Papers
Minimum Entropy Coupling with Bottleneck
M.Reza Ebrahimi, Jun Chen, Ashish Khisti
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
Kezheng Xiong, Haoen Xiang, Qingshan Xu et al.
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
Cheng Luo, Jiawei Zhao, Zhuoming Chen et al.
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Anas Awadalla, Le Xue, Oscar Lo et al.
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
Xuan Ju, Yiming Gao, Zhaoyang Zhang et al.
Mirror and Preconditioned Gradient Descent in Wasserstein Space
Clément Bonet, Théo Uscidda, Adam David et al.
MiSO: Optimizing brain stimulation to create neural population activity states
Yuki Minai, Joana Soldado-Magraner, Matthew A. Smith et al.
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Jingtong Su, Julia Kempe, Karen Ullrich
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
Abhipsa Basu, Saswat Subhajyoti Mallick, R. Venkatesh Babu
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
Seokin Seo, Byung-Jun Lee, Jongmin Lee et al.
Mitigating Object Hallucination via Concentric Causal Attention
Yun Xing, Yiheng Li, Ivan Laptev et al.
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
Cameron Allen, Aaron Kirtland, Ruo Yu Tao et al.
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
Xiaoying Zhang, Jean-François Ton, Wei Shen et al.
Mitigating Spurious Correlations via Disagreement Probability
Hyeonggeun Han, Sehwan Kim, Hyungjun Joo et al.
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
Zhenfeng Tu, Santiago Aranguri, Arthur Jacot
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
Jinjie Ni, Fuzhao Xue, Xiang Yue et al.
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning
Xu Yang, Chen Liu, Ying Wei
Mixture of Demonstrations for In-Context Learning
Song Wang, Zihan Chen, Chengshuai Shi et al.
Mixture of Experts Meets Prompt-Based Continual Learning
Minh Le, An Nguyen, Huy Nguyen et al.
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Hongzhan Lin, Ang Lv, Yuhan Chen et al.
Mixture of Link Predictors on Graphs
Li Ma, Haoyu Han, Juanhui Li et al.
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
Gagan Jain, Nidhi Hegde, Aditya Kusupati et al.
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Axel Levy, Rishwanth Raghu, David Shustin et al.
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
Dongwon Jo, Taesu Kim, Yulhwa Kim et al.