RIML Lab

Compositional Learning Journal Club at RIML Lab 🔥

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.

For in-person communication, you may contact us via Telegram at @amirkasaei and @arashmarioriyad.

We look forward to your participation.

www.tg-me.com/jp/telegram/com.RIMLLab/129

4.5K viewsArash Marioriyad, Aug 29, 2024 at 18:26

Compositional Learning Journal Club at RIML Lab 🔥

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.

For in-person communication, you may contact us via Telegram at @amirkasaei and @arashmarioriyad.

We look forward to your participation.

BY RIML Lab