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Mon 1:00 FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Pengyu Cheng · Weituo Hao · Siyang Yuan · Shijing Si · Lawrence Carin
Mon 1:00 A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian · Jian Ren · Menglei Chai · Kyle Olszewski · Xi Peng · Dimitris Metaxas · Sergey Tulyakov
Mon 1:00 Exploring Balanced Feature Spaces for Representation Learning
Bingyi Kang · Yu Li · Sain Xie · Zehuan Yuan · Jiashi Feng
Mon 1:00 On Learning Universal Representations Across Languages
Xiangpeng Wei · Rongxiang Weng · Yue Hu · Luxi Xing · Heng Yu · Weihua Luo
Mon 5:45 Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair · Tomer Michaeli
Mon 9:00 Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu · Milan Mosse · Chengxu Zhuang · Daniel Yamins · Noah Goodman
Mon 9:00 NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang · Adam Kortylewski · Alan Yuille
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
Mon 9:00 What Should Not Be Contrastive in Contrastive Learning
Tete Xiao · Xiaolong Wang · Alexei Efros · trevor darrell
Mon 17:00 MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li · Caiming Xiong · Steven Hoi
Mon 19:15 Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions
Zhengxian Lin · Kin-Ho Lam · Alan Fern
Tue 1:00 Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster · Rattana Pukdee · Tom Rainforth