ML@Rutgers

llm-continual-learning-survey

Continual Learning of Large Language Models: A Comprehensive Survey

GRDA

[ICLR 2022] Graph-Relational Domain Adaptation

VDI

[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation

unified-continual-learning

[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

multimodal-needle-in-a-haystack

Code and data for the benchmark "Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models"

TSDA

[ICML 2023] Taxonomy-Structured Domain Adaptation

MMLU-SR

multi-domain-active-learning

[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

variational-imbalanced-regression

[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing

ECBM

ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

Formal-LLM

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

train-free-uncertainty

Official Code for "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate, AAAI 2022"