All Papers
34,598 papers found • Page 678 of 692
Conference
Understanding prompt engineering may not require rethinking generalization
Victor Akinwande, Yiding Jiang, Dylan Sam et al.
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang et al.
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Noel Loo, Ramin Hasani, Mathias Lechner et al.
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming, Sharon Li
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
Haibo Yang, Peiwen Qiu, Prashant Khanduri et al.
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu, Jacob Gardner
Understanding the Effects of Iterative Prompting on Truthfulness
Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis et al.
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal et al.
Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
Masaaki Nishino, Kengo Nakamura, Norihito Yasuda
Understanding the Learning Dynamics of Alignment with Human Feedback
Shawn Im, Sharon Li
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue, Siddharth Joshi, Dang Nguyen et al.
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
Hung Quang Nguyen, Yingjie Lao, Tung Pham et al.
Understanding the Role of the Projector in Knowledge Distillation
Understanding the Training Speedup from Sampling with Approximate Losses
Rudrajit Das, Xi Chen, Bertram Ieong et al.
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Zixiang Chen, Yihe Deng, Yuanzhi Li et al.
Understanding Unimodal Bias in Multimodal Deep Linear Networks
Yedi Zhang, Peter Latham, Andrew Saxe
Understanding Video Transformers via Universal Concept Discovery
Matthew Kowal, Achal Dave, Rares Andrei Ambrus et al.
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
Nicholas Corrado, Josiah Hanna
Underwater Organism Color Fine-Tuning via Decomposition and Guidance
Xiaofeng Cong, Jie Gui, Junming Hou
Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation
Ziyun Wang, Jinyuan Guo, Kostas Daniilidis
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
Eunsu Baek, Keondo Park, Ji-yoon Kim et al.
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
Gengrui Zhang, Xiaoshuang Chen, Yao WANG et al.
Ungeneralizable Examples
Jingwen Ye, Xinchao Wang
Uni3D: Exploring Unified 3D Representation at Scale
Junsheng Zhou, Jinsheng Wang, Baorui Ma et al.
Uni3DL: A Unified Model for 3D Vision-Language Understanding
Xiang Li, Jian Ding, Zhaoyang Chen et al.
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
Haoyu Lu, Yuqi Huo, Guoxing Yang et al.
UniADS: Universal Architecture
Distiller Search for Distillation Gap
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning
Meiqi Sun, Zhonghan Zhao, Wenhao Chai et al.
UniAudio: Towards Universal Audio Generation with Large Language Models
Dongchao Yang, Jinchuan Tian, Xu Tan et al.
UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou et al.
UniCal: Unified Neural Sensor Calibration
Ze Yang, George G Chen, Haowei Zhang et al.
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
Chenpeng Du, Yiwei Guo, Feiyu Shen et al.
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang, Haofeng Li, Xiang Wan et al.
UniCode : Learning a Unified Codebook for Multimodal Large Language Models
Sipeng Zheng, Bohan Zhou, Yicheng Feng et al.
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
Shikun Feng, Yuyan Ni, Li et al.
UNIC: Universal Classification Models via Multi-teacher Distillation
Yannis Kalantidis, Larlus Diane, Mert Bulent SARIYILDIZ et al.
UniDepth: Universal Monocular Metric Depth Estimation
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis et al.
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation
Zexiang Liu, Yangguang Li, Youtian Lin et al.
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
Hao Fang, Peng Wu, Yawei Li et al.
Unified Entropy Optimization for Open-Set Test-Time Adaptation
Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu, Yu Wang, Zeyu Feng et al.
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
Yuxuan Song, Jingjing Gong, Hao Zhou et al.
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Zeqi Xiao, Tai Wang, Jingbo Wang et al.
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action
Jiasen Lu, Christopher Clark, Sangho Lee et al.
Unified Language-driven Zero-shot Domain Adaptation
Senqiao Yang, Zhuotao Tian, Li Jiang et al.
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
Yang Jin, Kun Xu, Kun Xu et al.
Unified Local-Cloud Decision-Making via Reinforcement Learning
Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj et al.