Papers
From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm
Alexander Nadel, Ron Wettenstein
Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech et al.
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng
Inference Offloading for Cost-Sensitive Binary Classification at the Edge
Vishnu Narayanan Moothedath, Umang Agarwal, Umeshraja N et al.
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
Hyung-Jun Moon, Sung-Bae Cho
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov, Daniil Medyakov, Sergey Skorik et al.
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling
Soheila Molaei, Bahareh Fatemi, Anshul Thakur et al.
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
Majid Mohammadi, Krikamol Muandet, Ilaria Tiddi et al.
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series
Erfan Moeini, Christopher Vox, Marie Anastacio et al.
Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm
Masahiro Mitani, Yuya Sasaki
T4NMTD: Transition-Centric Reinforcement Learning for Non-Markovian Task Decomposition
Ruixuan Miao, Xu Lu, Cong Tian et al.
Learning Branching Policies for MILPs with Proximal Policy Optimization
Abdelouahed Ben Mhamed, Assia Kamal Idrissi, Amal Seghrouchni
Online Linear Regression with Paid Stochastic Features
Nadav Merlis, Kyoungseok Jang, Nicolò Cesa-Bianchi
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
Lingyuan Meng, Ke Liang, Hao Yu et al.
Semantic-Aware Feature Enhancement for Partial Label Learning
Haowei Mei, Chao Zhang, Wentao Fan et al.
Self-Adaptive Graph Mixture of Models
Mohit Meena, Yash Punjabi, Abhishek A et al.
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
Joao Mattos, Debolina Halder Lina, Arlei Silva
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
Idriss Malek, Aya Laajil, Abhijith Sharma et al.
Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning
Yinchao Ma, Qiang Zhou, Zhibin Wang et al.
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
Xiaoxu Ma, Dong Li, Minglai Shao et al.
ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting
Xiang Ma, Taihua Chen, Pengcheng Wang et al.
Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment
Xiang Ma, Lexin Fang, Litian Xu et al.
C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Shusen Ma, Yunbo Zhao, Yu Kang
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Qianli Ma, Yaowei Zheng, Zhelun Shi et al.
Discovering Mixture Skills for Unsupervised Reinforcement Learning
Nelson Ma, Junyu Xuan, Guangquan Zhang et al.