Summary of Stochastic Resetting Mitigates Latent Gradient Bias Of Sgd From Label Noise, by Youngkyoung Bae et al.
Stochastic Resetting Mitigates Latent Gradient Bias of SGD from Label Noiseby Youngkyoung Bae, Yeongwoo Song,…
Stochastic Resetting Mitigates Latent Gradient Bias of SGD from Label Noiseby Youngkyoung Bae, Yeongwoo Song,…
Dual-perspective Cross Contrastive Learning in Graph Transformersby Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen,…
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approachby Mazen Balat, Youssef Mohamed,…
How Random is Random? Evaluating the Randomness and Humaness of LLMs’ Coin Flipsby Katherine Van…
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Databy Zeyi Sun, Tong Wu, Pan Zhang, Yuhang…
Scalable Bayesian Learning with posteriorsby Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel SimpsonFirst…
Reward Machines for Deep RL in Noisy and Uncertain Environmentsby Andrew C. Li, Zizhao Chen,…
ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects…
Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignmentby Mark Lowell, Catharine…
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and Whenby Kevin…