All Papers
34,598 papers found • Page 585 of 692
Conference
Minimal Perspective Autocalibration
Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri et al.
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods
Yuto Nishimura, Taiji Suzuki
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
Kaihong Zhang, Heqi Yin, Feng Liang et al.
Minimizing $f$-Divergences by Interpolating Velocity Fields
Song Liu, Jiahao Yu, Jack Simons et al.
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
Arrasy Rahman, Jiaxun Cui, Peter Stone
Minimum Norm Interpolation Meets The Local Theory of Banach Spaces
Gil Kur, Pedro Abdalla, Pierre Bizeul et al.
Minimum-Norm Interpolation Under Covariate Shift
Neil Mallinar, Austin Zane, Spencer Frei et al.
Minimum width for universal approximation using ReLU networks on compact domain
Namjun Kim, Chanho Min, Sejun Park
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
Longtian Qiu, Shan Ning, Xuming He
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
Authors: Zihao Zhao, Sheng Wang, Qian Wang et al.
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
Hoang Chuong Nguyen, Tianyu Wang, Jose M. Alvarez et al.
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians
Guangchi Fang, Bing Wang
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.
Mip-Splatting: Alias-free 3D Gaussian Splatting
Zehao Yu, Anpei Chen, Binbin Huang et al.
Mirage: Model-agnostic Graph Distillation for Graph Classification
Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA et al.
MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection
Haowen Sun, Yueqi Duan, Juncheng Yan et al.
Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
AJ Piergiovanni, Isaac Noble, Dahun Kim et al.
MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections
Jiayue Liu, Tang Xiao, Freeman Cheng et al.
Misalignment-Robust Frequency Distribution Loss for Image Transformation
Zhangkai Ni, Juncheng Wu, Zian Wang et al.
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment
Brian Gordon, Yonatan Bitton, Yonatan Shafir et al.
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
Taesup Kim, Donggeun Kim
Mitigating Background Shift in Class-Incremental Semantic Segmentation
gilhan Park, WonJun Moon, SuBeen Lee et al.
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
Yichen WU, Hong Wang, Peilin Zhao 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 Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension
Mingmin Wu, Yuxue Hu, Yongcheng Zhang et al.
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
Yixuan Zhang, Boyu Li, Zenan Ling et al.
Mitigating Label Noise on Graphs via Topological Sample Selection
Yuhao Wu, Jiangchao Yao, Xiaobo Xia et al.
Mitigating Label Noise through Data Ambiguation
Julian Lienen, Eyke Hüllermeier
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
Xinyan Guan, Yanjiang Liu, Hongyu Lin et al.
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
Marco Cannici, Davide Scaramuzza
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
Zihua Zhao, Mengxi Chen, Tianjie Dai et al.
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
Yanhao Wu, Tong Zhang, Wei Ke et al.
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen et al.
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
MoonJeong Park, Jaeseung Heo, Dongwoo Kim
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops
Aditya Prakash, Arjun Gupta, Saurabh Gupta
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu, Lei Feng, HUIPING ZHUANG et al.
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Song Xia, Yi Yu, Jiang Xudong et al.
Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization
Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
Zhao Tianchen, Xuefei Ning, Tongcheng Fang et al.
Mixed-Effects Contextual Bandits
Weiwei Xiao, Yongyong Chen, Qiben Shan et al.
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
Bin Shang, Yinliang Zhao, Jun Liu et al.
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
Huancheng Chen, Haris Vikalo
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 Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
Alireza Ganjdanesh, Yan Kang, Yuchen Liu et al.
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