Soumye Singhal

According to our database, Soumye Singhal authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adversarial Training of Reward Models.

Alexander Bukharin, Haifeng Qian, Shengyang Sun, Adithya Renduchintala, Soumye Singhal, Zhilin Wang, Oleksii Kuchaiev, Olivier Delalleau, Tuo Zhao

CoRR, April, 2025

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment.

Shengyang Sun, Yian Zhang, Alexander Bukharin, David Mosallanezhad, Jiaqi Zeng, Soumye Singhal, Gerald Shen, Adithya Renduchintala, Tugrul Konuk, Yi Dong, Zhilin Wang, Dmitry Chichkov, Olivier Delalleau, Oleksii Kuchaiev

CoRR, February, 2025

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective.

Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff A. Bilmes

Trans. Mach. Learn. Res., 2025

2023

Effective Backdoor Mitigation Depends on the Pre-training Objective.

Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes

CoRR, 2023

2022

Multi-label Iterated Learning for Image Classification with Label Ambiguity.

Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Jointly Trained Image and Video Generation using Residual Vectors.

Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Countering Language Drift with Seeded Iterated Learning.

Yuchen Lu, Soumye Singhal, Florian Strub, Aaron C. Courville, Olivier Pietquin

Proceedings of the 37th International Conference on Machine Learning, 2020

Supervised Seeded Iterated Learning for Interactive Language Learning.

Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.

Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

Proceedings of the 7th International Conference on Learning Representations, 2019