Papers
11,015 papers found
Minimalistic Predictions for Online Class Constraint Scheduling
Dorian Guyot, Alexandra Anna Lassota
Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
Theo Bourdais, Houman Owhadi
Minimax Optimal Reinforcement Learning with Quasi-Optimism
Harin Lee, Min-hwan Oh
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
Zhen Zhang, Xin Liu, Shaoli Wang et al.
Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
Mingxin Huang, Yuliang Liu, Dingkang Liang et al.
Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha, Shiqi Yang, Masato Ishii et al.
MiniPLM: Knowledge Distillation for Pre-training Language Models
Yuxian Gu, Hao Zhou, Fandong Meng et al.
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
Jingyang Zhang, Jingwei Sun, Eric Yeats et al.
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction
Hossein Resani, Behrooz Nasihatkon
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li, Pengfei Cao, Zhuoran Jin et al.
(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Yalei Du, Lin Yang, Ruosong Wang
Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
Sedigheh Eslami, Gerard de Melo
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
Sascha Marton, Tim Grams, Florian Vogt et al.
Mitigating Memorization in Language Models
Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan et al.
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
Guanyu Zhou, Yibo Yan, Xin Zou et al.
Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad et al.
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee, Jinwook Jung, Sungyong Baik
Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
Juntao Dai, Taiye Chen, Yaodong Yang et al.
Mitigating Spurious Correlations in Zero-Shot Multimodal Models
Shenyu Lu, Junyi Chai, Xiaoqian Wang
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang, Anke Tang, Didi Zhu et al.
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang, Junyi Li, Xin Zhao et al.
MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
Jinjie Ni, Yifan Song, Deepanway Ghosal et al.
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
Pengxiang Li, Lu Yin, Shiwei Liu
MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
Anvith Thudi, Chris J. Maddison