Papers
11,951 papers found
Message Passing Neural PDE Solvers
Johannes Brandstetter, Daniel E. Worrall, Max Welling
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
Haoang Chi, Feng Liu, Wenjing Yang et al.
Meta-Imitation Learning by Watching Video Demonstrations
Jiayi Li, Tao Lu, Xiaoge Cao et al.
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee et al.
Meta-Learning with Fewer Tasks through Task Interpolation
Huaxiu Yao, Linjun Zhang, Chelsea Finn
MetaMorph: Learning Universal Controllers with Transformers
Agrim Gupta, Linxi Fan, Surya Ganguli et al.
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Yusong Wu, Ethan Manilow, Yi Deng et al.
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
Peihao Zhu, Rameen Abdal, John Femiani et al.
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun, Shashank Rajput, Suvrit Sra
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng, Jesse Michael Han, Stanislas Polu
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
Sitan Chen, Jerry Li, Yuanzhi Li et al.
Minimax Optimization with Smooth Algorithmic Adversaries
Tanner Fiez, Chi Jin, Praneeth Netrapalli et al.
Mirror Descent Policy Optimization
Manan Tomar, Lior Shani, Yonathan Efroni et al.
Missingness Bias in Model Debugging
Saachi Jain, Hadi Salman, Eric Wong et al.
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta, Mohammad Rastegari
Model Agnostic Interpretability for Multiple Instance Learning
Joseph Early, Christine Evers, SArvapali Ramchurn
Model-augmented Prioritized Experience Replay
Youngmin Oh, Jinwoo Shin, Eunho Yang et al.
Model-Based Offline Meta-Reinforcement Learning with Regularization
Sen Lin, Jialin Wan, Tengyu Xu et al.
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee et al.
Model Zoo: A Growing Brain That Learns Continually
Rahul Ramesh, Pratik Chaudhari
Modular Lifelong Reinforcement Learning via Neural Composition
Jorge A Mendez, Harm van Seijen, ERIC EATON
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
Zhiyu Chong, Xinzhu Ma, Hong Zhang et al.
Monotonic Differentiable Sorting Networks
Felix Petersen, Christian Borgelt, Hilde Kuehne et al.
MoReL: Multi-omics Relational Learning
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield et al.