We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...
fipical translation lookaside buffers (TLBs)can map a far smaller region of memory than application footprints demand, and the cost of handling TLB misses therefore limits the per...
Zhen Fang, Lixin Zhang, John B. Carter, Wilson C. ...
To provide high dependability in a multithreaded system despite hardware faults, the system must detect and correct errors in its shared memory system. Recent research has explore...