Papers
Multiclass Boosting and the Cost of Weak Learning
Nataly Brukhim, Elad Hazan, Shay Moran et al.
Multiclass versus Binary Differentially Private PAC Learning
Satchit Sivakumar, Mark Bun, Marco Gaboardi
Multi-Facet Clustering Variational Autoencoders
Fabian Falck, Haoting Zhang, Matthew Willetts et al.
Multi-Label Learning with Pairwise Relevance Ordering
Ming-Kun Xie, Sheng-Jun Huang
Multilingual Pre-training with Universal Dependency Learning
Kailai Sun, Zuchao Li, Hai Zhao
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
Paul-Ambroise Duquenne, Hongyu Gong, Holger Schwenk
Multi-modal Dependency Tree for Video Captioning
Wentian Zhao, Xinxiao Wu, Jiebo Luo
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi et al.
Multimodal Virtual Point 3D Detection
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Multi-Objective Meta Learning
Feiyang YE, Baijiong Lin, Zhixiong Yue et al.
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
harsh satija, Philip S. Thomas, Joelle Pineau et al.
Multi-Person 3D Motion Prediction with Multi-Range Transformers
Jiashun Wang, Huazhe Xu, Medhini Narasimhan et al.
Multiple Descent: Design Your Own Generalization Curve
Lin Chen, Yifei Min, Mikhail Belkin et al.
Multi-Scale Representation Learning on Proteins
Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
Raul Astudillo, Daniel Jiang, Maximilian Balandat et al.
Multi-task Learning of Order-Consistent Causal Graphs
Xinshi Chen, Haoran Sun, Caleb Ellington et al.
Multi-view Contrastive Graph Clustering
ErLin Pan, Zhao Kang
Multi-View Representation Learning via Total Correlation Objective
HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong et al.
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
NAS-Bench-x11 and the Power of Learning Curves
Shen Yan, Colin White, Yash Savani et al.
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao, Kristopher Jensen, Gido van de Ven et al.
Navigating to the Best Policy in Markov Decision Processes
Aymen Al Marjani, Aurélien Garivier, Alexandre Proutiere
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren, Jialian Li, Bo Dai et al.
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
Jiafan He, Dongruo Zhou, Quanquan Gu
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
Buddhima Gamlath, Xinrui Jia, Adam Polak et al.