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94 Results
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Poster
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Thu 8:45 |
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation Weihang Dai · Yao DU · Hanru Bai · Kwang-Ting Cheng · Xiaomeng Li |
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Poster
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Wed 8:45 |
: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng · Xiyao Wang · Yanchao Sun · Shuang Ma · Jieyu Zhao · Huazhe Xu · Hal Daumé III · Furong Huang |
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Poster
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Wed 8:45 |
Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen · Mark Collier · Basil Mustafa · Xiao Wang · Xiaohua Zhai · Lucas Beyer · Andreas Steiner · Andreas Steiner · Jesse Berent · Rodolphe Jenatton · Effrosyni Kokiopoulou |
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Workshop
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Improving Domain Generalization in Contrastive Learning via Domain-Aware Temperature Control Robert Lewis · Katie Matton · Rosalind Picard · John Guttag |
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Workshop
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is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng · Yongyuan Liang · Xiyao Wang · Shuang Ma · Hal Daumé III · Huazhe Xu · John Langford · Praveen Palanisamy · Kalyan Basu · Furong Huang |
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Poster
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Tue 8:45 |
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training Jian Meng · Li Yang · Kyungmin Lee · Jinwoo Shin · Deliang Fan · Jae-sun Seo |
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Workshop
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Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon · Dohyun Kwon · Himchan Hwang · Yung-Kyun Noh · Frank Park |
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Workshop
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Coarse graining systems on inhomogeneous graphs using contrastive learning Doruk Efe Gökmen · Maciej Koch-Janusz · Zohar Ringel · Sebastian Huber · Felix Flicker · Sounak Biswas |
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Poster
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Thu 8:45 |
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul Scotti · Atmadeep Banerjee · Jimmie Goode · Stepan Shabalin · Alex Nguyen · ethan cohen · Aidan Dempster · Nathalie Verlinde · Elad Yundler · David Weisberg · Kenneth Norman · Tanishq Abraham |
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Workshop
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Fri 11:35 |
Does CLIP’s generalization performance mainly stem from high train-test similarity? Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel |