Summary of Accelerated Smoothing: a Scalable Approach to Randomized Smoothing, by Devansh Bhardwaj et al.
Accelerated Smoothing: A Scalable Approach to Randomized Smoothingby Devansh Bhardwaj, Kshitiz Kaushik, Sarthak GuptaFirst submitted…
Summary of One Train For Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning, by Haozhen Zhang et al.
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learningby Haozhen…
Summary of Clustertabnet: Supervised Clustering Method For Table Detection and Table Structure Recognition, by Marek Polewczyk and Marco Spinaci
ClusterTabNet: Supervised clustering method for table detection and table structure recognitionby Marek Polewczyk, Marco SpinaciFirst…
Summary of Training Heterogeneous Client Models Using Knowledge Distillation in Serverless Federated Learning, by Mohak Chadha et al.
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learningby Mohak Chadha, Pulkit Khera,…
Summary of Power Transformer Fault Prediction Based on Knowledge Graphs, by Chao Wang et al.
Power Transformer Fault Prediction Based on Knowledge Graphsby Chao Wang, Zhuo Chen, Ziyan Zhang, Chiyi…
Summary of Self-calibrating Conformal Prediction, by Lars Van Der Laan and Ahmed M. Alaa
Self-Calibrating Conformal Predictionby Lars van der Laan, Ahmed M. AlaaFirst submitted to arxiv on: 11…
Summary of Online Iterative Reinforcement Learning From Human Feedback with General Preference Model, by Chenlu Ye et al.
Online Iterative Reinforcement Learning from Human Feedback with General Preference Modelby Chenlu Ye, Wei Xiong,…
Summary of Bionerf: Biologically Plausible Neural Radiance Fields For View Synthesis, by Leandro A. Passos et al.
BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesisby Leandro A. Passos, Douglas Rodrigues, Danilo…
Summary of Odin: Disentangled Reward Mitigates Hacking in Rlhf, by Lichang Chen et al.
ODIN: Disentangled Reward Mitigates Hacking in RLHFby Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen,…
Summary of Towards Explainable, Safe Autonomous Driving with Language Embeddings For Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-world Data Sets, by Ross Greer and Mohan Trivedi
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework…