Papers
11,955 papers found
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang, Hoang Anh Just, Yifan Sun et al.
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
Senmao Li, Joost van de Weijer, taihang Hu et al.
Ghost on the Shell: An Expressive Representation of General 3D Shapes
Zhen Liu, Yao Feng, Yuliang Xiu et al.
GIM: Learning Generalizable Image Matcher From Internet Videos
Xuelun Shen, zhipeng cai, Wei Yin et al.
GIO: Gradient Information Optimization for Training Dataset Selection
Dante Everaert, Christopher Potts
Global Optimality for Non-linear Constrained Restoration Problems via Invexity
Samuel Pinilla, Jeyan Thiyagalingam
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko et al.
GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
LI Yang, RUIZHENG WU, Jiyong Li et al.
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Xiaoqi Wang, Han Wei Shen
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
zaishuo xia, Han Yang, Binghui Wang et al.
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
Mert Kosan, Samidha Verma, Burouj Armgaan et al.
GOAt: Explaining Graph Neural Networks via Graph Output Attribution
Shengyao Lu, Keith G. Mills, Jiao He et al.
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning
Animesh Karnewar, Roman Shapovalov, Tom Monnier et al.
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Yiting Chen, Zhanpeng Zhou, Junchi Yan
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri et al.
Goodhart's Law in Reinforcement Learning
Jacek Karwowski, Oliver Hayman, Xingjian Bai et al.
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
Xuangeng Chu, Yu Li, Ailing Zeng et al.
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang et al.
Gradual Domain Adaptation via Gradient Flow
Zhan Zhuang, Yu Zhang, Ying Wei
Gradual Optimization Learning for Conformational Energy Minimization
Artem Tsypin, Leonid Anatolievich Ugadiarov, Kuzma Khrabrov et al.
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
Sascha Marton, Stefan Lüdtke, Christian Bartelt et al.
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
Katerina Hlaváčková-Schindler, Anna Melnykova, Irene Tubikanec
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Giovanni De Felice, Andrea Cini, Daniele Zambon et al.
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Pengcheng Jiang, Cao Xiao, Adam Richard Cross et al.
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
Peter Müller, Lukas Faber, Karolis Martinkus et al.