Search Results for author:
Found 6 papers, 4 papers with code
Differentiable Model Scaling using Differentiable Topk
Specifically, for image classification on ImageNet, our DMS improves the top-1 accuracy of EfficientNet-B0 and Deit-Tiny by 1. 4% and 0. 6%, respectively, and outperforms the state-of-the-art zero-shot NAS method, ZiCo, by 1. 3% while requiring only 0. 4 GPU days for searching.
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
This paper introduces EasyJailbreak, a unified framework simplifying the construction and evaluation of jailbreak attacks against LLMs.
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
In the rapidly evolving landscape of Large Language Models (LLMs), ensuring robust safety measures is paramount.
Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data
We consider the estimation of Dirichlet Process Mixture Models (DPMMs) in distributed environments, where data are distributed across multiple computing nodes.
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Temporal and contextual information of videos are not fully investigated and utilized.
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
In the proposed new deep architecture, a new deformation constrained pooling (def-pooling) layer models the deformation of object parts with geometric constraint and penalty.
