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Oral
Tue 1:40 Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee · Eungyeup Kim · Juyoung Lee · Jihyeon Lee · Jaegul Choo
Poster
Tue 8:30 Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish
Poster
Tue 8:30 The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger · Natalia Shepeleva · Marius-Constantin Dinu · Hamid Eghbal-zadeh · Hoan Duc Nguyen · Bernhard Nessler · Sergei Pereverzyev · Bernhard A. Moser
Poster
Tue 8:30 Domain Invariant Representation Learning with Domain Density Transformations
A. Tuan Nguyen · Toan Tran · Yarin Gal · Atilim Gunes Baydin
Poster
Tue 8:30 Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason Lee · Qi Lei · Nikunj Saunshi · JIACHENG ZHUO
Poster
Tue 8:30 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
Poster
Tue 8:30 Learning One Representation to Optimize All Rewards
Ahmed Touati · Yann Ollivier
Poster
Tue 8:30 Volume Rendering of Neural Implicit Surfaces
Lior Yariv · Jiatao Gu · Yoni Kasten · Yaron Lipman
Poster
Tue 8:30 Comprehensive Knowledge Distillation with Causal Intervention
Xiang Deng · Zhongfei Zhang
Poster
Tue 8:30 Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury · Iro Laina · Christian Rupprecht · Andrea Vedaldi
Poster
Tue 8:30 Pooling by Sliced-Wasserstein Embedding
Navid Naderializadeh · Joseph F Comer · Reed Andrews · Heiko Hoffmann · Soheil Kolouri
Poster
Tue 8:30 PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass