27 citations · 29 across the 5 of their papers we have counts for
5 papers
The Platonic Representation Hypothesis
Minyoung Huh, Brian Cheung, Tongzhou Wang +1
We argue that representations in AI models, particularly deep networks, are converging. First, we survey many examples of convergence in the literature: over time and across multip…
Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning
Kaiyou Song, Shan Zhang, Zihao An +3
In contrastive self-supervised learning, the common way to learn discriminative representation is to pull different augmented "views" of the same image closer while pushing all oth…
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang, Phillip Isola
Asymmetrical distance structures (quasimetrics) are ubiquitous in our lives and are gaining more attention in machine learning applications. Imposing such quasimetric structures in…
On the Learning and Learnability of Quasimetrics
Tongzhou Wang, Phillip Isola
Our world is full of asymmetries. Gravity and wind can make reaching a place easier than coming back. Social artifacts such as genealogy charts and citation graphs are inherently d…
Learning to See by Looking at Noise
Manel Baradad, Jonas Wulff, Tongzhou Wang +2
Current vision systems are trained on huge datasets, and these datasets come with costs: curation is expensive, they inherit human biases, and there are concerns over privacy and u…