Summary of Randomized Geometric Algebra Methods For Convex Neural Networks, by Yifei Wang et al.
Randomized Geometric Algebra Methods for Convex Neural Networksby Yifei Wang, Sungyoon Kim, Paul Chu, Indu…
Summary of Progressive Inference: Explaining Decoder-only Sequence Classification Models Using Intermediate Predictions, by Sanjay Kariyappa et al.
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictionsby Sanjay Kariyappa, Freddy Lécué, Saumitra…
Summary of Continuous Geometry-aware Graph Diffusion Via Hyperbolic Neural Pde, by Jiaxu Liu et al.
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDEby Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu…
Summary of Synergizing Unsupervised and Supervised Learning: a Hybrid Approach For Accurate Natural Language Task Modeling, by Wrick Talukdar et al.
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modelingby Wrick…
Summary of Stochastic Adversarial Networks For Multi-domain Text Classification, by Xu Wang and Yuan Wu
Stochastic Adversarial Networks for Multi-Domain Text Classificationby Xu Wang, Yuan WuFirst submitted to arxiv on:…
Summary of Fast Explanations Via Policy Gradient-optimized Explainer, by Deng Pan et al.
Fast Explanations via Policy Gradient-Optimized Explainerby Deng Pan, Nuno Moniz, Nitesh ChawlaFirst submitted to arxiv…
Summary of Watermarking Counterfactual Explanations, by Hangzhi Guo et al.
Watermarking Counterfactual Explanationsby Hangzhi Guo, Firdaus Ahmed Choudhury, Tinghua Chen, Amulya YadavFirst submitted to arxiv…
Summary of On the Noise Robustness Of In-context Learning For Text Generation, by Hongfu Gao et al.
On the Noise Robustness of In-Context Learning for Text Generationby Hongfu Gao, Feipeng Zhang, Wenyu…
Summary of Evaluating Large Language Models For Public Health Classification and Extraction Tasks, by Joshua Harris et al.
Evaluating Large Language Models for Public Health Classification and Extraction Tasksby Joshua Harris, Timothy Laurence,…
Summary of Explaining Black-box Model Predictions Via Two-level Nested Feature Attributions with Consistency Property, by Yuya Yoshikawa et al.
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Propertyby Yuya Yoshikawa, Masanari…