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Publication search results
found 430 matches
- 2024
- Nalini Pusarla, Anurag Singh, Shrivishal Tripathi, Avinash Vujji, Ram Bilas Pachori:
Exploring CEEMDAN and LMD Domains Entropy Features for Decoding EEG-Based Emotion Patterns. IEEE Access 12: 103606-103625 (2024) - Shivani Joshi, Rajiv Kumar, Vipin Rai, Praveen Kumar Rai, Manoj Singhal, Avinash Dwivedi:
FASO-C: A rapid visualization technique based on optimized fusion with crossover-based atom search for multi-band imagery. Expert Syst. Appl. 249: 123609 (2024) - Avishek Sinha, Samayveer Singh, Harsh K. Verma:
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing. J. Grid Comput. 22(1): 13 (2024) - Simran Chaudhary, Fatema Kapadia, Avinesh Singh, Nidhi Kumari, Prasanta K. Jana:
Prioritization-based delay sensitive task offloading in SDN-integrated mobile IoT network. Pervasive Mob. Comput. 103: 101960 (2024) - Suleman Khan, Gurjot Singh Gaba, Andrei V. Gurtov, Leonardus J. A. Jansen, Nils Mäurer, Corinna Schmitt:
Post-Quantum Secure Handover Mechanism for Next-Generation Aviation Communication Networks. IEEE Trans. Green Commun. Netw. 8(3): 939-955 (2024) - Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T. Parisi, Abhishek Kumar, Alexander A. Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel:
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. Trans. Mach. Learn. Res. 2024 (2024) - Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. ACM Trans. Inf. Syst. 42(5): 119:1-119:29 (2024) - Mayur Patidar, Riya Sawhney, Avinash Kumar Singh, Biswajit Chatterjee, Mausam, Indrajit Bhattacharya:
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning. ACL (1) 2024: 9147-9165 - Atulya Singh, Tasmina Islam:
CyberBot: A Friendly Bot to Protect and Educate Digitally Vulnerable People from Cybercrime. CSE4IA@AVI 2024 - Dewesh Agrawal, Gurpreet Singh, Harinderjit Singh, Kulvir Singh, Prianshu Jha, Yashwant Singh Patel:
Fed-Avis: A Lightweight Federated Learning Assisted Anti-Vehicle Infiltration System. ICDCN 2024: 310-315 - Simranjit Singh, Aditya Golatkar, Avijit Verma:
Role of Over-Parameterization in Generalization of 3-layer ReLU Networks. Tiny Papers @ ICLR 2024 - Rahul Singh, Akshay Mete, Avik Kar, Panganamala R. Kumar:
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation. ICML 2024 - Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi:
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. ICML 2024 - Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar:
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data. ICML 2024 - Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar:
Robotic Offline RL from Internet Videos via Value-Function Learning. ICRA 2024: 16977-16984 - Avinash Kumar Singh, Kousik Sarathy Sridharan, Sam Wu, Oren Tirosh, Mohan Raghavan:
Simulated Clinical Triage of Modified Tardieu Test for Lower Limb Spasticity. MeMeA 2024: 1-6 - Yiyun Zhao, Prateek Singh, Hanoz Bhathena, Bernardo Ramos, Aviral Joshi, Swaroop Gadiyaram, Saket Sharma:
Optimizing LLM Based Retrieval Augmented Generation Pipelines in the Financial Domain. NAACL (Industry Track) 2024: 279-294 - Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta, Rajiv Ratn Shah:
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting. PAKDD (5) 2024: 53-64 - Nisha Sunariya, Avinash Singh, Mehtab Alam, Vibha Gaur:
Classification of Mobile Price Using Machine Learning. SCI 2024: 55-66 - Shanthika Naik, Kunwar Singh, Astitva Srivastava, Dhawal Sirikonda, Amit Raj, Varun Jampani, Avinash Sharma:
Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting. CoRR abs/2401.03108 (2024) - Shubhransh Singhvi, Charchit Gupta, Avital Boruchovsky, Yuval Goldberg, Han Mao Kiah, Eitan Yaakobi:
Permutation Recovery Problem against Deletion Errors for DNA Data Storage. CoRR abs/2403.15827 (2024) - Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani:
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. CoRR abs/2404.03570 (2024) - Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta, Rajiv Ratn Shah:
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting. CoRR abs/2404.08704 (2024) - Avinash Anand, Raj Jaiswal, Mohit Gupta, Siddhesh S. Bangar, Pijush Bhuyan, Naman Lal, Rajeev Singh, Ritika Jha, Rajiv Ratn Shah, Shin'ichi Satoh:
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization. CoRR abs/2404.09530 (2024) - Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal M. P. Behbahani, Aleksandra Faust, Hugo Larochelle:
Many-Shot In-Context Learning. CoRR abs/2404.11018 (2024) - Avinash Anand, Janak Kapuriya, Chhavi Kirtani, Apoorv Singh, Jay Saraf, Naman Lal, Jatin Kumar, Adarsh Raj Shivam, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann:
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering. CoRR abs/2404.12926 (2024) - Aviral Agrawal, Carlos Mateo Samudio Lezcano, Iqui Balam Heredia-Marin, Prabhdeep Singh Sethi:
Listen Then See: Video Alignment with Speaker Attention. CoRR abs/2404.13530 (2024) - Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar:
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data. CoRR abs/2404.14367 (2024) - Avik Kar, Rahul Singh:
Adaptive Discretization-based Non-Episodic Reinforcement Learning in Metric Spaces. CoRR abs/2405.18793 (2024) - Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi:
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. CoRR abs/2406.03864 (2024)
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