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]
© TMLR 2022. |