2 citations · 3 across the 3 of their papers we have counts for
4 papers
HiResNets: Native Full-HD Video Recognition with Foveal Residual Streams
Shivani Mall, Swarnim Jain, Joao F. Henriques
Much of the recent progress in image and video recognition has come at the cost of memory: larger models, increased resolution, and longer temporal contexts. An inevitable componen…
CRAM: Large-scale Video Continual Learning with Bootstrapped Compression
Shivani Mall, Joao F. Henriques
Continual learning (CL) promises to allow neural networks to learn from continuous streams of inputs, instead of IID (independent and identically distributed) sampling, which requi…
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments
Shu Ishida, João F. Henriques
This work compares ways of extending Reinforcement Learning algorithms to Partially Observed Markov Decision Processes (POMDPs) with options. One view of options is as temporally e…
LangProp: A code optimization framework using Large Language Models applied to driving
Shu Ishida, Gianluca Corrado, George Fedoseev +5
We propose LangProp, a framework for iteratively optimizing code generated by large language models (LLMs), in both supervised and reinforcement learning settings. While LLMs can g…