Da Li
32 papers · 2017–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(22)
Deep Learning
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Optimization & Theory
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Learning Types Β· Machine Learning
(9)
Core AI
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transfer learning
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representation learning
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zero-shot learning
(3)
diffusion model
(3)
domain generalization
(3)
few-shot learning
(3)
federated learning
(2)
image classification
(2)
domain adaptation
(2)
weight pruning
(2)
stochastic neural network
(2)
transformer architecture
(2)
model compression
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contrastive learning
(2)
adversarial attack
(2)
neural network
(2)
offline reinforcement learning
(1)
adversarial robustness
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multi-task learning
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vision transformer
(1)
Papers
Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
ACL 2026
EfficientMonoHair: Fast Strand-Level Reconstruction from Monocular Video via Multi-View Direction Fusion
CVPR 2026
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
AAAI 2026
OMG-Bench: A New Challenging Benchmark for Skeleton-based Online Micro Hand Gesture Recognition
CVPR 2026
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
AAAI 2026
Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation
AAAI 2026
A Survey of Link Prediction in N-ary Knowledge Graphs
EMNLP 2025
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
ICLR 2025
Optimal Information Retention for Time-Series Explanations
ICML 2025
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
EMNLP 2025
Feed-Forward Latent Domain Adaptation
WACV 2024
Neural Fine-Tuning Search for Few-Shot Learning
ICLR 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
Better Practices for Domain Adaptation
AutoML 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
ICLR 2023
FedL2P: Federated Learning to Personalize
NeurIPS 2023
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
CVPR 2023
Quality Diversity for Visual Pre-Training
ICCV 2023
SketchKnitter: Vectorized Sketch Generation with Diffusion Models
ICLR 2023
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
CVPR 2023
AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification
SemEval 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
ICML 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
CVPR 2022
A Simple Feature Augmentation for Domain Generalization
ICCV 2021
Simple and Effective Stochastic Neural Networks
AAAI 2021
Weight-covariance alignment for adversarially robust neural networks
ICML 2021
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
ECCV 2020
Episodic Training for Domain Generalization
ICCV 2019
Robust Person Re-Identification by Modelling Feature Uncertainty
ICCV 2019
Deep Factorised Inverse-Sketching
ECCV 2018
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
CVPR 2018
Deeper, Broader and Artier Domain Generalization
ICCV 2017