ICLR Papers
6,124 papers found • Page 104 of 123
Mirage: Model-agnostic Graph Distillation for Graph Classification
Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA et al.
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
Xiangchi Yuan, Chunhui Zhang, Yijun Tian et al.
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Fuxiao Liu, Kevin Lin, Linjie Li et al.
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia, Yi Yu, Jiang Xudong et al.
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen et al.
MixSATGEN: Learning Graph Mixing for SAT Instance Generation
Xinyan Chen, Yang Li, Runzhong Wang et al.
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
Yuxue Yang, Lue Fan, Zhaoxiang Zhang
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
Sheng Shen, Le Hou, Yanqi Zhou et al.
Mixture of LoRA Experts
xun wu, Shaohan Huang, Furu Wei
Mixture of Weak and Strong Experts on Graphs
Hanqing Zeng, Hanjia Lyu, Diyi Hu et al.
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
Yan Sun, Jicong Fan
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Haozhe Zhao, Zefan Cai, Shuzheng Si et al.
Modeling Boundedly Rational Agents with Latent Inference Budgets
Athul Jacob, Abhishek Gupta, Jacob Andreas
Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
Orren Karniol-Tambour, David Zoltowski, E. Mika Diamanti et al.
Modelling complex vector drawings with stroke-clouds
Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya et al.
Model Merging by Uncertainty-Based Gradient Matching
Nico Daheim, Thomas Möllenhoff, Edoardo M. Ponti et al.
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge, Yunan Zhang, Liyuan Liu et al.
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
DongHao Luo, Xue Wang
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
Aming Wu, Cheng Deng
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng, Yunhao Ni, Tengwei Song et al.
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Junjie Oscar Yin, Yingheng Wang, Volodymyr Kuleshov et al.
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
Xiang Fu, Tian Xie, Andrew Rosen et al.
MOFI: Learning Image Representations from Noisy Entity Annotated Images
Wentao Wu, Aleksei Timofeev, Chen Chen et al.
MogaNet: Multi-order Gated Aggregation Network
Siyuan Li, Zedong Wang, Zicheng Liu et al.
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Yin Fang, Xiaozhuan Liang, Ningyu Zhang et al.
Momentum Benefits Non-iid Federated Learning Simply and Provably
Ziheng Cheng, Xinmeng Huang, Pengfei Wu et al.
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
Gabriel Cardoso, Yazid Janati el idrissi, Sylvain Le Corff et al.
More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
James Simon, Dhruva Karkada, Nikhil Ghosh et al.
Most discriminative stimuli for functional cell type clustering
Max F. Burg, Thomas Zenkel, Michaela Vystrčilová et al.
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Martin Klissarov, Pierluca D'Oro, Shagun Sodhani et al.
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
Daniel Geng, Andrew Owens
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
Ethan Steinberg, Jason Fries, Yizhe Xu et al.
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang et al.
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
Renze Lou, Kai Zhang, Jian Xie et al.
Multi-granularity Correspondence Learning from Long-term Noisy Videos
Yijie Lin, Jie Zhang, Zhenyu Huang et al.
Multilinear Operator Networks
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos et al.
Multilingual Jailbreak Challenges in Large Language Models
Yue Deng, Wenxuan Zhang, Sinno Pan et al.
Multimarginal Generative Modeling with Stochastic Interpolants
Michael Albergo, Nicholas Boffi, Michael Lindsey et al.
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
Rabia Gondur, Usama Bin Sikandar, Evan Schaffer et al.
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Paul Liang, Chun Kai Ling, Yun Cheng et al.
Multimodal Molecular Pretraining via Modality Blending
Qiying Yu, Yudi Zhang, yuyan ni et al.
Multimodal Patient Representation Learning with Missing Modalities and Labels
Zhenbang Wu, Anant Dadu, Nicholas Tustison et al.
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum et al.
Multi-Resolution Diffusion Models for Time Series Forecasting
Lifeng Shen, Weiyu Chen, James Kwok
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction
Jiatong Shi, Hirofumi Inaguma, Xutai Ma et al.
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Yuchuan Tian, Hanting Chen, Xutao Wang et al.
Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
Haotian Yan, Ming Wu, Chuang Zhang
Multisize Dataset Condensation
Yang He, Lingao Xiao, Joey Tianyi Zhou et al.
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani, Irene Tallini, Emilian Postolache et al.