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deep dive
Unsolved ML safety problems
BAIR blog
26 Oct 2021
We provide a new roadmap for ML Safety and aim to refine the technical problems that the field needs to address.
Distilling neural networks into wavelet models using interpretations
BAIR blog
18 Oct 2021
We propose a method which distills information from a trained DNN into a wavelet transform.
What can I do here? Learning new skills by imagining visual affordances
BAIR blog
30 Sep 2021
Can we use an analogous strategy to a child learning in a robotic learning system?
The limitations of limited context for constituency parsing
ML@CMU
24 Sep 2021
We consider the representational power of two important frameworks for constituency parsing.
Strategic instrumental variable regression: recovering causal relationships from strategic responses
ML@CMU
08 Sep 2021
How can we infer causal relationships in data while employing a decision-making model?
Universal weakly supervised segmentation by pixel-to-segment contrastive learning
BAIR blog
17 Aug 2021
Can a machine learn from a few labeled pixels to predict every pixel in a new image?
A unifying, game-theoretic framework for imitation learning
ML@CMU
13 Aug 2021
In this post we explore imitation learning and consider online, offline, and interactive methods.
The surprising effectiveness of PPO in cooperative multi-agent games
BAIR blog
06 Aug 2021
A study of cooperative multi-agent tasks, in which a group of agents is trying to optimize a shared reward function.
