Siddhant Agarwal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Intuitionistic Fuzzy

Reinforcement Learning

Question Answering

Top Venues

Publications

Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) (2024)
Caleb Chuck, Carl Qi, Michael J. Munje, Shuozhe Li, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. CoRR (2024)
Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR (2024)
Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. CoRR (2024)
Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS (2023)
Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR (2022)
Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon
Deep learning for surrogate modelling of 2D mantle convection. CoRR (2021)
Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das
Reinforcement Explanation Learning. CoRR (2021)
Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR (2021)
Mingjie Sun, Siddhant Agarwal, J. Zico Kolter
Poisoned classifiers are not only backdoored, they are fundamentally broken. CoRR (2020)
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR (2020)
Rishabh Madan, Deepank Agrawal, Shreyas Kowshik, Harsh Maheshwari, Siddhant Agarwal, Debashish Chakravarty
Traffic Sign Classification using Hybrid HOG-SURF Features and Convolutional Neural Networks. ICPRAM (2019)
Siddhant Agarwal, Mukta Goyal, Adarsh Kumar, K. Rajalakshmi
Intuitionistic fuzzy ant colony optimization for course sequencing in E-learning. IC3 (2016)