Summary of Seqnas: Neural Architecture Search For Event Sequence Classification, by Igor Udovichenko et al.
SeqNAS: Neural Architecture Search for Event Sequence Classificationby Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry…
SeqNAS: Neural Architecture Search for Event Sequence Classificationby Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry…
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyondby Thanh Nguyen-Tang, Raman AroraFirst…
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Energy-efficient Decentralized Learning via Graph Sparsificationby Xusheng Zhang, Cho-Chun Chiu, Ting HeFirst submitted to arxiv…
Fairness-Aware Job Scheduling for Multi-Job Federated Learningby Yuxin Shi, Han YuFirst submitted to arxiv on:…
DeepSeek LLM: Scaling Open-Source Language Models with Longtermismby DeepSeek-AI, Xiao Bi, Deli Chen, Guanting Chen,…
Improving sample efficiency of high dimensional Bayesian optimization with MCMCby Zeji Yi, Yunyue Wei, Chu…
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernelby Jinhang Chai,…
Image-based Deep Learning for Smart Digital Twins: a Reviewby Md Ruman Islam, Mahadevan Subramaniam, Pei-Chi…
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approachby Ruijie Du, Deepan Muthirayan,…