ML@Rutgers

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14 repositories

bayesian-peft
Public
[NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
uncertainty-quantification uncertainty-estimation bayesian-deep-learning bayeisan large-language-models
Python
•4•21•0•0•Updated Nov 16, 2024Nov 16, 2024
llm-continual-learning-survey
Public
Continual Learning of Large Language Models: A Comprehensive Survey
continual-learning llm large-language-model
16•255•1•0•Updated Nov 11, 2024Nov 11, 2024
MMLU-SR
Public
Python
•0•8•0•0•Updated Oct 9, 2024Oct 9, 2024
interpretable-foundation-models
Public
[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models
graphical-models probabilistic-graphical-models interpretability bayesian-deep-learning vision-transformer foundation-models large-language-models llm multimodal-large-language-models large-multimodal-models
Python
•0•7•0•0•Updated Sep 19, 2024Sep 19, 2024
multimodal-needle-in-a-haystack
Public
Code and data for the benchmark "Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models"
benchmark llm multimodal-large-language-models needle-in-a-haystack multimodal-needle-in-a-haystack
Python
•0•34•1•0•Updated Jun 28, 2024Jun 28, 2024
GRDA
Public
[ICLR 2022] Graph-Relational Domain Adaptation
deep-learning graphs game-theory transfer-learning relational-learning adversarial-learning domain-adaptation deep-learning-models graph-learning statistical-machine-learning
Python
•9•43•0•0•Updated Apr 12, 2024Apr 12, 2024
multi-domain-active-learning
Public
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
theory transfer-learning active-learning domain-adaptation multi-domain-adaptation multi-domain-learning
Python
•0•5•0•0•Updated Apr 6, 2024Apr 6, 2024
variational-imbalanced-regression
Public
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
uncertainty-quantification uncertainty-estimation fairness imbalanced-learning bayesian-deep-learning bayesian-neural-network imbalanced-regression
Python
•1•5•1•0•Updated Apr 6, 2024Apr 6, 2024
ECBM
Public
ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Jupyter Notebook
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MIT License
•2•0•0•0•Updated Apr 6, 2024Apr 6, 2024
Formal-LLM
Public
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
Python
•10•0•0•0•Updated Feb 1, 2024Feb 1, 2024
VDI
Public
[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Python
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MIT License
•5•36•0•0•Updated Jan 13, 2024Jan 13, 2024
unified-continual-learning
Public
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
domain-adaptation generalization continual-learning domain-incremental-learning
Python
•5•34•1•0•Updated Dec 21, 2023Dec 21, 2023
train-free-uncertainty
Public
Official Code for "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate, AAAI 2022"
Python
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MIT License
•2•0•0•0•Updated Oct 12, 2023Oct 12, 2023
TSDA
Public
[ICML 2023] Taxonomy-Structured Domain Adaptation
Python
•3•12•0•0•Updated Oct 6, 2023Oct 6, 2023