NeurIPS 2023 Workshop ReALML Submissions

Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita
Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Vinayak
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Active Model Selection: A Variance Minimization Approach
Mitsuru Matsuura, Satoshi Hara
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning
Tom Blau, Iadine Chades, Amir Dezfouli, Daniel M Steinberg, Edwin V. Bonilla
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Exploratory Training: When Annotators Learn About Data
Rajesh Shrestha, Omeed Habibelahian, Arash Termehchy, Paolo Papotti
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Multi-Fidelity Active Learning with GFlowNets
Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
William Bankes, George Hughes, Ilija Bogunovic, Zi Wang
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
Tom Savage, Antonio Del rio chanona
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
Marc Schachtsiek, Simone Rossi, Thomas Hannagan
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Pure Exploration under Mediators’ Feedback
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Data-driven Prior Learning for Bayesian Optimisation
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Correlated Trajectory Uncertainty for Adaptive Sequential Decision Making
Ian Char, Youngseog Chung, Rohan Shah, Willie Neiswanger, Jeff Schneider
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Transferable Candidate Proposal with Bounded Uncertainty
Kyeongryeol Go, Kye-Hyeon Kim
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Efficient and scalable reinforcement learning via Hypermodel
Yingru Li, Jiawei Xu, Zhi-Quan Luo
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Long-run Behaviour of Multi-fidelity Bayesian Optimisation
Gbetondji Jean-Sebastien Dovonon, Jakob Zeitler
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Towards Scalable Identification of Brick Kilns from Satellite Imagery with Active Learning
Aditi Agarwal, Suraj Jaiswal, Madhav Kanda, Dhruv Patel, Rishabh Mondal, Vannsh Jani, Zeel B Patel, Nipun Batra, Sarath Guttikunda
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
CircuitVAE: Efficient and Scalable Latent Circuit Optimization
Jialin Song, Aidan Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
On Complex Network Dynamics of an In-Vitro Neuronal System during Rest and Gameplay
Moein Khajehnejad, Forough Habibollahi, Alon Loeffler, Brett Joseph Kagan, Adeel Razi
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone
Near-equivalence between bounded regret and delay robustness in interactive decision making
Enoch H. Kang, Panganamala Kumar
- Published: 27 Oct 2023, Last Modified: 22 Dec 2023
- RealML-2023
- Readers: Everyone