Search Results for author: Tony Z. Zhao

Found 4 papers, 2 papers with code

Calibrate Before Use: Improving Few-Shot Performance of Language Models

2 code implementations19 Feb 2021 Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh

We show that this type of few-shot learning can be unstable: the choice of prompt format, training examples, and even the order of the training examples can cause accuracy to vary from near chance to near state-of-the-art.

Few-Shot Learning

MELD: Meta-Reinforcement Learning from Images via Latent State Models

1 code implementation26 Oct 2020 Tony Z. Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine

Meta-reinforcement learning algorithms can enable autonomous agents, such as robots, to quickly acquire new behaviors by leveraging prior experience in a set of related training tasks.

Meta-Learning Meta Reinforcement Learning +1

Concealed Data Poisoning Attacks on NLP Models

no code implementations NAACL 2021 Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh

In this work, we develop a new data poisoning attack that allows an adversary to control model predictions whenever a desired trigger phrase is present in the input.

Data Poisoning Language Modelling +2

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