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temperature parameter

11 papers

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contrastive learning (5) representation learning (3) distributionally robust optimization (2) self-supervised learning (2) annealing schedule (1) representational learning (1) sigmoid loss (1) embedding structure (1) optimal embedding (1) multi-agent coordination (1)

Papers

Effective post-training embedding compression via temperature control in contrastive training ICLR 2025 Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024 Decoupling regularization from the action space ICLR 2024 Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023 Temperature Schedules for self-supervised contrastive methods on long-tail data ICLR 2023 Understanding Contrastive Learning via Distributionally Robust Optimization NeurIPS 2023 Understanding the Behaviour of Contrastive Loss CVPR 2021 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020 Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NeurIPS 2019 Two-temperature logistic regression based on the Tsallis divergence AISTATS 2019 Variational Tempering AISTATS 2016