Papers
33 papers found
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings et al.
Global Optimality in Bivariate Gradient-based DAG Learning
Chang Deng, Kevin Bello, Pradeep K. Ravikumar et al.
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
Di Luo, Jiayu Shen, Rumen Dangovski et al.
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
Mateusz Olko, Michał Zając, Aleksandra Nowak et al.
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen, Neel Jain, John Kirchenbauer et al.
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
JunHoo Lee, Jayeon Yoo, Nojun Kwak
Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki et al.
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen, Junjie Li, Xiaoyang Qu et al.
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition
Yaqiao Dai, Renjiao Yi, Chenyang Zhu et al.
Gradient-Based Graph Attention for Scene Text Image Super-resolution
Xiangyuan Zhu, Kehua Guo, Hui Fang et al.
Gradient-based Intra-attention Pruning on Pre-trained Language Models
Ziqing Yang, Yiming Cui, Xin Yao et al.
Generalizing Backpropagation for Gradient-Based Interpretability
Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr et al.
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning
Hyeonmin Ha, Soyoung Jung, Jinsol Park et al.
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
Lifan Yuan, YiChi Zhang, Yangyi Chen et al.
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods
Rustem Takhanov, Maxat Tezekbayev, Artur Pak et al.
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari et al.
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations
Ziyan Yang, Kushal Kafle, Franck Dernoncourt et al.
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
Hanjing Wang, Dhiraj Joshi, Shiqiang Wang et al.
Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation
Dan He, Minh-Quang Pham, Thanh-Le Ha et al.
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
Mingyang Wang, Heike Adel, Lukas Lange et al.
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li, Xiangru Lin, Wei Zhang et al.
A Skeletonization Algorithm for Gradient-Based Optimization
Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer et al.
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Yu Duan, Zhongfan Jia, Qian Li et al.