Papers
Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-Covers
Sejun Park, Umut Simsekli, Murat A Erdogdu
Generalization for multiclass classification with overparameterized linear models
Vignesh Subramanian, Rahul Arya, Anant Sahai
Generalization Gap in Amortized Inference
Mingtian Zhang, Peter Hayes, David Barber
Generalization Properties of NAS under Activation and Skip Connection Search
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos et al.
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
Jiaqi Yang, De-Chuan Zhan
Generalized Laplacian Eigenmaps
Hao Zhu, Piotr Koniusz
Generalized One-shot Domain Adaptation of Generative Adversarial Networks
Zicheng Zhang, Yinglu Liu, Congying Han et al.
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
Veit David Wild, Robert Hu, Dino Sejdinovic
Generalizing Bayesian Optimization with Decision-theoretic Entropies
Willie Neiswanger, Lantao Yu, Shengjia Zhao et al.
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
Yuzhou Cao, Tianchi Cai, Lei Feng et al.
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Wenhao Ding, Haohong Lin, Bo Li et al.
Generating Long Videos of Dynamic Scenes
Tim Brooks, Janne Hellsten, Miika Aittala et al.
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Ali Seyfi, Jean-Francois Rajotte, Raymond Ng
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng, Jiaxin Huang, Yu Zhang et al.
Generative multitask learning mitigates target-causing confounding
Taro Makino, Krzysztof Geras, Kyunghyun Cho
Generative Neural Articulated Radiance Fields
Alexander Bergman, Petr Kellnhofer, Wang Yifan et al.
Generative Status Estimation and Information Decoupling for Image Rain Removal
Di Lin, Xin WANG, Jia Shen et al.
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li, Xinjiang Lu, Yaqing Wang et al.
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu, Saman Motamed, Shaunak Srivastava et al.
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck, Siddhartha Mishra
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
Rongjie Huang, Yi Ren, Jinglin Liu et al.
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
Gene Chou, Ilya Chugunov, Felix Heide