Lajanugen Logeswaran
Lajanugen Logeswaran
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Generative adversarial text to image synthesis
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee
International conference on machine learning, 1060-1069, 2016
An efficient framework for learning sentence representations
L Logeswaran, H Lee
International Conference on Learning Representations, 2018
Zero-shot entity linking by reading entity descriptions
L Logeswaran, MW Chang, K Lee, K Toutanova, J Devlin, H Lee
arXiv preprint arXiv:1906.07348, 2019
Sentence ordering and coherence modeling using recurrent neural networks
L Logeswaran, H Lee, D Radev
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Content preserving text generation with attribute controls
L Logeswaran, H Lee, S Bengio
Advances in Neural Information Processing Systems 31, 2018
Performance, resource, and cost aware resource provisioning in the cloud
L Logeswaran, HMND Bandara, HS Bhathiya
2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 913-916, 2016
Few-shot sequence learning with transformers
L Logeswaran, A Lee, M Ott, H Lee, MA Ranzato, A Szlam
arXiv preprint arXiv:2012.09543, 2020
Few-shot subgoal planning with language models
L Logeswaran, Y Fu, M Lee, H Lee
arXiv preprint arXiv:2205.14288, 2022
Layered Depth Image based HEVC Multi-view Codec
S Kirshanthan, L Lajanugen, PND Panagoda, LP Wijesinghe, D De Silva, ...
International Symposium on Visual Computing, 2014
Exploring the benefits of training expert language models over instruction tuning
J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo
arXiv preprint arXiv:2302.03202, 2023
Learning compositional tasks from language instructions
L Logeswaran, WT Carvalho, H Lee
Deep RL Workshop NeurIPS 2021, 2021
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
J Jang, D Yoon, S Yang, S Cha, M Lee, L Logeswaran, M Seo
arXiv preprint arXiv:2210.01504, 2022
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
arXiv preprint arXiv:2205.12650, 2022
Performance, resource and cost aware virtual machine adaptation
L Logeswaran
Solving Jigsaw Puzzles using Paths and Cycles.
L Logeswaran
BMVC, 2014
Discriminator-Guided Multi-step Reasoning with Language Models
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
arXiv preprint arXiv:2305.14934, 2023
A Picture is Worth a Thousand Words: Language Models Plan from Pixels
AZ Liu, L Logeswaran, S Sohn, H Lee
arXiv preprint arXiv:2303.09031, 2023
Exploring Demonstration Ensembling for In-context Learning
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
L Logeswaran, S Sohn, Y Jang, M Lee, H Lee
arXiv preprint arXiv:2302.09173, 2023
Multimodal Subtask Graph Generation from Instructional Videos
Y Jang, S Sohn, L Logeswaran, T Luo, M Lee, H Lee
arXiv preprint arXiv:2302.08672, 2023
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