Chen Lin

Secure Top-k Inner Product Retrieval

2018

Secure top-k inner product retrieval allows the users to outsource encrypted data vectors to a cloud server and at some later time find the k vectors producing largest inner products giving an encrypted query vector. …

Graph Inductive Biases in Transformers without Message Passing

2023 · arXiv (Cornell University)

Transformers for graph data are increasingly widely studied and successful in numerous learning tasks. Graph inductive biases are crucial for Graph Transformers, and previous works incorporate them using message-passing modules and/or positional encodings. However, Graph …

It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models

2023 · arXiv (Cornell University)

Classical wisdom in machine learning holds that the generalization error can be decomposed into bias and variance, and these two terms exhibit a \emph{trade-off}. However, in this paper, we show that for an ensemble of …

Neural Temporal Relation Extraction

2017

Dmitriy Dligach, Timothy Miller, Chen Lin, Steven Bethard, Guergana Savova. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers. 2017.