Summary of Pcotta: Continual Test-time Adaptation For Multi-task Point Cloud Understanding, by Jincen Jiang et al.
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understandingby Jincen Jiang, Qianyu Zhou, Yuhang Li,…
Summary of Label Noise: Ignorance Is Bliss, by Yilun Zhu et al.
Label Noise: Ignorance Is Blissby Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton ScottFirst submitted to…
Summary of A Review Of Graph-powered Data Quality Applications For Iot Monitoring Sensor Networks, by Pau Ferrer-cid et al.
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networksby Pau Ferrer-Cid, Jose…
Summary of Transferable Post-training Via Inverse Value Learning, by Xinyu Lu et al.
Transferable Post-training via Inverse Value Learningby Xinyu Lu, Xueru Wen, Yaojie Lu, Bowen Yu, Hongyu…
Summary of Tripcast: Pre-training Of Masked 2d Transformers For Trip Time Series Forecasting, by Yuhua Liao et al.
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecastingby Yuhua Liao, Zetian Wang,…
Summary of Iterative Self-tuning Llms For Enhanced Jailbreaking Capabilities, by Chung-en Sun et al.
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilitiesby Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng,…
Summary of Peas: a Strategy For Crafting Transferable Adversarial Examples, by Bar Avraham and Yisroel Mirsky
PEAS: A Strategy for Crafting Transferable Adversarial Examplesby Bar Avraham, Yisroel MirskyFirst submitted to arxiv…
Summary of Faster-gcg: Efficient Discrete Optimization Jailbreak Attacks Against Aligned Large Language Models, by Xiao Li et al.
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Modelsby Xiao Li, Zhuhong Li,…
Summary of Less Is More: Parameter-efficient Selection Of Intermediate Tasks For Transfer Learning, by David Schulte et al.
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learningby David Schulte, Felix Hamborg,…
Summary of On the Regularization Of Learnable Embeddings For Time Series Forecasting, by Luca Butera et al.
On the Regularization of Learnable Embeddings for Time Series Forecastingby Luca Butera, Giovanni De Felice,…