Yaoming Wang
17 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
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EACL (1)
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EMNLP (1)
IJCAI (1)
NIPS (1)
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Keywords
contrastive learning
(2)
neural architecture search
(2)
parameter-efficient fine-tuning
(2)
transfer learning
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vision transformer
(2)
unsupervised learning
(2)
semantic segmentation
(1)
domain adaptation
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one-shot learning
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variational inference
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domain generalization
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learning theory
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object detection
(1)
mathematical reasoning
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bipartite matching
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autoregressive generation
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natural language generation
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few-shot learning
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feature representation
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representation learning
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Papers
Noise Conditional Variational Score Distillation
ICML 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
EMNLP 2025
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
ICCV 2025
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
ICML 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
ECCV 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
ICLR 2024
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
ICLR 2024
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
ICLR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
CVPR 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
CVPR 2023
Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis
EACL 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
NIPS 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing
ICCV 2023
Contrastive Regression for Domain Adaptation on Gaze Estimation
CVPR 2022
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
IJCAI 2020