ICLR Papers
6,124 papers found • Page 103 of 123
Massive Editing for Large Language Models via Meta Learning
Chenmien Tan, Ge Zhang, Jie Fu
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver Lange et al.
Mastering Memory Tasks with World Models
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran et al.
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng, Minjun Zhu, Fei Xia et al.
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
Yang Liu, Muzhi Zhu, Hengtao Li et al.
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Ke Wang, Houxing Ren, Aojun Zhou et al.
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy et al.
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia et al.
Matrix Manifold Neural Networks++
Xuan Son Nguyen, Yang, Aymeric Histace
Matryoshka Diffusion Models
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang et al.
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Jiarong Liu, Yifan Zhong, Siyi Hu et al.
Maximum Entropy Model Correction in Reinforcement Learning
Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh et al.
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
Jiawei Ge, Shange Tang, Jianqing Fan et al.
Mayfly: a Neural Data Structure for Graph Stream Summarization
yuan feng, Yukun Cao, Hairu Wang et al.
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Mara Finkelstein, Markus Freitag
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou et al.
Mean Field Theory in Deep Metric Learning
Takuya Furusawa
Meaning Representations from Trajectories in Autoregressive Models
Tian Yu Liu, Matthew Trager, Alessandro Achille et al.
Measuring Vision-Language STEM Skills of Neural Models
Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan et al.
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana et al.
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
Brian Zhang, Gabriele Farina, Tuomas Sandholm
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
Ziyue Jiang, Jinglin Liu, Yi Ren et al.
Memorization Capacity of Multi-Head Attention in Transformers
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic et al.
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
Yuxiang (YU-HSIANG) LAI, Yi Zhou, Xinghong Liu et al.
Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
Yichuan Li, Xiyao Ma, Sixing Lu et al.
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
Pingzhi Li, Zhenyu Zhang, Prateek Yadav et al.
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi Li, Ruibin Yuan, Ge Zhang et al.
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang, Haoxuan Li, Fei Wu et al.
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
Yichen Wu, Long-Kai Huang, Renzhen Wang et al.
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
Xingyu Liu, Deepak Pathak, DING ZHAO
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen et al.
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
Shicheng Liu, Minghui Zhu
Meta-Learning Priors Using Unrolled Proximal Networks
Yilang Zhang, Georgios B Giannakis
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Longhui Yu, Weisen JIANG, Han Shi et al.
MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli, Muhammad Alam, Bruno Ribeiro
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
Yue Huang, Jiawen Shi, Yuan Li et al.
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park, Oleh Rybkin, Sergey Levine
MgNO: Efficient Parameterization of Linear Operators via Multigrid
Juncai He, Xinliang Liu, Jinchao Xu
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang XU et al.
MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese, Mustapha BOUNOUA, Pietro Michiardi
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning
Congpei Qiu, Tong Zhang, Yanhao Wu et al.
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu, jun chen, Xiaoqian Shen et al.
MiniLLM: Knowledge Distillation of Large Language Models
Yuxian Gu, Li Dong, Furu Wei et al.
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods
Yuto Nishimura, Taiji Suzuki
Minimum width for universal approximation using ReLU networks on compact domain
Namjun Kim, Chanho Min, Sejun Park
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang, Zihan Wang, Jiateng Liu et al.
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
Hanlei Zhang, Xin Wang, Hua Xu et al.