67 citations · 129 across the 22 of their papers we have counts for
3 papers · 1 filter
Excitation Backprop for RNNs
Sarah Adel Bargal, Andrea Zunino, Donghyun Kim +3
Deep models are state-of-the-art for many vision tasks including video action recognition and video captioning. Models are trained to caption or classify activity in videos, but li…
Hashing as Tie-Aware Learning to Rank
Kun He, Fatih Cakir, Sarah Adel Bargal +1
Hashing, or learning binary embeddings of data, is frequently used in nearest neighbor retrieval. In this paper, we develop learning to rank formulations for hashing, aimed at dire…
MIHash: Online Hashing with Mutual Information
Fatih Cakir, Kun He, Sarah Adel Bargal +1
Learning-based hashing methods are widely used for nearest neighbor retrieval, and recently, online hashing methods have demonstrated good performance-complexity trade-offs by lear…