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Palash Goyal
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2020 – today
- 2024
- [c20]Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan:
MICo: Preventative Detoxification of Large Language Models through Inhibition Control. NAACL-HLT (Findings) 2024: 1696-1703 - [c19]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta:
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) 2024: 1739-1756 - [c18]Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
The steerability of large language models toward data-driven personas. NAACL-HLT 2024: 7290-7305 - 2023
- [j9]Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri:
Editorial: Deep learning with limited labeled data for vision, audio, and text. Frontiers Artif. Intell. 6 (2023) - [c17]Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) 2023: 14367-14388 - [c16]Qian Hu, Palash Goyal, Rahul Gupta:
Faithful Model Evaluation for Model-Based Metrics. EMNLP 2023: 7484-7489 - [c15]Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT 2023: 1246-1266 - [c14]Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan:
Incorporating Fairness in Large Scale NLU Systems. WSDM 2023: 1289-1290 - [i26]Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR abs/2305.09941 (2023) - [i25]Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. CoRR abs/2308.04265 (2023) - [i24]Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
On the steerability of large language models toward data-driven personas. CoRR abs/2311.04978 (2023) - [i23]Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR abs/2311.09473 (2023) - [i22]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR abs/2312.11779 (2023) - [i21]Palash Goyal, Qian Hu, Rahul Gupta:
Faithful Model Evaluation for Model-Based Metrics. CoRR abs/2312.17254 (2023) - 2022
- [c13]Saurabh Sahu, Palash Goyal:
Leveraging Local Temporal Information for Multimodal Scene Classification. ICASSP 2022: 1830-1834 - [i20]Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR abs/2211.12503 (2022) - 2021
- [j8]Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque:
Pykg2vec: A Python Library for Knowledge Graph Embedding. J. Mach. Learn. Res. 22: 16:1-16:6 (2021) - [j7]Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey, Gustavo Quiros:
ArduCode: Predictive Framework for Automation Engineering. IEEE Trans Autom. Sci. Eng. 18(3): 1417-1428 (2021) - [c12]Palash Goyal, Divya Choudhary, Shalini Ghosh:
Hierarchical Class-Based Curriculum Loss. IJCAI 2021: 2448-2454 - [i19]Saurabh Sahu, Palash Goyal:
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training. CoRR abs/2103.10043 (2021) - [i18]Divya Choudhary, Palash Goyal, Saurabh Sahu:
Can't Fool Me: Adversarially Robust Transformer for Video Understanding. CoRR abs/2110.13950 (2021) - [i17]Saurabh Sahu, Palash Goyal:
Leveraging Local Temporal Information for Multimodal Scene Classification. CoRR abs/2110.13992 (2021) - 2020
- [j6]Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo:
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning. Knowl. Based Syst. 187 (2020) - [j5]Palash Goyal:
Graph embedding algorithms for attributed and temporal graphs. SIGWEB Newsl. 2020(Spring): 3:1-3:4 (2020) - [c11]Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan:
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. AAAI 2020: 3970-3979 - [c10]Palash Goyal, Sachin Raja, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Ajoy Mondal, Jaya Shree, C. V. Jawahar:
Graph Representation Ensemble Learning. ASONAM 2020: 24-31 - [c9]Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee:
Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. ACM Multimedia 2020: 313-321 - [i16]Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Exploiting Temporal Coherence for Multi-modal Video Categorization. CoRR abs/2002.03844 (2020) - [i15]Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Cross-modal Learning for Multi-modal Video Categorization. CoRR abs/2003.03501 (2020) - [i14]Palash Goyal, Shalini Ghosh:
Hierarchical Class-Based Curriculum Loss. CoRR abs/2006.03629 (2020)
2010 – 2019
- 2019
- [j4]Anna Sapienza, Palash Goyal, Emilio Ferrara:
Deep Neural Networks for Optimal Team Composition. Frontiers Big Data 2: 14 (2019) - [c8]Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo:
Tracking Temporal Evolution of Graphs using Non-Timestamped Data. HT 2019: 173-180 - [i13]Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque:
Pykg2vec: A Python Library for Knowledge Graph Embedding. CoRR abs/1906.04239 (2019) - [i12]Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo:
Tracking Temporal Evolution of Graphs using Non-Timestamped Data. CoRR abs/1907.02222 (2019) - [i11]Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara:
Benchmarks for Graph Embedding Evaluation. CoRR abs/1908.06543 (2019) - [i10]Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson:
Graph Representation Ensemble Learning. CoRR abs/1909.02811 (2019) - [i9]Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey:
ArduCode: Predictive Framework for Automation Engineering. CoRR abs/1909.04503 (2019) - 2018
- [j3]Palash Goyal, Emilio Ferrara:
GEM: A Python package for graph embedding methods. J. Open Source Softw. 3(29): 876 (2018) - [j2]Palash Goyal, Emilio Ferrara:
Graph embedding techniques, applications, and performance: A survey. Knowl. Based Syst. 151: 78-94 (2018) - [j1]Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan:
Capturing Edge Attributes via Network Embedding. IEEE Trans. Comput. Soc. Syst. 5(4): 907-917 (2018) - [c7]Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman:
DarkEmbed: Exploit Prediction With Neural Language Models. AAAI 2018: 7849-7854 - [c6]Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan:
Embedding Networks with Edge Attributes. HT 2018: 38-42 - [c5]Palash Goyal, Anna Sapienza, Emilio Ferrara:
Recommending Teammates with Deep Neural Networks. HT 2018: 57-61 - [c4]Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman:
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. ICWSM 2018: 656-659 - [c3]Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan:
Dialogue Modeling Via Hash Functions. LaCATODA@IJCAI 2018: 24-36 - [i8]Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan:
Capturing Edge Attributes via Network Embedding. CoRR abs/1805.03280 (2018) - [i7]Anna Sapienza, Palash Goyal, Emilio Ferrara:
Deep Neural Networks for Optimal Team Composition. CoRR abs/1805.03285 (2018) - [i6]Palash Goyal, Nitin Kamra, Xinran He, Yan Liu:
DynGEM: Deep Embedding Method for Dynamic Graphs. CoRR abs/1805.11273 (2018) - [i5]Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman:
Discovering Signals from Web Sources to Predict Cyber Attacks. CoRR abs/1806.03342 (2018) - [i4]Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri, Palash Goyal, Mohammad Abdullah Al Faruque, Arquimedes Canedo:
Future Automation Engineering using Structural Graph Convolutional Neural Networks. CoRR abs/1808.08213 (2018) - [i3]Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo:
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning. CoRR abs/1809.02657 (2018) - [i2]Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo:
DynamicGEM: A Library for Dynamic Graph Embedding Methods. CoRR abs/1811.10734 (2018) - 2017
- [c2]Chung Ming Cheung, Palash Goyal, Viktor K. Prasanna, Arash Saber Tehrani:
OReONet: Deep convolutional network for oil reservoir optimization. IEEE BigData 2017: 1277-1282 - [i1]Palash Goyal, Emilio Ferrara:
Graph Embedding Techniques, Applications, and Performance: A Survey. CoRR abs/1705.02801 (2017) - 2016
- [c1]Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar:
Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library. VISIGRAPP (4: VISAPP) 2016: 525-532
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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