Summary of Semi-supervised Risk Control Via Prediction-powered Inference, by Bat-sheva Einbinder et al.
Semi-Supervised Risk Control via Prediction-Powered Inferenceby Bat-Sheva Einbinder, Liran Ringel, Yaniv RomanoFirst submitted to arxiv…
Summary of Linked Adapters: Linking Past and Future to Present For Effective Continual Learning, by Dupati Srikar Chandra et al.
Linked Adapters: Linking Past and Future to Present for Effective Continual Learningby Dupati Srikar Chandra,…
Summary of Alore: Efficient Visual Adaptation Via Aggregating Low Rank Experts, by Sinan Du et al.
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Expertsby Sinan Du, Guosheng Zhang, Keyao Wang,…
Summary of Wasserstein Distance Rivals Kullback-leibler Divergence For Knowledge Distillation, by Jiaming Lv et al.
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillationby Jiaming Lv, Haoyuan Yang, Peihua LiFirst submitted…
Summary of Quantum-cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-making Simulations, by Milan Maksimovic and Ivan S. Maksymov
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulationsby Milan Maksimovic, Ivan S.…
Summary of Rate-in: Information-driven Adaptive Dropout Rates For Improved Inference-time Uncertainty Estimation, by Tal Zeevi et al.
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimationby Tal Zeevi, Ravid Shwartz-Ziv, Yann…
Summary of Impact Of Privacy Parameters on Deep Learning Models For Image Classification, by Basanta Chaulagain
Impact of Privacy Parameters on Deep Learning Models for Image Classificationby Basanta ChaulagainFirst submitted to…
Summary of Convolution Goes Higher-order: a Biologically Inspired Mechanism Empowers Image Classification, by Simone Azeglio et al.
Convolution goes higher-order: a biologically inspired mechanism empowers image classificationby Simone Azeglio, Olivier Marre, Peter…
Summary of Hyperspectral Image Spectral-spatial Feature Extraction Via Tensor Principal Component Analysis, by Yuemei Ren et al.
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysisby Yuemei Ren, Liang Liao, Stephen…
Summary of Sparse Autoencoders Reveal Selective Remapping Of Visual Concepts During Adaptation, by Hyesu Lim et al.
Sparse autoencoders reveal selective remapping of visual concepts during adaptationby Hyesu Lim, Jinho Choi, Jaegul…