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