Papers
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi et al.
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello, Thomas FEL, David Vigouroux
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong et al.
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Yixiong Zou, Shanghang Zhang, Yuhua Li et al.
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim, Jisu Oh, Jacob Gardner et al.
Markovian Interference in Experiments
Vivek Farias, Andrew Li, Tianyi Peng et al.
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Khoa D Doan, Yingjie Lao, Ping Li
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu, Zhizheng Zhang, Cuiling Lan et al.
Masked Autoencoders As Spatiotemporal Learners
Christoph Feichtenhofer, haoqi fan, Yanghao Li et al.
Masked Autoencoders that Listen
Po-Yao Huang, Hu Xu, Juncheng Li et al.
Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu, Hao Liu, Aditya Grover et al.
Masked Generative Adversarial Networks are Data-Efficient Generation Learners
Jiaxing Huang, Kaiwen Cui, Dayan Guan et al.
Masked Prediction: A Parameter Identifiability View
Bingbin Liu, Daniel J. Hsu, Pradeep K. Ravikumar et al.
Mask Matching Transformer for Few-Shot Segmentation
siyu jiao, Gengwei Zhang, Shant Navasardyan et al.
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning
Yao Lai, Yao Mu, Ping Luo
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari, Aliasghar Khani, Fereshte Khani et al.
Matching in Multi-arm Bandit with Collision
YiRui Zhang, Siwei Wang, Zhixuan Fang
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
Xuehai Pan, Mickel Liu, Fangwei Zhong et al.
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence
Rahul Jain, Georgios Piliouras, Ryann Sim
Matryoshka Representation Learning
Aditya Kusupati, Gantavya Bhatt, Aniket Rege et al.
MAtt: A Manifold Attention Network for EEG Decoding
Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
Parth Thaker, Mohit Malu, Nikhil Rao et al.
Maximizing Revenue under Market Shrinkage and Market Uncertainty
Maria-Florina F Balcan, Siddharth Prasad, Tuomas Sandholm
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
Eric Wu, Nora Brackbill, Alexander Sher et al.