1.9k citations · 1.9k across the 5 of their papers we have counts for
5 papers
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Chenxin Tao, Xizhou Zhu, Weijie Su +6
Self-supervised learning (SSL) has delivered superior performance on a variety of downstream vision tasks. Two main-stream SSL frameworks have been proposed, i.e., Instance Discrim…
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Weiming Liu, Huacong Jiang, Bin Li +1
Follow-the-Regularized-Lead (FTRL) and Online Mirror Descent (OMD) are regret minimization algorithms for Online Convex Optimization (OCO), they are mathematically elegant but less…
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning
Weiming Liu, Bin Li, Julian Togelius
Counterfactual Regret Minimization (CFR) has achieved many fascinating results in solving large-scale Imperfect Information Games (IIGs). Neural network approximation CFR (neural C…
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu, Weijie Su, Lewei Lu +3
DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance. However, it suffers from slow conv…
Learn a Prior for RHEA for Better Online Planning
Xin Tong, Weiming Liu, Bin Li
Rolling Horizon Evolutionary Algorithms (RHEA) are a class of online planning methods for real-time game playing; their performance is closely related to the planning horizon and t…