Publication Type: Conference articles

A Survey on the Possibilities & Impossibilities of AI-generated Text Detection

In Transactions on Machine Learning Research (TMLR), 2024, 2024
Soumya Suvra Ghosal and Souradip Chakraborty and Jonas Geiping and Furong Huang and Dinesh Manocha and Amrit Bedi
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STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning

In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023, 2023
Souradip Chakraborty and Amrit Singh Bedi and Alec Koppel and Mengdi Wang and Furong Huang and Dinesh Manocha
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Stein Information Directed Sampling for Efficient Exploration in Model-Based Reinforcement Learning

In Oral, AAAI Reinforcement Learning Ready for Production Workshop, 2023, 2023
Souradip Chakraborty and Amrit Singh Bedi and Alec Koppel and Furong Huang and Dinesh Manocha

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication

In Rebellion and Disobedience in AI (RaD-AI) Workshop, AAMAS 2023, 2023
Yanchao Sun and Ruijie Zheng and Parisa Hassanzadeh and Yongyuan Liang and Soheil Feizi and Sumitra Ganesh and Furong Huang

DP-InstaHide: Data Augmentations Provably Enhance Guarantees Against Dataset Manipulations

In ML Safety workshop, NeurIPS 2022, 2022
Eitan Borgnia and Jonas Geiping and Valeriia Cherepanova and Liam H. Fowl and Arjun Gupta and Amin Ghiasi and Furong Huang and Micah Goldblum and Tom Goldstein

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity

In GLFrontiers Workshop, NeurIPS 2022, 2022
Mucong Ding and Tahseen Rabbani and Bang An and Evan Wang and Furong Huang

Faster Hyperparameter Search on Graphs via Calibrated Dataset Condensation

In GLFrontiers Workshop, NeurIPS 2022, 2022
Mucong Ding and Xiaoyu Liu and Tahseen Rabbani and Furong Huang

End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking

In Neural Information Processing System (NeurIPS), 2022, 2022
Arpit Bansal and Avi Schwarzschild and Eitan Borgnia and Zeyad Emam and Furong Huang and Micah Goldblum and Tom Goldstein
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Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability

In Neural Information Processing System (NeurIPS), 2022, 2022
Roman Levin and Manli Shu and Eitan Borgnia and Furong Huang and Micah Goldblum and Tom Goldstein
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ARMA Nets: Expanding Receptive Field for Dense Prediction

Neural Information Processing System (NeurIPS), 2020
Jiahao Su, Shiqi Wang, Furong Huang
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