6 citations · 11 across the 4 of their papers we have counts for
4 papers
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
Clarence Lee, M Ganesh Kumar, Cheston Tan
State-of-the-art visual grounding models can achieve high detection accuracy, but they are not designed to distinguish between all objects versus only certain objects of interest.…
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Zijun Lin, Haidi Azaman, M Ganesh Kumar +1
Children can rapidly generalize compositionally-constructed rules to unseen test sets. On the other hand, deep reinforcement learning (RL) agents need to be trained over millions o…
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation
M Ganesh Kumar, Cheston Tan, Camilo Libedinsky +2
Navigation to multiple cued reward locations has been increasingly used to study rodent learning. Though deep reinforcement learning agents have been shown to be able to learn the…
One-shot learning of paired association navigation with biologically plausible schemas
M Ganesh Kumar, Cheston Tan, Camilo Libedinsky +2
After learning a multiple paired-association (MPA) navigation task, rodents can rapidly learn new cue-location associations after a single exposure, a phenomenon proposed to be fac…