Papers
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.
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg, Robin Kothari, Praneeth Netrapalli et al.