U. N. Niranjan

Affiliations:
  • University of California, Irvine, Electrical Engineering and Computer Science Department


According to our database1, U. N. Niranjan authored at least 20 papers between 2013 and 2024.

Collaborative distances:

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Bibliography

2024
CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models.
CoRR, 2024

2023
Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding.
CoRR, 2022

ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise.
CoRR, 2022

PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019
Guaranteed Scalable Learning of Latent Tree Models.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2017
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier.
CoRR, 2017

Provable Inductive Robust PCA via Iterative Hard Thresholding.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Inductive Pairwise Ranking: Going Beyond the <i>n</i> log(<i>n</i>) Barrier.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Guaranteed and Efficient Learning Algorithms for Ranking and Matrix Factorization.
PhD thesis, 2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Online tensor methods for learning latent variable models.
J. Mach. Learn. Res., 2015

FEAST at Play: Feature ExtrAction using Score function Tensors.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2014
Understanding Machine-learned Density Functionals.
CoRR, 2014

Integrated Structure and Parameters Learning in Latent Tree Graphical Models.
CoRR, 2014

Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons.
Comput. Aided Des., 2014

Non-convex Robust PCA.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs.
CoRR, 2013


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