This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Sr...
For functional programs, unboxing aggregate data structures such as tuples removes memory indirections and frees dead components of the decoupled structures. To explore the consequ...
The growing speed gap between memory and processor makes an efficient use of the cache ever more important to reach high performance. One of the most important ways to improve cac...
d Abstract) Naoshi Tabuchi Eijiro Sumii Akinori Yonezawa 1 Department of Computer Science, Graduate School of Information Science and Technology, University of Tokyo We present re...
Many modern program verifiers translate the program to be verified and its specification into a simple intermediate representation and then compute verification conditions on ...