P. K. Srijith
13 papers · 2015–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (8) π Academic Marathon (10) πΊοΈ Taxonomy Completionist (29) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π₯
Unstoppable
(5)
π
Century Club
(12)
Conferences
WACV (3)
ACL (2)
EMNLP (2)
AAAI (1)
AACL (1)
ICLR (1)
IJCNLP (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
continual learning
(6)
neural ordinary differential equation
(3)
variational inference
(2)
uncertainty quantification
(2)
parameter efficiency
(2)
model merging
(2)
recurrent neural network
(2)
large language model
(2)
bayesian learning
(1)
cross-lingual transfer
(1)
catastrophic forgetting
(1)
autonomous driving
(1)
incremental learning
(1)
multilingual nlp
(1)
knowledge distillation
(1)
model selection
(1)
sparse approximation
(1)
gaussian process
(1)
fisher information matrix
(1)
posterior distribution
(1)
Papers
Continual Learning in Large Language Models: Foundations to Frontiers
AACL 2025
Neural Wave Equation for Irregularly Sampled Sequence Data
ICLR 2025
Continual Learning in Large Language Models: Foundations to Frontiers
IJCNLP 2025
AdaPrefix++: Integrating Adapters Prefixes and Hypernetwork for Continual Learning
WACV 2025
TL-CL: Task And Language Incremental Continual Learning
EMNLP 2024
Continual Learning With Dependency Preserving Hypernetworks
WACV 2023
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
ACL 2022
Latent Time Neural Ordinary Differential Equations
AAAI 2022
Subset-of-data variational inference for deep Gaussian-processes regression
UAI 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
NIPS 2021
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
WACV 2021
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter
ACL 2016
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
EMNLP 2015