6 papers
Word2vec Conjecture and A Limitative Result
Falcon Z. Dai
Being inspired by the success of \texttt{word2vec} \citep{mikolov2013distributed} in capturing analogies, we study the conjecture that analogical relations can be represented by ve…
Loop Estimator for Discounted Values in Markov Reward Processes
Falcon Z. Dai, Matthew R. Walter
At the working heart of policy iteration algorithms commonly used and studied in the discounted setting of reinforcement learning, the policy evaluation step estimates the value of…
DIODE: A Dense Indoor and Outdoor DEpth Dataset
Igor Vasiljevic, Nick Kolkin, Shanyi Zhang +8
We introduce DIODE, a dataset that contains thousands of diverse high resolution color images with accurate, dense, long-range depth measurements. DIODE (Dense Indoor/Outdoor DEpth…
Towards Near-imperceptible Steganographic Text
Falcon Z. Dai, Zheng Cai
We show that the imperceptibility of several existing linguistic steganographic systems (Fang et al., 2017; Yang et al., 2018) relies on implicit assumptions on statistical behavio…
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
Falcon Z. Dai, Matthew R. Walter
We propose a new complexity measure for Markov decision processes (MDPs), the maximum expected hitting cost (MEHC). This measure tightens the closely related notion of diameter [JO…
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder +1
Learning to generate fluent natural language from structured data with neural networks has become an common approach for NLG. This problem can be challenging when the form of the s…