Summary of Proximix: Enhancing Fairness with Proximity Samples in Subgroups, by Jingyu Hu et al.
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroupsby Jingyu Hu, Jun Hong, Mengnan Du, Weiru…
Summary of [re] Network Deconvolution, by Rochana R. Obadage et al.
[Re] Network Deconvolutionby Rochana R. Obadage, Kumushini Thennakoon, Sarah M. Rajtmajer, Jian WuFirst submitted to…
Summary of Fine-grained Gradient Restriction: a Simple Approach For Mitigating Catastrophic Forgetting, by Bo Liu et al.
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgettingby Bo Liu, Mao Ye, Peter…
Summary of Revisiting Essential and Nonessential Settings Of Evidential Deep Learning, by Mengyuan Chen et al.
Revisiting Essential and Nonessential Settings of Evidential Deep Learningby Mengyuan Chen, Junyu Gao, Changsheng XuFirst…
Summary of The Perfect Blend: Redefining Rlhf with Mixture Of Judges, by Tengyu Xu et al.
The Perfect Blend: Redefining RLHF with Mixture of Judgesby Tengyu Xu, Eryk Helenowski, Karthik Abinav…
Summary of Constraint Guided Model Quantization Of Neural Networks, by Quinten Van Baelen and Peter Karsmakers
Constraint Guided Model Quantization of Neural Networksby Quinten Van Baelen, Peter KarsmakersFirst submitted to arxiv…
Summary of Scaling Optimal Lr Across Token Horizons, by Johan Bjorck et al.
Scaling Optimal LR Across Token Horizonsby Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, Xia…
Summary of Spectral Wavelet Dropout: Regularization in the Wavelet Domain, by Rinor Cakaj et al.
Spectral Wavelet Dropout: Regularization in the Wavelet Domainby Rinor Cakaj, Jens Mehnert, Bin YangFirst submitted…
Summary of Arlbench: Flexible and Efficient Benchmarking For Hyperparameter Optimization in Reinforcement Learning, by Jannis Becktepe et al.
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learningby Jannis Becktepe, Julian Dierkes,…
Summary of Using Dynamic Loss Weighting to Boost Improvements in Forecast Stability, by Daan Caljon et al.
Using dynamic loss weighting to boost improvements in forecast stabilityby Daan Caljon, Jeff Vercauteren, Simon…