Site Li
10 papers · 2019–2024 · 7 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.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
β
The Questioner
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(5)
Computer Vision
(4)
Deep Learning
(4)
Analysis
(4)
Learning Types Β· Machine Learning
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Application Areas
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
adversarial learning
(2)
model quantization
(1)
domain adaptation
(1)
benchmark evaluation
(1)
conditional generation
(1)
probabilistic modeling
(1)
semantic segmentation
(1)
anomaly detection
(1)
in-context learning
(1)
face recognition
(1)
feature alignment
(1)
unsupervised domain adaptation
(1)
context understanding
(1)
ai safety
(1)
label shift
(1)
pixel classification
(1)
variational autoencoder
(1)
language model
(1)
out-of-distribution detection
(1)
dictionary learning
(1)
Papers
Can Large Language Models Understand Context?
EACL 2024
5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair
Interspeech 2023
MARRS: Multimodal Reference Resolution System
EMNLP 2023
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate
ICCV 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AAAI 2021
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
ICCV 2021
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
ECCV 2020
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
AAAI 2020
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
CVPR 2019
Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition
ICCV 2019