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Poster
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Anji Liu · Honghua Zhang · Guy Van den Broeck
Poster
What shapes the loss landscape of self supervised learning?
Liu Ziyin · Ekdeep Singh Lubana · Masahito Ueda · Hidenori Tanaka
Poster
Efficient approximation of neural population structure and correlations with probabilistic circuits
Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice
Poster
TypeT5: Seq2seq Type Inference using Static Analysis
Jiayi Wei · Greg Durrett · Isil Dillig
Poster
Stay Moral and Explore: Learn to Behave Morally in Text-based Games
Zijing Shi · Meng Fang · Yunqiu Xu · Ling Chen · Yali Du
Workshop
Thu 1:00 What do we need for successful domain generalization?
Aniket Anand Deshmukh · Henry Gouk · Da Li · Cuiling Lan · Kaiyang Zhou · Timothy Hospedales
Thu 23:00 Safe and Responsible Artificial Intelligence
Hang Su
Workshop
Fri 6:00 Backdoor Attacks and Defenses in Machine Learning
Guanhong Tao · Kaiyuan Zhang · Shawn Shan · Emily Wenger · Rui Zhu · Eugene Bagdasaryan · Naren Sarayu Manoj · Taylor Kulp-McDowall · Yousra Aafer · Shiqing Ma · Xiangyu Zhang
Workshop
Fri 5:30 Deep Learning for Code (DL4C)
Torsten Scholak · Zijian Wang · Disha Shrivastava · Gabriel Orlanski · Devjeet Roy
Workshop
Thu 6:00 From Molecules to Materials: ICLR 2023 Workshop on Machine learning for materials (ML4Materials)
Tian Xie · Xiang Fu · Simon Batzner · Hanchen Wang · Adji Dieng · Ekin Cubuk · Elsa Olivetti · Kristin Persson · Tommi Jaakkola · Max Welling
Workshop
Fri 2:00 Machine Learning for Drug Discovery (MLDD)
Pascal Notin · Sonali Parbhoo · Patrick Schwab · Ece Özkan Elsen · Stefan Bauer · Debora Marks · Yarin Gal · Ashkan Soleymani · Clare Lyle · Max Shen · Ehsan Hajiramezanali
Workshop
Fri 0:00 Multimodal Representation Learning (MRL): Perks and Pitfalls
Adrián Javaloy · Miguel Vasco · Imant Daunhawer · Petra Poklukar · Yuge Shi · Danica Kragic · Isabel Valera