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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