ICLR Papers

Multi-task Learning with 3D-Aware Regularization

Wei-Hong Li, Steven McDonagh, Ales Leonardis et al.

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Ahmed Hendawy, Jan Peters, Carlo D'Eramo

Multi-View Causal Representation Learning with Partial Observability

Dingling Yao, Danru Xu, Sébastien Lachapelle et al.

Multi-View Representation is What You Need for Point-Cloud Pre-Training

Siming Yan, Chen Song, Youkang Kong et al.

MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images

Xurui Li, Ziming Huang, Feng Xue et al.

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

Zayne Sprague, Xi Ye, Kaj Bostrom et al.

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

Yinya Huang, Xiaohan Lin, Zhengying Liu et al.

MVDream: Multi-view Diffusion for 3D Generation

Yichun Shi, Peng Wang, Jianglong Ye et al.

MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo

chenjie cao, xinlin ren, Yanwei Fu

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Kai Shen, Zeqian Ju, Xu Tan et al.

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace

Xinyu Yang, Victor Weixin Liang, James Y Zou

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

Shih-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao et al.

Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation

Tuan Le, Julian Cremer, Frank Noe et al.

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Joe Benton, Valentin De Bortoli, Arnaud Doucet et al.

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

Near-Optimal Solutions of Constrained Learning Problems

Juan Elenter, Luiz Chamon, Alejandro Ribeiro

NECO: NEural Collapse Based Out-of-distribution detection

Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu et al.

NEFTune: Noisy Embeddings Improve Instruction Finetuning

Neel Jain, Ping-yeh Chiang, Yuxin Wen et al.

Negative Label Guided OOD Detection with Pretrained Vision-Language Models

Xue JIANG, Feng Liu, Zhen Fang et al.

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation

Ziqi Wang, Chengpeng Hu, Jialin Liu et al.

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models

Shuai Fu, Shuai Fu, Xiequn Wang et al.

NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis

Dong Wei, Huaijiang Sun, Bin Li et al.

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Meng-Chieh Lee, Haiyang Yu, Jian Zhang et al.

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings

Edouard YVINEC, Arnaud Dapogny, Kevin Bailly

Neur2RO: Neural Two-Stage Robust Optimization

Justin Dumouchelle, Esther Julien, Jannis Kurtz et al.

Neural Active Learning Beyond Bandits

Neural Architecture Retrieval

Xiaohuan Pei, Yanxi Li, Minjing Dong et al.

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel

Xuan Li, Zhanke Zhou, Jiangchao Yao et al.

Neural Auto-designer for Enhanced Quantum Kernels

Cong Lei, Yuxuan Du, Peng Mi et al.

Neural Common Neighbor with Completion for Link Prediction

Xiyuan Wang, Haotong Yang, Muhan Zhang

Neural Contractive Dynamical Systems

Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis et al.

Neural Field Classifiers via Target Encoding and Classification Loss

Xindi Yang, Zeke Xie, Xiong Zhou et al.

Neural Fine-Tuning Search for Few-Shot Learning

Panagiotis Eustratiadis, Łukasz Dudziak, Da Li et al.

Neural Fourier Transform: A General Approach to Equivariant Representation Learning

Masanori Koyama, Kenji Fukumizu, Kohei Hayashi et al.

Neural Language of Thought Models

Yi-Fu Wu, Minseung Lee, Sungjin Ahn

Neural Monge Map estimation and its applications

Shaojun Ma, Yongxin Chen, Hao-Min Zhou et al.

Neural Neighborhood Search for Multi-agent Path Finding

Zhongxia Yan, Cathy Wu

Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization

Yinbin Han, Meisam Razaviyayn, Renyuan Xu

Neural Optimal Transport with General Cost Functionals

Arip Asadulaev, Alexander Korotin, Vage Egiazarian et al.

Neural Ordinary Differential Equations for Modeling Epidemic Spreading

Michalis Vazirgiannis, Chrysoula Kosma, George Panagopoulos et al.

Neural Polynomial Gabor Fields for Macro Motion Analysis

Chen Geng, Koven Yu, Sida Peng et al.

Neural Processing of Tri-Plane Hybrid Neural Fields

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini et al.

Neural Rate Control for Learned Video Compression

yiwei zhang, Guo Lu, Yunuo Chen et al.

Neural SDF Flow for 3D Reconstruction of Dynamic Scenes

wei mao, Richard Hartley, Mathieu Salzmann et al.

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries

Haitz Sáez de Ocáriz Borde, Anastasis Kratsios

Neural Spectral Methods: Self-supervised learning in the spectral domain

Yiheng Du, Nithin Chalapathi, Aditi Krishnapriyan

Neural structure learning with stochastic differential equations

Benjie Wang, Joel Jennings, Wenbo Gong

Neural-Symbolic Recursive Machine for Systematic Generalization

Qing Li, Yixin Zhu, Yitao Liang et al.

NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks

Wenxi Wang, Yang Hu, Mohit Tiwari et al.

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data

Antonis Antoniades, Yiyi Yu, Joe Canzano et al.