Summary of Data Readiness For Ai: a 360-degree Survey, by Kaveen Hiniduma et al.
Data Readiness for AI: A 360-Degree Surveyby Kaveen Hiniduma, Suren Byna, Jean Luca BezFirst submitted…
Data Readiness for AI: A 360-Degree Surveyby Kaveen Hiniduma, Suren Byna, Jean Luca BezFirst submitted…
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Modelsby Bowen Pan, Yikang Shen, Haokun…
SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Expertsby Alexandre Muzio, Alex Sun, Churan HeFirst submitted…
LightFF: Lightweight Inference for Forward-Forward Algorithmby Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir AminifarFirst submitted…
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Expertsby Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun…
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rulesby Yi Zhang, Dongyuan Lu,…
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language…
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMby Wenxuan Zuo, Zifan…
Dynamic Switch Layers For Unsupervised Learningby Haiguang Li, Usama Pervaiz, MichaĆ Matuszak, Robert Kamara, Gilles…
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformerby Toru Shirakawa, Yi Li, Yulun Wu,…