Pramuditha Perera
11 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI
(5)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Models
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Architectures
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Analysis
(1)
Keywords
multimodal learning
(2)
novelty detection
(2)
self-supervised learning
(2)
generative model
(2)
transfer learning
(2)
vision-language model
(2)
open-set recognition
(2)
embedding space
(1)
domain adaptation
(1)
zero-shot learning
(1)
autoregressive generation
(1)
distributional semantics
(1)
test-time adaptation
(1)
visual grounding
(1)
entity linking
(1)
mutual information
(1)
direct preference optimization
(1)
feature representation
(1)
deep learning
(1)
visual question answering
(1)
Papers
Meaning Representations from Trajectories in Autoregressive Models
ICLR 2024
Multi-Modal Hallucination Control by Visual Information Grounding
CVPR 2024
A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
CVPR 2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
ACL 2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
ACL 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
ICCV 2023
Train/Test-Time Adaptation With Retrieval
CVPR 2023
Generative-Discriminative Feature Representations for Open-Set Recognition
CVPR 2020
Open-set Adversarial Defense
ECCV 2020
Deep Transfer Learning for Multiple Class Novelty Detection
CVPR 2019
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
CVPR 2019