337 citations · 699 across the 35 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 337 cited
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti +3
We present CROSSGRAD, a method to use multi-domain training data to learn a classifier that generalizes to new domains. CROSSGRAD does not need an adaptation phase via labeled or u…
cs.LG2018★ 20 cited
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting
Srayanta Mukherjee, Devashish Shankar, Atin Ghosh +4
Accurate demand forecasts can help on-line retail organizations better plan their supply-chain processes. The challenge, however, is the large number of associative factors that re…