Belinda Zeng
15 papers · 2020–2025 · 9 venues · across top CS/AI venues
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The Questioner
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Machine Learning
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(2)
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Generation Β· Computer Vision
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contrastive learning
(6)
knowledge distillation
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representation learning
(3)
multimodal learning
(3)
multi-task learning
(2)
visual question answering
(2)
semantic similarity
(2)
pre-trained language model
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vision-language representation
(2)
cross-modal retrieval
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preference learning
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transfer learning
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adversarial robustness
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self-supervised learning
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variational inference
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binary classification
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zero-shot learning
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video retrieval
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adversarial training
(1)
video understanding
(1)
Papers
Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
NAACL 2025
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
AISTATS 2024
Diffusion Models for Multi-Task Generative Modeling
ICLR 2024
Robust Multi-Task Learning with Excess Risks
ICML 2024
VidLA: Video-Language Alignment at Scale
CVPR 2024
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
EMNLP 2023
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
ACL 2023
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
CVPR 2023
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks
NAACL 2022
DynaMaR: Dynamic Prompt with Mask Token Representation
EMNLP 2022
Multi-Modal Alignment Using Representation Codebook
CVPR 2022
Vision-Language Pre-Training With Triple Contrastive Learning
CVPR 2022
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
NeurIPS 2022
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA
NAACL 2021
CAM: Uninteresting Speech Detector
Interspeech 2020