Search Results for author: Yann Dubois

Found 11 papers, 9 papers with code

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

1 code implementation25 Sep 2023 Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

Alongside the emulator, we develop an LM-based automatic safety evaluator that examines agent failures and quantifies associated risks.

Language Modelling Test +1

Evaluating Self-Supervised Learning via Risk Decomposition

1 code implementation6 Feb 2023 Yann Dubois, Tatsunori Hashimoto, Percy Liang

Our decomposition consists of four error components: approximation, representation usability, probe generalization, and encoder generalization.

Representation Learning Self-Supervised Learning

Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning

no code implementations15 Jul 2022 Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

The development of CLIP [Radford et al., 2021] has sparked a debate on whether language supervision can result in vision models with more transferable representations than traditional image-only methods.

Descriptive Representation Learning

Optimal Representations for Covariate Shift

2 code implementations ICLR 2022 Yangjun Ruan, Yann Dubois, Chris J. Maddison

Machine learning systems often experience a distribution shift between training and testing.

Ranked #37 on Image Classification on ObjectNet (using extra training data)

Domain Generalization Image Classification +1

Location Attention for Extrapolation to Longer Sequences

no code implementations ACL 2020 Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni

We hypothesize that models with a separate content- and location-based attention are more likely to extrapolate than those with common attention mechanisms.


Convolutional Conditional Neural Processes

3 code implementations ICLR 2020 Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner

We introduce the Convolutional Conditional Neural Process (ConvCNP), a new member of the Neural Process family that models translation equivariance in the data.

Inductive Bias Time Series +2

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