Folgen
Prateek Yadav
Titel
Zitiert von
Zitiert von
Jahr
Hypergcn: A new method for training graph convolutional networks on hypergraphs
N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar
NeurIPS 2019, 1511-1522, 2019
4232019
Graph convolutional networks based word embeddings
S Vashishth, P Yadav, M Bhandari, P Rai, C Bhattacharyya, P Talukdar
ACL 2019, 2018
121*2018
NHP: Neural hypergraph link prediction
N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar
CIKM 2020, 1705-1714, 2020
77*2020
TIES-merging: Resolving interference when merging models
P Yadav, D Tam, L Choshen, C Raffel, M Bansal
NeurIPS 2023, 2023
60*2023
Self-Chained Image-Language Model for Video Localization and Question Answering
S Yu, J Cho, P Yadav, M Bansal
NeurIPS 2023, 2023
462023
Confidence-based graph convolutional networks for semi-supervised learning
S Vashishth, P Yadav, M Bhandari, P Talukdar
AISTATS 2019, 1792-1801, 2019
452019
ExplaGraphs: An explanation graph generation task for structured commonsense reasoning
S Saha, P Yadav, L Bauer, M Bansal
EMNLP 2021, 2021
372021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
MB Swarnadeep Saha, Prateek Yadav
NAACL 2021, 2021
26*2021
Lovasz convolutional networks
P Yadav, M Nimishakavi, N Yadati, S Vashishth, A Rajkumar, P Talukdar
AISTATS 2019, 1978-1987, 2019
142019
INSPIRE: A Framework for Integrating Individual User Preferences in Recourse
P Yadav, P Hase, M Bansal
TMLR, 2022
13*2022
Exploring continual learning for code generation models
P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ...
ACL 2023, 2023
112023
Explanation graph generation via pre-trained language models: An empirical study with contrastive learning
S Saha, P Yadav, M Bansal
ACL 2022, 2022
82022
Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
A Maharana, P Yadav, M Bansal
The Twelfth International Conference on Learning Representations, 2023
5*2023
Compeft: Compression for communicating parameter efficient updates via sparsification and quantization
P Yadav, L Choshen, C Raffel, M Bansal
arXiv preprint arXiv:2311.13171, 2023
22023
Exclusive Supermask Subnetwork Training for Continual Learning
P Yadav, M Bansal
ACL (Findings) 2023, 2022
22022
Rank Refinement: An Algorithmic framework with applications to diversity aware influence maximization
P Yadav, A Rajkumar
AAAI 2021, 2021
12021
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the US Executive Order
T Nakamura, M Mishra, S Tedeschi, Y Chai, JT Stillerman, F Friedrich, ...
arXiv preprint arXiv:2404.00399, 2024
2024
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
P Li, Z Zhang, P Yadav, YL Sung, Y Cheng, M Bansal, T Chen
ICLR 2024 (Spotlight), 2023
2023
Modelling operational conditions to predict life expectancy and faults of vehicle components in a fleet
A Rajkumar, S Ramakrishnan, S Banerjee, R Singh, K Chilamkurthi, ...
US Patent 11,232,650, 2022
2022
INSPIRE: Incorporating Diverse Feature Preferences in Recourse
P Yadav, P Hase, M Bansal
Transactions on Machine Learning Research, 0
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20