We are pleased to announce the establishment of a new research group within RIML Lab, dedicated to the study and advancement of Compositional Learning.
Compositional learning is inspired by the inherent human ability to comprehend and generate complex ideas from simpler concepts. By enabling the recombination of learned components, compositional learning enhances a machine's ability to generalize to out-of-distribution samples encountered in real-world scenarios. This characteristic has spurred vibrant research in areas such as object-centric learning, compositional generalization, and compositional reasoning, with wide-ranging applications across various tasks, including controllable text generation, factual knowledge reasoning, image captioning, text-to-image generation, visual reasoning, speech processing, and reinforcement learning.
To promote collaboration and the exchange of knowledge, we are launching a weekly Journal Club. These sessions will be held every Sunday from 3:30 PM to 5:00 PM, where we will engage in discussions on the latest research papers and significant advancements in Compositional Learning.
For updates and additional information, please visit our blog: complearnjc.github.io.
We are pleased to announce the establishment of a new research group within RIML Lab, dedicated to the study and advancement of Compositional Learning.
Compositional learning is inspired by the inherent human ability to comprehend and generate complex ideas from simpler concepts. By enabling the recombination of learned components, compositional learning enhances a machine's ability to generalize to out-of-distribution samples encountered in real-world scenarios. This characteristic has spurred vibrant research in areas such as object-centric learning, compositional generalization, and compositional reasoning, with wide-ranging applications across various tasks, including controllable text generation, factual knowledge reasoning, image captioning, text-to-image generation, visual reasoning, speech processing, and reinforcement learning.
To promote collaboration and the exchange of knowledge, we are launching a weekly Journal Club. These sessions will be held every Sunday from 3:30 PM to 5:00 PM, where we will engage in discussions on the latest research papers and significant advancements in Compositional Learning.
For updates and additional information, please visit our blog: complearnjc.github.io.
The SSE was the first modern stock exchange to open in China, with trading commencing in 1990. It has now grown to become the largest stock exchange in Asia and the third-largest in the world by market capitalization, which stood at RMB 50.6 trillion (US$7.8 trillion) as of September 2021. Stocks (both A-shares and B-shares), bonds, funds, and derivatives are traded on the exchange. The SEE has two trading boards, the Main Board and the Science and Technology Innovation Board, the latter more commonly known as the STAR Market. The Main Board mainly hosts large, well-established Chinese companies and lists both A-shares and B-shares.
Telegram hopes to raise $1bn with a convertible bond private placement
The super secure UAE-based Telegram messenger service, developed by Russian-born software icon Pavel Durov, is looking to raise $1bn through a bond placement to a limited number of investors from Russia, Europe, Asia and the Middle East, the Kommersant daily reported citing unnamed sources on February 18, 2021.The issue reportedly comprises exchange bonds that could be converted into equity in the messaging service that is currently 100% owned by Durov and his brother Nikolai.Kommersant reports that the price of the conversion would be at a 10% discount to a potential IPO should it happen within five years.The minimum bond placement is said to be set at $50mn, but could be lowered to $10mn. Five-year bonds could carry an annual coupon of 7-8%.
