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Accepted papers

• The Graph Cut Kernel for Ranked Data

  Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar, July 2022
  [openreview] [pdf] [bib] [code]

• NoiLin: Improving adversarial training and correcting stereotype of noisy labels

  Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama, June 2022
  [openreview] [pdf] [bib] [code]

• Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities

  Ziyi Chen, Yi Zhou, Rong-Rong Chen, June 2022
  [openreview] [pdf] [bib] [code]

• Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress

  Saket Gurukar, Priyesh Vijayan, srinivasan parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, June 2022
  [openreview] [pdf] [bib] [code]

• Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware

  Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos P. Michmizos, June 2022
  [openreview] [pdf] [bib] [code]

• Understanding Linearity of Cross-Lingual Word Embedding Mappings

  Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li, June 2022
  [openreview] [pdf] [bib] [code]

• Clustering units in neural networks: upstream vs downstream information

  Richard D Lange, David Rolnick, Konrad Kording, June 2022
  [openreview] [pdf] [bib] [code]

• TLDR: Twin Learning for Dimensionality Reduction

  Yannis Kalantidis, Carlos Eduardo Rosar Kos Lassance, Jon Almazán, Diane Larlus, June 2022
  [openreview] [pdf] [bib] [code]

• Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning

  Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang, June 2022
  [openreview] [pdf] [bib] [code]

• Boosting Search Engines with Interactive Agents

  Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain, June 2022
  [openreview] [pdf] [bib] [code]

• Greedy Bayesian Posterior Approximation with Deep Ensembles

  Aleksei Tiulpin, Matthew B. Blaschko, June 2022
  [openreview] [pdf] [bib] [code]

• How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

  Andreas Peter Steiner, Alexander Kolesnikov, Xiaohua Zhai, Ross Wightman, Jakob Uszkoreit, Lucas Beyer, June 2022
  [openreview] [pdf] [bib] [code]

• Auto-Lambda: Disentangling Dynamic Task Relationships

  Shikun Liu, Stephen James, Andrew Davison, Edward Johns, June 2022
  [openreview] [pdf] [bib] [code]

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