Papers
Min-Max Submodular Ranking for Multiple Agents
Qingyun Chen, Sungjin Im, Benjamin Moseley et al.
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
WonJun Moon, Hyun Seok Seong, Jae-Pil Heo
Misspecification in Inverse Reinforcement Learning
Joar Skalse, Alessandro Abate
Mitigating Adversarial Norm Training with Moral Axioms
Taylor Olson, Kenneth D. Forbus
Mitigating Artifacts in Real-World Video Super-resolution Models
Liangbin Xie, Xintao Wang, Shuwei Shi et al.
Mitigating Negative Style Transfer in Hybrid Dialogue System
Shimin Li, Qinyuan Cheng, Linyang Li et al.
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)
Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi et al.
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees
Yan Zuo, Vu Nguyen, Amir Dezfouli et al.
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Fu-En Wang, Chien-Yi Wang, Min Sun et al.
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
Gregory P. Spell, Simiao Ren, Leslie M. Collins et al.
Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning
Sunyuan Qiang, Jiayi Hou, Jun Wan et al.
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation
Yiming Cao, Lizhen Cui, Lei Zhang et al.
MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding
Meihuizi Jia, Lei Shen, Xin Shen et al.
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples
Darryl Hannan, Steven C. Nesbit, Ximing Wen et al.
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang et al.
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)
Jinyu Hong, Fan Zhou, Qiang Gao et al.
Model AI Assignments 2023
Todd W. Neller, Raechel Walker, Olivia Dias et al.
Model-Based Offline Reinforcement Learning with Local Misspecification
Kefan Dong, Yannis Flet-Berliac, Allen Nie et al.
Model-Based Offline Weighted Policy Optimization (Student Abstract)
Renzhe Zhou, Zongzhang Zhang, Yang Yu
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
Taehyun Hwang, Min-hwan Oh
Model-Checking for Ability-Based Logics with Constrained Plans
Stéphane Demri, Raul Fervari
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach
Zhuoyan Li, Zhuoran Lu, Ming Yin
Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract)
Maryam Alomair, Shimei Pan, Lujie Karen Chen
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
Zifan Wu, Chao Yu, Chen Chen et al.