activity
20192023
most citedSupervised Contrastive Learning

115 citations · 117 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2023★ 1 cited

The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits

Sepehr Assadi, Chen Wang

We give a near-optimal sample-pass trade-off for pure exploration in multi-armed bandits (MABs) via multi-pass streaming algorithms: any streaming algorithm with sublinear memory t…

cs.DS2023

Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance

Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng +2

Structural balance theory studies stability in networks. Given a -vertex complete graph whose edges are labeled positive or negative, the graph is considered \emph{bal…

cs.DS2022

Differentially Private Range Query on Shortest Paths

Chengyuan Deng, Jie Gao, Jalaj Upadhyay +1

We consider differentially private range queries on a graph where query ranges are defined as the set of edges on a shortest path of the graph. Edges in the graph carry sensitive a…

cs.DS2021

Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions

Sepehr Assadi, Chen Wang

We present a new approach for solving (minimum disagreement) correlation clustering that results in sublinear algorithms with highly efficient time and space complexity for this pr…

cs.LG2020

On the Global Self-attention Mechanism for Graph Convolutional Networks

Chen Wang, Chengyuan Deng

Applying Global Self-attention (GSA) mechanism over features has achieved remarkable success on Convolutional Neural Networks (CNNs). However, it is not clear if Graph Convolutiona…

cs.LG2020★ 115 cited

Supervised Contrastive Learning

Prannay Khosla, Piotr Teterwak, Chen Wang +6

Contrastive learning applied to self-supervised representation learning has seen a resurgence in recent years, leading to state of the art performance in the unsupervised training…