Papers
Generalized Beliefs for Cooperative AI
Darius Muglich, Luisa M Zintgraf, Christian A Schroeder De Witt et al.
Generalized Data Distribution Iteration
Jiajun Fan, Changnan Xiao
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu, Xingyu Li, Rui Duan et al.
Generalized Leverage Scores: Geometric Interpretation and Applications
Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong, Alessandro Rinaldo
Generalized Strategic Classification and the Case of Aligned Incentives
Sagi Levanon, Nir Rosenfeld
Generalizing Gaussian Smoothing for Random Search
Katelyn Gao, Ozan Sener
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Tiexin Qin, Shiqi Wang, Haoliang Li
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Matthieu Kirchmeyer, Yuan Yin, Jeremie Dona et al.
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea et al.
Generating 3D Molecules for Target Protein Binding
Meng Liu, Youzhi Luo, Kanji Uchino et al.
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Yigitcan Kaya, Muhammad Bilal Zafar, Sergul Aydore et al.
Generative Coarse-Graining of Molecular Conformations
Wujie Wang, Minkai Xu, Chen Cai et al.
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier, Thomas Scialom, Antoine Chaffin et al.
Generative Flow Networks for Discrete Probabilistic Modeling
Dinghuai Zhang, Nikolay Malkin, Zhen Liu et al.
Generative Modeling for Multi-task Visual Learning
Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Generative Trees: Adversarial and Copycat
Richard Nock, Mathieu Guillame-Bert
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinksy, Ibrahim Jubran, Dan Feldman
GenLabel: Mixup Relabeling using Generative Models
Jy-Yong Sohn, Liang Shang, Hongxu Chen et al.
Geometric Multimodal Contrastive Representation Learning
Petra Poklukar, Miguel Vasco, Hang Yin et al.
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du, Yanping Huang, Andrew M Dai et al.
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh et al.
Global Optimization Networks
Sen Zhao, Erez Louidor, Maya Gupta
Global Optimization of K-Center Clustering
Mingfei Shi, Kaixun Hua, Jiayang Ren et al.
G-Mixup: Graph Data Augmentation for Graph Classification
Xiaotian Han, Zhimeng Jiang, Ninghao Liu et al.