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Reverse Engineering Self-Supervised Learning
Self-supervised learning (SSL) is a powerful tool in machine learning, but understanding the learned representations and their underlying mechanisms remains a challenge.
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
In online advertising, for instance, the user's profile is the context, the
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
We present ComSL, a speech-language model built atop a composite architecture of public pretrained speech-only and language-only models and optimized data-efficiently for spoken language tasks.
ProteinShake Building datasets and benchmarks for deep learning on protein structures
However, the heterogeneity of protein data constitutes a problem for reproducible machine learning.
Fairness A ware Counterfactuals for Subgroups
Machine learning is now an integral part of decision-making processes across various domains, e.g., medical applications [
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
We release all the benchmark, making it more efficient and friendly to researchers.
Appendices of On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Step 2. The deduction in Step 1 can be iterated repeatedly due to the symmetry of