_id,doi,title
14410,10.1007/978-3-031-40773-4_6,"On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift"
14921,,Deep neural collapse is provably optimal for the deep unconstrained features model
15039,10.48550/ARXIV.2311.06103,1-Lipschitz neural networks are more expressive with N-activations
13053,,CrAM: A Compression-Aware Minimizer
10752,10.1109/bigdata52589.2021.9672003,Overcoming rare-language discrimination in multi-lingual sentiment analysis
10802,,Fairness-aware PAC learning from corrupted data
13241,,On the impossibility of fairness-aware learning from corrupted data
11839,10.1007/978-3-031-19803-8_21,Almost-orthogonal layers for efficient general-purpose Lipschitz networks
12161,10.1109/icpr56361.2022.9956195,Lightweight conditional model extrapolation for streaming data under class-prior shift
12495,,FLEA: Provably robust fair multisource learning from unreliable training data
12660,10.48550/arXiv.2210.06434,Cross-client Label Propagation for transductive federated learning
12662,10.48550/arXiv.2208.13499,Generalization in Multi-objective machine learning
10803,10.48550/arXiv.2102.05996,Fairness through regularization for learning to rank
14987,10.1007/978-3-030-63416-2_874,Zero-Shot Learning
9210,10.1007/978-3-030-71278-5_18,Does SGD implicitly optimize for smoothness?
9416,,The inductive bias of ReLU networks on orthogonally separable data
7936,10.1109/WACV45572.2020.9093288,Localizing grouped instances for efficient detection in low-resource scenarios
7937,10.1109/WACV45572.2020.9093635,A flexible selection scheme for minimum-effort transfer learning
8063,,"Object-centric image generation with factored depths, locations, and appearances"
8186,10.1109/CVPR42600.2020.00752,Leveraging 2D data to learn textured 3D mesh generation