Poster "zero-shot generalization" Papers
72 papers found • Page 2 of 2
Conference
DePT: Decoupled Prompt Tuning
Ji Zhang, Shihan Wu, Lianli Gao et al.
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Zheng Xiong, Risto Vuorio, Jacob Beck et al.
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin, James Doran, Shangmin Guo et al.
Effect-Invariant Mechanisms for Policy Generalization
Sorawit Saengkyongam, Niklas Pfister, Predag Klasnja et al.
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin, Daoyuan Chen, Bingchen Qian et al.
GraspXL: Generating Grasping Motions for Diverse Objects at Scale
Hui Zhang, Sammy Christen, Zicong Fan et al.
Improving Zero-Shot Generalization for CLIP with Variational Adapter
Ziqian Lu, Fengli Shen, Mushui Liu et al.
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Marco Mistretta, Alberto Baldrati, Marco Bertini et al.
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
Boxin Wang, Wei Ping, Lawrence McAfee et al.
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
Zhaoheng Zheng, Jingmin Wei, Xuefeng Hu et al.
Learning to Route Among Specialized Experts for Zero-Shot Generalization
Mohammed Muqeeth, Haokun Liu, Yufan Liu et al.
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
Prajwal K R, Bowen Shi, Matthew Le et al.
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou, Zhiguang Cao, Yaoxin Wu et al.
One-Prompt to Segment All Medical Images
Wu, Min Xu
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Xi Yang, Songsong Duan, Nannan Wang et al.
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
Wentao Bao, Lichang Chen, Heng Huang et al.
PSALM: Pixelwise Segmentation with Large Multi-modal Model
Zheng Zhang, YeYao Ma, Enming Zhang et al.
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang et al.
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Junhong Shen, Neil Tenenholtz, James Hall et al.
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
Hao Fang, Peng Wu, Yawei Li et al.
Visual Grounding for Object-Level Generalization in Reinforcement Learning
Haobin Jiang, Zongqing Lu