Soham De - RankMe

70 papers A* 12A 5C 3Misc 1Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Question the Questions: Auditing Representation in Online Deliberative Processes. WWW Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel D. Procaccia, Alice Siu
2026	J	`jnl`	The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement. CoRR Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng
2025	J	`jnl`	From job titles to jawlines: Using context voids to study generative AI systems. CoRR Shahan Ali Memon, Soham De, Sungha Kang, Riyan Mujtaba, Bedoor K. AlShebli, Katie Davis, Jaime Snyder, Jevin D. West
2025	J	`jnl`	How do language models learn facts? Dynamics, curricula and hallucinations. CoRR Nicolas Zucchet, Jörg Bornschein, Stephanie C. Y. Chan, Andrew K. Lampinen, Razvan Pascanu, Soham De
2025	J	`jnl`	Optimizers Qualitatively Alter Solutions And We Should Leverage This. CoRR Razvan Pascanu, Clare Lyle, Ionut-Vlad Modoranu, Naima Elosegui Borras, Dan Alistarh, Petar Velickovic, Sarath Chandar, Soham De, James Martens
2025	J	`jnl`	Question the Questions: Auditing Representation in Online Deliberative Processes. CoRR Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel D. Procaccia, Alice Siu
2025	J	`jnl`	Scaling Human Judgment in Community Notes with LLMs. CoRR Haiwen Li, Soham De, Manon Revel, Andreas Haupt, Brad Miller, Keith Coleman, Jay Baxter, Martin Saveski, Michiel A. Bakker
2025	A*	`conf`	Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. WWW Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski
2024	J	`jnl`	Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Caglar Gulcehre
2024	J	`jnl`	Networks and Influencers in Online Propaganda Events: A Comparative Study of Three Cases in India. Proc. ACM Hum. Comput. Interact. Anirban Sen, Soham De, Joyojeet Pal
2024	J	`jnl`	On the Influence and Political Leaning of Overlap between Propaganda Communities. ACM J. Comput. Sustain. Soc. Anirban Sen, Soumyasis Gun, Soham De, Joyojeet Pal
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
2024	J	`jnl`	Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. CoRR Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski
2024	A*	`conf`	Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues. ICML Antonio Orvieto, Soham De, Caglar Gulcehre, Razvan Pascanu, Samuel L. Smith
2023	J	`jnl`	ConvNets Match Vision Transformers at Scale. CoRR Samuel L. Smith, Andrew Brock, Leonard Berrada, Soham De
2023	J	`jnl`	Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
2023	J	`jnl`	On the Universality of Linear Recurrences Followed by Nonlinear Projections. CoRR Antonio Orvieto, Soham De, Çaglar Gülçehre, Razvan Pascanu, Samuel L. Smith
2023	A*	`conf`	Resurrecting Recurrent Neural Networks for Long Sequences. ICML Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, Çaglar Gülçehre, Razvan Pascanu, Soham De
2023	J	`jnl`	Resurrecting Recurrent Neural Networks for Long Sequences. CoRR Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, Çaglar Gülçehre, Razvan Pascanu, Soham De
2023	J	`jnl`	Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle
2022	C	`conf`	Closed Ranks: The Discursive Value of Military Support for Indian Politicians on Social Media. ICTD Agrima Seth, Soham De, Arshia Arya, Steven Wilkinson, Sushant Singh, Joyojeet Pal
2022	J	`jnl`	Closed Ranks: The Discursive Value of Military Support for Indian Politicians on Social Media. CoRR Agrima Seth, Soham De, Arshia Arya, Steven Wilkinson, Sushant Singh, Joyojeet Pal
2022	A	`conf`	DISMISS: Database of Indian Social Media Influencers on Twitter. ICWSM Arshia Arya, Soham De, Dibyendu Mishra, Gazal Shekhawat, Ankur Sharma, Anmol Panda, Faisal M. Lalani, Parantak Singh, Ramaravind Kommiya Mothilal, Rynaa Grover, Sachita Nishal, Saloni Dash, Shehla Rashid Shora, Syeda Zainab Akbar, Joyojeet Pal
2022	J	`jnl`	Database of Indian Social Media Influencers on Twitter. CoRR Arshia Arya, Soham De, Dibyendu Mishra, Gazal Shekhawat, Ankur Sharma, Anmol Panda, Faisal M. Lalani, Parantak Singh, Ramaravind Kommiya Mothilal, Rynaa Grover, Sachita Nishal, Saloni Dash, Shehla Rashid Shora, Syeda Zainab Akbar, Joyojeet Pal
2022	C	`conf`	Note: Picking Sides: The influencer-driven #HijabBan discourse on Twitter. COMPASS Soham De, Anmol Panda, Joyojeet Pal
2022	J	`jnl`	Regularising for invariance to data augmentation improves supervised learning. CoRR Aleksander Botev, Matthias Bauer, Soham De
2022	J	`jnl`	Unlocking High-Accuracy Differentially Private Image Classification through Scale. CoRR Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle
2021	J	`jnl`	A study on the plasticity of neural networks. CoRR Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath
2021	A*	`conf`	Characterizing signal propagation to close the performance gap in unnormalized ResNets. ICLR Andrew Brock, Soham De, Samuel L. Smith
2021	J	`jnl`	Characterizing signal propagation to close the performance gap in unnormalized ResNets. CoRR Andrew Brock, Soham De, Samuel L. Smith
2021	J	`jnl`	Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error. CoRR Stanislav Fort, Andrew Brock, Razvan Pascanu, Soham De, Samuel L. Smith
2021	A*	`conf`	High-Performance Large-Scale Image Recognition Without Normalization. ICML Andy Brock, Soham De, Samuel L. Smith, Karen Simonyan
2021	J	`jnl`	High-Performance Large-Scale Image Recognition Without Normalization. CoRR Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan
2021	A*	`conf`	On the Origin of Implicit Regularization in Stochastic Gradient Descent. ICLR Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2021	J	`jnl`	On the Origin of Implicit Regularization in Stochastic Gradient Descent. CoRR Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2020	J	`jnl`	BYOL works even without batch statistics. CoRR Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel L. Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko
2020	J	`jnl`	Batch Normalization Biases Deep Residual Networks Towards Shallow Paths. CoRR Soham De, Samuel L. Smith
2020	A*	`conf`	Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks. NeurIPS Soham De, Samuel L. Smith
2020	—	`conf`	Modeling Citation Trajectories of Scientific Papers. PAKDD (2) Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty
2020	J	`jnl`	Modeling Citation Trajectories of Scientific Papers. CoRR Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty
2020	A*	`conf`	On the Generalization Benefit of Noise in Stochastic Gradient Descent. ICML Samuel L. Smith, Erich Elsen, Soham De
2020	J	`jnl`	On the Generalization Benefit of Noise in Stochastic Gradient Descent. CoRR Samuel L. Smith, Erich Elsen, Soham De
2020	A*	`conf`	The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. ICML Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein
2019	A*	`conf`	Adversarial Robustness through Local Linearization. NeurIPS Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Adversarial Robustness through Local Linearization. CoRR Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	A	`conf`	Efficient Neural Network Verification with Exactness Characterization. UAI Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli
2019	J	`jnl`	The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. CoRR Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein
2018	J	`jnl`	Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders. CoRR Amitabh Basu, Soham De, Anirbit Mukherjee, Enayat Ullah
2018	—	`—`	Fast optimization methods for machine learning, and game-theoretic models of cultural evolution. Soham De
2018	—	`conf`	Tipping Points for Norm Change in Human Cultures. SBP-BRiMS Soham De, Dana S. Nau, Xinyue Pan, Michele J. Gelfand
2018	J	`jnl`	Tipping Points for Norm Change in Human Cultures. CoRR Soham De, Dana S. Nau, Xinyue Pan, Michele J. Gelfand
2017	A	`conf`	Automated Inference with Adaptive Batches. AISTATS Soham De, Abhay Kumar Yadav, David W. Jacobs, Tom Goldstein
2017	J	`jnl`	Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation. CoRR Carlos Domingo Castillo, Soham De, Xintong Han, Bharat Singh, Abhay Kumar Yadav, Tom Goldstein
2017	Misc	`conf`	Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation. ICASSP Carlos Domingo Castillo, Soham De, Xintong Han, Bharat Singh, Abhay Kumar Yadav, Tom Goldstein
2017	—	`conf`	Training Quantized Nets: A Deeper Understanding. NIPS Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein
2017	J	`jnl`	Training Quantized Nets: A Deeper Understanding. CoRR Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein
2017	J	`jnl`	Understanding Norm Change: An Evolutionary Game-Theoretic Approach (Extended Version). CoRR Soham De, Dana S. Nau, Michele J. Gelfand
2017	A	`conf`	Understanding Norm Change: An Evolutionary Game-Theoretic Approach. AAMAS Soham De, Dana S. Nau, Michele J. Gelfand
2016	J	`jnl`	An Empirical Study of ADMM for Nonconvex Problems. CoRR Zheng Xu, Soham De, Mário A. T. Figueiredo, Christoph Studer, Tom Goldstein
2016	J	`jnl`	Big Batch SGD: Automated Inference using Adaptive Batch Sizes. CoRR Soham De, Abhay Kumar Yadav, David W. Jacobs, Tom Goldstein
2016	A*	`conf`	Efficient Distributed SGD with Variance Reduction. ICDM Soham De, Tom Goldstein
2016	J	`jnl`	Using Game Theory to Study the Evolution of Cultural Norms. CoRR Soham De, Dana S. Nau, Michele Gelfand
2016	—	`conf`	resMBS: Constructing a Financial Supply Chain from Prospectus. DSMM@SIGMOD Douglas Burdick, Soham De, Louiqa Raschid, Mingchao Shao, Zheng Xu, Elena Zotkina
2015	C	`conf`	Layer-Specific Adaptive Learning Rates for Deep Networks. ICMLA Bharat Singh, Soham De, Yangmuzi Zhang, Thomas A. Goldstein, Gavin Taylor
2015	J	`jnl`	Layer-Specific Adaptive Learning Rates for Deep Networks. CoRR Bharat Singh, Soham De, Yangmuzi Zhang, Thomas A. Goldstein, Gavin Taylor
2015	J	`jnl`	Plagiarism Detection in Polyphonic Music using Monaural Signal Separation. CoRR Soham De, Indradyumna Roy, Tarunima Prabhakar, Kriti Suneja, Sourish Chaudhuri, Rita Singh, Bhiksha Raj
2015	J	`jnl`	Scaling Up Distributed Stochastic Gradient Descent Using Variance Reduction. CoRR Soham De, Gavin Taylor, Tom Goldstein
2015	J	`jnl`	Variance Reduction for Distributed Stochastic Gradient Descent. CoRR Soham De, Gavin Taylor, Tom Goldstein
2012	A	`conf`	Plagiarism Detection in Polyphonic Music using Monaural Signal Separation. INTERSPEECH Soham De, Indradyumna Roy, Tarunima Prabhakar, Kriti Suneja, Sourish Chaudhuri, Rita Singh, Bhiksha Raj
2011	—	`conf`	An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index. ReTIS Sailik Sengupta, Soham De, Amit Konar, Ramadoss Janarthanan