Papers
Type-to-Track: Retrieve Any Object via Prompt-based Tracking
Pha Nguyen, Kha Gia Quach, Kris Kitani et al.
UDC-SIT: A Real-World Dataset for Under-Display Cameras
Kyusu Ahn, Byeonghyun Ko, HyunGyu Lee et al.
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
Jiaming Gu, Minchao Jiang, Hongsheng Li et al.
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
Yuyuan Li, Chaochao Chen, Yizhao Zhang et al.
Unbalanced Low-rank Optimal Transport Solvers
Meyer Scetbon, Michal Klein, Giovanni Palla et al.
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
Yutong He, Xinmeng Huang, Kun Yuan
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo
Maxence Noble, Valentin De Bortoli, Alain Durmus
Unbiased learning of deep generative models with structured discrete representations
Henry C Bendekgey, Gabe Hope, Erik B. Sudderth
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval
Xiaoshuai Hao, Wanqian Zhang
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
Xiaoying Zhang, Junpu Chen, Hongning Wang et al.
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Hongzheng Yang, Cheng Chen, Yueyao CHEN et al.
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Kexin Huang, Ying Jin, Emmanuel Candes et al.
Uncertainty Quantification via Neural Posterior Principal Components
Elias Nehme, Omer Yair, Tomer Michaeli
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
Uncovering and Quantifying Social Biases in Code Generation
Yan Liu, Xiaokang Chen, Yan Gao et al.
Uncovering Meanings of Embeddings via Partial Orthogonality
Yibo Jiang, Bryon Aragam, Victor Veitch
Uncovering motifs of concurrent signaling across multiple neuronal populations
Evren Gokcen, Anna Jasper, Alison Xu et al.
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang et al.
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
Fei Zhang, Tianfei Zhou, Boyang Li et al.
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Pritam Sarkar, Ahmad Beirami, Ali Etemad
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
Hongyu Zang, Xin Li, Leiji Zhang et al.
Understanding and Improving Ensemble Adversarial Defense
Yian Deng, Tingting Mu
Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Yongqiang Chen, Wei Huang, Kaiwen Zhou et al.