2025 Papers
21,856 papers found • Page 411 of 438
Understanding the difficulties of posterior predictive estimation
Abhinav Agrawal, Justin Domke
Understanding the Emergence of Multimodal Representation Alignment
Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin et al.
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
Kaiqi Jiang, Jeremy Cohen, Yuanzhi Li
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
Hongyi Wan, Shiyuan Ren, Wei Huang et al.
Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
Divyansh Pareek, Sewoong Oh, Simon Du
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
Xingxuan Zhang, Haoran Wang, Jiansheng Li et al.
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
Xuan Tang, Han Zhang, Yuan Cao et al.
Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra
Raphael Meyer, William Swartworth, David Woodruff
Understanding the Limits of Deep Tabular Methods with Temporal Shift
Haorun Cai, Han-Jia Ye
Understanding the Logic of Direct Preference Alignment through Logic
Kyle Richardson, Vivek Srikumar, Ashish Sabharwal
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Aviv Bick, Eric Xing, Albert Gu
Understanding the Stability-based Generalization of Personalized Federated Learning
Yingqi Liu, Qinglun Li, Jie Tan et al.
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu, Zelin He, Ying Sun et al.
Understanding the Unfairness in Network Quantization
Bing Liu, wenjun Miao, Boyu Zhang et al.
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Joshua Southern, Francesco Di Giovanni, Michael Bronstein et al.
Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View
Kaiyue Wen, Zhiyuan Li, Jason Wang et al.
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin et al.
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
Xiaotian Qiao, Ke Xu, Xianglong Yang et al.
Underwater Visual SLAM with Depth Uncertainty and Medium Modeling
Rui Liu, Sheng Fan, Wenguan Wang et al.
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
HaoMiao Liu, Hao Xu, Chuhuai Yue et al.
Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models
Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran et al.
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou, Fereshteh Shakeri, Aymen Sadraoui et al.
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan et al.
Unfolding-Associative Encoder-Decoder Network with Progressive Alignment for Pansharpening
Shijie Fang, Hongping Gan
Unfolding the Black Box of Recurrent Neural Networks for Path Integration
Tianhao Chu, Yuling Wu, Neil Burgess et al.
Unhackable Temporal Reward for Scalable Video MLLMs
En Yu, Kangheng Lin, Liang Zhao et al.
UnHiPPO: Uncertainty-aware Initialization for State Space Models
Marten Lienen, Abdullah Saydemir, Stephan Günnemann
Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
Yubin Wang, Zhikang Zou, Xiaoqing Ye et al.
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
David Yifan Yao, Albert J. Zhai, Shenlong Wang
UNIALIGN: Scaling Multimodal Alignment within One Unified Model
bo zhou, Liulei Li, Yujia Wang et al.
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
Hao Lin, Ke Wu, Jie Li et al.
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
Lunhao Duan, Shanshan Zhao, Wenjun Yan et al.
UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.
UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery
Dianmo Sheng, Dongdong Chen, Zhentao Tan et al.
UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer
Haoxuan Wang, Jinlong Peng, Qingdong He et al.
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Fanghua Yu, Jinjin Gu, Jinfan Hu et al.
UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale
Yuhao Wang, Wei Xi
UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP
Wenzheng Pan, Hao Xiong, Jiale Ma et al.
UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation
Xianwei Zhuang, Zhihong Zhu, Zhichang Wang et al.
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
Ruichuan An, Sihan Yang, Renrui Zhang et al.
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
Kaizhen Zhu, Mokai Pan, Yuexin Ma et al.
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
Zemin Yang, Yujing Sun, Xidong Peng et al.
UniDet3D: Multi-dataset Indoor 3D Object Detection
Maksim Kolodiazhnyi, Anna Vorontsova, Matvey Skripkin et al.
UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation
Huimin LU, Masaru Isonuma, Junichiro Mori et al.
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Haoming Ye, Yunxiao Xiao, Cewu Lu et al.
UniDrive: Towards Universal Driving Perception Across Camera Configurations
Ye Li, Wenzhao Zheng, Xiaonan Huang et al.
UniDxMD: Towards Unified Representation for Cross-Modal Unsupervised Domain Adaptation in 3D Semantic Segmentation
Zhengyin Liang, Hui Yin, Min Liang et al.
UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models
Qizhou Chen, Dakan Wang, Taolin Zhang et al.
UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and Generation
Chaitanya Patel, Hiroki Nakamura, Yuta Kyuragi et al.