Oceania
Human-AI Collaborative Bayesian Optimisation
Arun Kumar A V, Santu Rana, Alistair Shilton, Svetha Venkatesh, Applied Artificial Intelligence Institute (A2I2), Deakin University, Waurn Ponds, Geelong, Australia, {aanjanapuravenk,santu.rana,alistair.shilton,, svetha.venkatesh}@deakin.edu.au
Human-AI collaboration looks at harnessing the complementary strengths of both humans and AI.
Intra Order-Preserving Functions for Calibration of Multi-Class Neural Networks
We call this family of functions intra order-preserving functions. We propose a new neural network architecture that represents a class of intra order-preserving functions by combining common neural network components.
67496dfa96afddab795530cc7c69b57a-Supplemental-Conference.pdf
Theoptimalbaseline, however, israrelyusedinpractice (Sutton & Barto (2018); foran exception, see (Peters & Schaal, 2008)). Equation (1) thentakesthefollowingform: r E R(x)= E (R(x) B)r log (x).
On Reinforcement Learningand Distribution Matchingfor Fine-Tuning Language Models withno Catastrophic Forgetting
Twoofthemcanbecharacterizedas "Reward Maximization" (RM): Standard Policy Gradients (PG) and KL-control.
Inherently Explainable Reinforcement Learning in Natural Language
Observation: Up a tree Beside you on the branch is a small birds nest In the birds nest is a large egg encrusted with precious jewels, scavenged by a childless songbird... Explanation: I am in the Forest Path now.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.