Papers
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
Jiho Choi, Seonho Lee, Seungho Lee et al.
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier et al.
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
Mingze Wang, Weinan E
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka et al.
Understanding the Gains from Repeated Self-Distillation
Divyansh Pareek, Simon S. Du, Sewoong Oh
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
Declan Campbell, Sunayana Rane, Tyler Giallanza et al.
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang, Kaiwen Hu, Sharut Gupta et al.
Understanding the Transferability of Representations via Task-Relatedness
Akshay Mehra, Yunbei Zhang, Jihun Hamm
Understanding Transformer Reasoning Capabilities via Graph Algorithms
Clayton Sanford, Bahare Fatemi, Ethan Hall et al.
Understanding Transformers via N-Gram Statistics
Timothy Nguyen
Understanding Visual Feature Reliance through the Lens of Complexity
Thomas Fel, Louis Béthune, Andrew Kyle Lampinen et al.
Unelicitable Backdoors via Cryptographic Transformer Circuits
Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani et al.
UniAR: A Unified model for predicting human Attention and Responses on visual content
Peizhao Li, Junfeng He, Gang Li et al.
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
Dongchao Yang, Haohan Guo, Yuanyuan Wang et al.
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
Haider Al-Tahan, Quentin Garrido, Randall Balestriero et al.
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
Hanzhang Zhou, Zijian Feng, Zixiao Zhu et al.
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
Yao Wu, Mingwei Xing, Yachao Zhang et al.
Unified Covariate Adjustment for Causal Inference
Yonghan Jung, Jin Tian, Elias Bareinboim
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
Gyusam Chang, Jiwon Lee, Donghyun Kim et al.
Unified Generative and Discriminative Training for Multi-modal Large Language Models
Wei Chow, Juncheng Li, Qifan Yu et al.
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Zhehao Huang, Xinwen Cheng, JingHao Zheng et al.
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
Jiaming Zhuo, Yintong Lu, Hui Ning et al.
Unified Guidance for Geometry-Conditioned Molecular Generation
Sirine Ayadi, Leon Hetzel, Johanna Sommer et al.