Summary of Tabconv: Low-computation Cnn Inference Via Table Lookups, by Neelesh Gupta et al.
TabConv: Low-Computation CNN Inference via Table Lookupsby Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor PrasannaFirst…
Summary of Codeclm: Aligning Language Models with Tailored Synthetic Data, by Zifeng Wang et al.
CodecLM: Aligning Language Models with Tailored Synthetic Databy Zifeng Wang, Chun-Liang Li, Vincent Perot, Long…
Summary of Rapid and Precise Topological Comparison with Merge Tree Neural Networks, by Yu Qin et al.
Rapid and Precise Topological Comparison with Merge Tree Neural Networksby Yu Qin, Brittany Terese Fasy,…
Summary of Learning Heuristics For Transit Network Design and Improvement with Deep Reinforcement Learning, by Andrew Holliday et al.
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learningby Andrew Holliday, Ahmed…
Summary of Natural Learning, by Hadi Fanaee-t
Natural Learningby Hadi Fanaee-TFirst submitted to arxiv on: 8 Apr 2024CategoriesMain: Machine Learning (cs.LG)Secondary: Artificial…
Summary of Interpretability in Symbolic Regression: a Benchmark Of Explanatory Methods Using the Feynman Data Set, by Guilherme Seidyo Imai Aldeia and Fabricio Olivetti De Franca (federal University Of Abc)
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data setby Guilherme…
Summary of Deep Reinforcement Learning For Personalized Diagnostic Decision Pathways Using Electronic Health Records: a Comparative Study on Anemia and Systemic Lupus Erythematosus, by Lillian Muyama et al.
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study…
Summary of Adagossip: Adaptive Consensus Step-size For Decentralized Deep Learning with Communication Compression, by Sai Aparna Aketi et al.
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compressionby Sai Aparna Aketi, Abolfazl…
Summary of Neural Networks Can Be Flop-efficient Integrators Of 1d Oscillatory Integrands, by Anshuman Sinha and Spencer H. Bryngelson
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrandsby Anshuman Sinha, Spencer H. BryngelsonFirst…
Summary of Efficient Multi-task Reinforcement Learning Via Task-specific Action Correction, by Jinyuan Feng et al.
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correctionby Jinyuan Feng, Min Chen, Zhiqiang Pu, Tenghai…