Papers
11,955 papers found
Multi-domain image generation and translation with identifiability guarantees
Shaoan Xie, Lingjing Kong, Mingming Gong et al.
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman, Ilan Naiman, Omri Azencot
Multi-level Protein Structure Pre-training via Prompt Learning
Zeyuan Wang, Qiang Zhang, Shuang-Wei HU et al.
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang et al.
Multimodal Analogical Reasoning over Knowledge Graphs
Ningyu Zhang, Lei Li, Xiang Chen et al.
Multimodal Federated Learning via Contrastive Representation Ensemble
Qiying Yu, Yang Liu, Yimu Wang et al.
Multi-Objective Online Learning
Jiyan Jiang, Wenpeng Zhang, Shiji Zhou et al.
Multi-objective optimization via equivariant deep hypervolume approximation
Jim Boelrijk, Bernd Ensing, Patrick Forré
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
Haoye Lu, Daniel Herman, Yaoliang Yu
Multiple sequence alignment as a sequence-to-sequence learning problem
Edo Dotan, Yonatan Belinkov, Oren Avram et al.
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Juhan Bae, Michael R. Zhang, Michael Ruan et al.
Multi-skill Mobile Manipulation for Object Rearrangement
Jiayuan Gu, Devendra Singh Chaplot, Hao Su et al.
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Zhen Wang, Rameswar Panda, Leonid Karlinsky et al.
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju, Tong Zhao, Qianlong Wen et al.
Multivariate Time-series Imputation with Disentangled Temporal Representations
SHUAI LIU, Xiucheng Li, Gao Cong et al.
MultiViz: Towards Visualizing and Understanding Multimodal Models
Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani et al.
Mutual Partial Label Learning with Competitive Label Noise
Yan Yan, Yuhong Guo
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Jinsong Chen, Kaiyuan Gao, Gaichao Li et al.
NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis
Hyeong-Seok Choi, Jinhyeok Yang, Juheon Lee et al.
NCDL: A Framework for Deep Learning on non-Cartesian Lattices
Joshua Horacsek, Usman Alim
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
Wei Xiong, Han Zhong, Chengshuai Shi et al.
Near-Optimal Adversarial Reinforcement Learning with Switching Costs
Ming Shi, Yingbin Liang, Ness Shroff
Near-optimal Coresets for Robust Clustering
Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou et al.
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li, Viraj Mehta, Johannes Kirschner et al.