Join us this week for an in-depth discussion on Data Unlearning in Deep generative models in the context of cutting-edge generative models. We will explore recent breakthroughs and challenges, focusing on how these models handle unlearning tasks and where improvements can be made.
🌀 Abstract: Diffusion models have been shown to memorize and reproduce training data, raising legal and ethical concerns regarding data privacy and copyright compliance. While retraining these models from scratch to remove specific data is computationally costly, existing unlearning methods often rely on strong assumptions or exhibit instability. To address these limitations, we introduce a new family of loss functions called Subtracted Importance Sampled Scores (SISS). SISS leverages importance sampling to provide the first method for data unlearning in diffusion models with theoretical guarantees.
Join us this week for an in-depth discussion on Data Unlearning in Deep generative models in the context of cutting-edge generative models. We will explore recent breakthroughs and challenges, focusing on how these models handle unlearning tasks and where improvements can be made.
🌀 Abstract: Diffusion models have been shown to memorize and reproduce training data, raising legal and ethical concerns regarding data privacy and copyright compliance. While retraining these models from scratch to remove specific data is computationally costly, existing unlearning methods often rely on strong assumptions or exhibit instability. To address these limitations, we introduce a new family of loss functions called Subtracted Importance Sampled Scores (SISS). SISS leverages importance sampling to provide the first method for data unlearning in diffusion models with theoretical guarantees.
Start with a fresh view of investing strategy. The combination of risks and fads this quarter looks to be topping. That means the future is ready to move in.Likely, there will not be a wholesale shift. Company actions will aim to benefit from economic growth, inflationary pressures and a return of market-determined interest rates. In turn, all of that should drive the stock market and investment returns higher.
Spiking bond yields driving sharp losses in tech stocks
A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year.
A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.
