activity
20192023
most citedHybrid RL: Using Both Offline and Online Data Can Make RL Efficient

7 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2023★ 1 cited

Test-Time Distribution Normalization for Contrastively Learned Vision-language Models

Yifei Zhou, Juntao Ren, Fengyu Li +2

Advances in the field of vision-language contrastive learning have made it possible for many downstream applications to be carried out efficiently and accurately by simply taking t…

cs.CL2022

Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA

Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou +1

Natural language is ambiguous. Resolving ambiguous questions is key to successfully answering them. Focusing on questions about images, we create a dataset of ambiguous examples. W…

cs.CV2022

: Backward-compatible Training with Basis Transformation

Yifei Zhou, Zilu Li, Abhinav Shrivastava +4

Modern retrieval system often requires recomputing the representation of every piece of data in the gallery when updating to a better representation model. This process is known as…

cs.CL2022

GAPX: Generalized Autoregressive Paraphrase-Identification X

Yifei Zhou, Renyu Li, Hayden Housen +1

Paraphrase Identification is a fundamental task in Natural Language Processing. While much progress has been made in the field, the performance of many state-of-the-art models ofte…

cs.LG2022★ 7 cited

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Yuda Song, Yifei Zhou, Ayush Sekhari +3

We consider a hybrid reinforcement learning setting (Hybrid RL), in which an agent has access to an offline dataset and the ability to collect experience via real-world online inte…

cs.CL2022

Improve Discourse Dependency Parsing with Contextualized Representations

Yifei Zhou, Yansong Feng

Recent works show that discourse analysis benefits from modeling intra- and inter-sentential levels separately, where proper representations for text units of different granulariti…

cs.CL2019

Chinese Named Entity Recognition Augmented with Lexicon Memory

Yi Zhou, Xiaoqing Zheng, Xuanjing Huang

Inspired by a concept of content-addressable retrieval from cognitive science, we propose a novel fragment-based model augmented with a lexicon-based memory for Chinese NER, in whi…