Uploaded December 2023 | Updated September 2026, 2 weeks ago
OUTLINE:
0:00 - Intro
0:20 - Graph of Circuits with GNN for Exploring the Optimal Design Space
15:20 - Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
22:11 - Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
28:30 - Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
Papers:
Graph of Circuits with GNN for Exploring the Optimal Design Space openreview.net/pdf?id=VNjJAWjuEU
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss arxiv.org/abs/2310.18700
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering arxiv.org/abs/2307.11030
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? arxiv.org/abs/2309.13038v2
Links:
Homepage: ykilcher.com
Merch: ykilcher.com/merch
YouTube: youtube.com/c/yannickilcher
Twitter: twitter.com/ykilcher
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If you want to support me, the best thing to do is to share out the content :)
If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: subscribestar.com/yannickilcher
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OUTLINE:
0:00 - Intro
0:20 - Graph of Circuits with GNN for Exploring the Optimal Design Space
15:20 - Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
22:11 - Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
28:30 - Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
Papers:
Graph of Circuits with GNN for Exploring the Optimal Design Space openreview.net/pdf?id=VNjJAWjuEU
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss arxiv.org/abs/2310.18700
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering arxiv.org/abs/2307.11030
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? arxiv.org/abs/2309.13038v2
Links:
Homepage: ykilcher.com
Merch: ykilcher.com/merch
YouTube: youtube.com/c/yannickilcher
Twitter: twitter.com/ykilcher
Discord: ykilcher.com/discord
LinkedIn: linkedin.com/in/ykilcher
If you want to support me, the best thing to do is to share out the content :)
If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: subscribestar.com/yannickilcher
Patreon: patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
