systems 37
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  • Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems

    Thinh Doan, Justin Romberg, Sihan Zeng p20146-20163 from Advances in Neural Information Processing Systems 36
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  • Connecting a Direct Transfer to a Low Energy Transfer Via Lunar Flyby

    International Astronautical Federation (IAF)

    Connecting a Direct Transfer to a Low Energy Transfer Via Lunar Flyby

    Javier Hernando Ayuso, Alejandro Sanchez Duran, Jose Maria Gracia Gomez, Tiago Monteiro Padovan, Fernando Gonzalez-Meruelo p648-656 from IAF Astrodynamics Symposium
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  • Connecting Certified and Adversarial Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Certified and Adversarial Training

    Marc Fischer, Yuhao Mao, Mark Müller, Martin Vechev p73422-73440 from Advances in Neural Information Processing Systems 36
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  • Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning

    Shentong Mo, Shengbang Tong p2348-2377 from Advances in Neural Information Processing Systems 37
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  • Connecting Laboratory and Spectroscopic Observations of Aerospace Materials to Characterize the Reflectivity of Artificial Space Objects and Debris in LEO Regimes

    International Astronautical Federation (IAF)

    Connecting Laboratory and Spectroscopic Observations of Aerospace Materials to Characterize the Reflectivity of Artificial Space Objects and Debris in LEO Regimes

    Danica Zilkova, Jiri Silha, Pavel Vojtek, Julian Rodriguez-Villamizar, Julia De Leon Cruz, Pavol Matlovic, Katarína Sabolová, Thomas Schildknecht, Juraj Tóth, Robert Lászlo p860-869 from 22nd IAA Symposium on Space Debris
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  • Connecting Multi-modal Contrastive Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Multi-modal Contrastive Representations

    Haifeng Huang, Linjun Li, Jiageng Liu, Li Tang, Yongqi Wang, Zehan Wang, Aoxiong Yin, Ziang Zhang, Yang Zhao, Zhou Zhao, Xize Cheng p22099-22114 from Advances in Neural Information Processing Systems 36
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  • Connecting Pre-trained Language Model and Downstream Task via Properties of Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Pre-trained Language Model and Downstream Task via Properties of Representation

    Rong Ge, Holden Lee, Chenwei Wu p47216-47238 from Advances in Neural Information Processing Systems 36
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  • Connecting Science Goals to Payloads for Titan Exploration: A Focus on Geomorphology

    International Astronautical Federation (IAF)

    Connecting Science Goals to Payloads for Titan Exploration: A Focus on Geomorphology

    Alisa Zaripova, James E. McKevitt, Shayne Beegadhur, Simonas Pukinskis, Joshua Finn, Ayush Tokeria, Ali Haider, Dhrumil Patadia, Xiaoyao Yin, Sumana Mukherjee p2287-2297 from IAF Space Exploration Symposium
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  • Connecting Space System Requirements to Design Models with Large Language Models

    International Astronautical Federation (IAF)

    Connecting Space System Requirements to Design Models with Large Language Models

    Johannes Norheim, Olivier De Weck p497-503 from IAF Space Systems Symposium
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  • Connecting the Community: Novel Approaches to Space Education

    International Astronautical Federation (IAF)

    Connecting the Community: Novel Approaches to Space Education

    Harriet Hurley, Casey Domingo p730-736 from IAF Space Education and Outreach Symposium
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