The Proceedings can be found here or on arXiv.org.
- TADPOLE: Task ADapted Pre-training via anOmaLy dEtection
Vivek Madan, Ashish Khetan and Zohar Karnin | Paper - CIGMO: Learning categorical invariant deep generative models from grouped data
Haruo Hosoya | Paper - Handling Long-Tail Queries with Slice-Aware Conversational Systems
Cheng Wang, Sun Kim, Taiwoo Park,Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya and Sungjin Lee | Paper - Tabular Data Modeling via Contextual Embeddings
Xin Huang, Ashish Khetan, Milan Cvitkovic and Zohar Karnin | Paper - Pre-Training by Completing Points Cloud
Hanchen Wang, Liu Qi, Xiangyu Yue, Matt Kusner and Joan Lasenby | (non-archival) - AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan and Xiang Ren | (non-archival) - Active WeaSuL: Improving Weak Supervision with Active Learning
Samantha R Biegel, Rafah El-Khatib, Luiz Otavio Vilas Boas Oliveira, Max Baak and Nanne Aben | Paper | Code - Dependency Structure Misspecification in Multi-Source Weak Supervision Models
Salva Rühling Cachay, Benedikt Boecking and Artur Dubrawski | Paper - Weakly-Supervised Group Disentanglement using Total Correlation
Linh Tran, Saeid Asgari Taghanaki, Amir Hosein Khasahmadi, Aditya Sanghi | Paper - Better adaptation to distribution shifts with Robust Pseudo-Labeling
Evgenia Rusak, Steffen Schneider, Peter Gehler, Oliver Bringmann, Bernhard Schölkopf, Wieland Brendel and Matthias Bethge | (non-archival) - Transformer Language Models as Universal Computation Engines
Kevin Lu, Aditya Grover, Pieter Abbeel and Igor Mordatch | (non-archival) - Using system context information to complement weakly labeled data
Matthias Meyer, Michaela Wenner, Clément Hibert, Fabian Walter and Lothar Thiele | Paper | Code - Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
Dmitry Kazhdan, Botty Dimanov, Helena Andres Terre, Pietro Lió, Mateja Jamnik and Adrian Weller | (non-archival) | Code - Weakly Supervised Multi-task Learning for Concept-based Explainability
Vladimir Balayan, Catarina G Belém, Pedro Saleiro and Pedro Bizarro | Paper - Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G Northcutt, Anish Athalye and Jonas Mueller | Paper | Code