Papers
11,955 papers found
Understanding Zero-shot Adversarial Robustness for Large-Scale Models
Chengzhi Mao, Scott Geng, Junfeng Yang et al.
Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An, Jiankang Deng, Kaicheng Yang et al.
UNICORN: A Unified Backdoor Trigger Inversion Framework
Zhenting Wang, Kai Mei, Juan Zhai et al.
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
Zonghan Yang, Xiaoyuan Yi, Peng Li et al.
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui Hu, Chuanxia Zheng, Zuopeng Yang et al.
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
Jiasen Lu, Christopher Clark, Rowan Zellers et al.
Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
Taiji Suzuki, Atsushi Nitanda, Denny Wu
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Jinhao Jiang, Kun Zhou, Xin Zhao et al.
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
Hyung Won Chung, Xavier Garcia, Adam Roberts et al.
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao, Qiankun Ding et al.
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Donggyun Kim, Jinwoo Kim, Seongwoong Cho et al.
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv et al.
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul, Feng Chen, Brett W. Larsen et al.
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay
Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
Haoyu Peter Wang, Pan Li
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
Dexiong Chen, Bowen Fan, Carlos Oliver et al.
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang, Hankook Lee, Jinwoo Shin
Unsupervised Model Selection for Time Series Anomaly Detection
Mononito Goswami, Cristian Ignacio Challu, Laurent Callot et al.
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk, Matthaeus Kleindessner, Yi Zhu et al.
Unsupervised visualization of image datasets using contrastive learning
Niklas Böhm, Philipp Berens, Dmitry Kobak
Unveiling the sampling density in non-uniform geometric graphs
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann et al.
User-Interactive Offline Reinforcement Learning
Phillip Swazinna, Steffen Udluft, Thomas Runkler
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu, Ray Mooney
Using Language to Extend to Unseen Domains
Lisa Dunlap, Clara Mohri, Devin Guillory et al.
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Ce Liu, Suryansh Kumar, Shuhang Gu et al.