929 citations · 1.3k across the 24 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2023★ 1 cited
Improving Entropy-Based Test-Time Adaptation from a Clustering View
Guoliang Lin, Hanjiang Lai, Yan Pan +1
Domain shift is a common problem in the realistic world, where training data and test data follow different data distributions. To deal with this problem, fully test-time adaptatio…
cs.AI2022★ 1 cited
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
Wangzhen Guo, Qinkang Gong, Hanjiang Lai
Multi-hop QA requires reasoning over multiple supporting facts to answer the question. However, the existing QA models always rely on shortcuts, e.g., providing the true answer by…
cs.AI2019★ 1 cited
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Runsheng Yu, Zhenyu Shi, Xinrun Wang +5
Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative environment under thecen-tralized t…