Arpit, Devansh

21 publications

ICLRW 2024 Bolaa: Benchmarking and Orchestrating LLM Autonomous Agents Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, R N Rithesh, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

CLeaR 2024 Causal Layering via Conditional Entropy Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang

PGM 2024 On the Unlikelihood of D-Separation Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Huan Wang, Caiming Xiong, Silvio Savarese

ICLRW 2024 REX: Rapid Exploration and eXploitation for AI Agents R N Rithesh, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

ICLR 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, R N Rithesh, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

MLOSS 2023 Merlion: End-to-End Machine Learning for Time Series Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

NeurIPS 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

ICML 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo B Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J Geras

ICLR 2020 The Break-Even Point on Optimization Trajectories of Deep Neural Networks Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof Geras

ICLR 2019 H-Detach: Modifying the LSTM Gradient Towards Better Optimization Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas, Yoshua Bengio

NeurIPS 2019 How to Initialize Your Network? Robust Initialization for WeightNorm & ResNets Devansh Arpit, Víctor Campos, Yoshua Bengio

ICML 2019 On the Spectral Bias of Neural Networks Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio, Aaron Courville

ICLR 2018 Fraternal Dropout Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio

ICLR 2018 Residual Connections Encourage Iterative Inference Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio

ICML 2017 A Closer Look at Memorization in Deep Networks Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, Simon Lacoste-Julien

ICLR 2017 Deep Nets Don't Learn via Memorization David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville

CVPRW 2017 Person Re-Identification for Improved Multi-Person Multi-Camera Tracking by Continuous Entity Association Neeti Narayan, Nishant Sankaran, Devansh Arpit, Karthik Dantu, Srirangaraj Setlur, Venu Govindaraju

ICML 2016 Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks Devansh Arpit, Yingbo Zhou, Bhargava Kota, Venu Govindaraju

ICML 2016 Why Regularized Auto-Encoders Learn Sparse Representation? Devansh Arpit, Yingbo Zhou, Hung Ngo, Venu Govindaraju

NeurIPS 2014 Dimensionality Reduction with Subspace Structure Preservation Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju

WACV 2013 Ridge Regression Based Classifiers for Large Scale Class Imbalanced Datasets Devansh Arpit, Shuang Wu, Pradeep Natarajan, Rohit Prasad, Premkumar Natarajan