36 citations · 72 across the 4 of their papers we have counts for
20 papers
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
Danielle Rothermel, Margaret Li, Tim Rocktäschel +1
Self-supervised pre-training of large-scale transformer models on text corpora followed by finetuning has achieved state-of-the-art on a number of natural language processing tasks…
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations
Kalesha Bullard, Franziska Meier, Douwe Kiela +2
Effective communication is an important skill for enabling information exchange and cooperation in multi-agent settings. Indeed, emergent communication is now a vibrant field of re…
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Dmitrii Beloborodov, A. E. Ulanov, Jakob N. Foerster +2
Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization. However, these algorithms may require careful hyperparameter tuni…
Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer, Hengyuan Hu, Jakob Foerster +1
Recent superhuman results in games have largely been achieved in a variety of zero-sum settings, such as Go and Poker, in which agents need to compete against others. However, just…
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Cinjon Resnick, Abhinav Gupta, Jakob Foerster +2
Many recent works have discussed the propensity, or lack thereof, for emergent languages to exhibit properties of natural languages. A favorite in the literature is learning compos…
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster +2
For AI systems to garner widespread public acceptance, we must develop methods capable of explaining the decisions of black-box models such as neural networks. In this work, we ide…