Summary of Scaling Laws For Discriminative Classification in Large Language Models, by Dean Wyatte et al.
Scaling Laws for Discriminative Classification in Large Language Modelsby Dean Wyatte, Fatemeh Tahmasbi, Ming Li,…
Summary of Semantic Objective Functions: a Distribution-aware Method For Adding Logical Constraints in Deep Learning, by Miguel Angel Mendez-lucero et al.
Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learningby Miguel Angel…
Summary of Canonical Variates in Wasserstein Metric Space, by Jia Li and Lin Lin
Canonical Variates in Wasserstein Metric Spaceby Jia Li, Lin LinFirst submitted to arxiv on: 24…
Summary of Causalconceptts: Causal Attributions For Time Series Classification Using High Fidelity Diffusion Models, by Juan Miguel Lopez Alcaraz et al.
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Modelsby Juan Miguel Lopez…
Summary of Chatgpt Code Detection: Techniques For Uncovering the Source Of Code, by Marc Oedingen et al.
ChatGPT Code Detection: Techniques for Uncovering the Source of Codeby Marc Oedingen, Raphael C. Engelhardt,…
Summary of Rethinking Independent Cross-entropy Loss For Graph-structured Data, by Rui Miao et al.
Rethinking Independent Cross-Entropy Loss For Graph-Structured Databy Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu,…
Summary of Smoothed Online Classification Can Be Harder Than Batch Classification, by Vinod Raman et al.
Smoothed Online Classification can be Harder than Batch Classificationby Vinod Raman, Unique Subedi, Ambuj TewariFirst…
Summary of Encoder Embedding For General Graph and Node Classification, by Cencheng Shen
Encoder Embedding for General Graph and Node Classificationby Cencheng ShenFirst submitted to arxiv on: 24…
Summary of Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks, by Jialin Zhao et al.
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networksby Jialin Zhao, Yingtao Zhang,…
Summary of Multi-feature Fusion and Compressed Bi-lstm For Memory-efficient Heartbeat Classification on Wearable Devices, by Reza Nikandish et al.
Multi-Feature Fusion and Compressed Bi-LSTM for Memory-Efficient Heartbeat Classification on Wearable Devicesby Reza Nikandish, Jiayu…