More from the Same Authors

• 2021 : Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization »
  Jacob Nogas · Arghavan Modiri · · Sofia Villar · Audrey Durand · Anna Rafferty · Joseph Williams
• 2021 : One Pass ImageNet »
  Clara Huiyi Hu · Ang Li · Daniele Calandriello · Dilan Gorur
• 2022 : Do Current Multi-Task Optimization Methods in Deep Learning Even Help? »
  Derrick Xin · Behrooz Ghorbani · Dami Choi · Ankush Garg · Orhan Firat · Justin Gilmer
• 2022 : The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning »
  Chuan Guo · Kamalika Chaudhuri · Pierre STOCK · Mike Rabbat
• 2022 : Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets »
  JONAS NGNAWE · Marianne ABEMGNIGNI NJIFON · Jonathan Heek · Yann Dauphin
• 2022 : Forgetting Data from Pre-trained GANs »
  Zhifeng Kong · Kamalika Chaudhuri
• 2022 : Panel Discussion »
  Kamalika Chaudhuri · Been Kim · Dorsa Sadigh · Huan Zhang · Linyi Li
• 2022 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2022 Workshop: INTERPOLATE — First Workshop on Interpolation Regularizers and Beyond »
  Yann Dauphin · David Lopez-Paz · Vikas Verma · Boyi Li
• 2022 Poster: Do Current Multi-Task Optimization Methods in Deep Learning Even Help? »
  Derrick Xin · Behrooz Ghorbani · Justin Gilmer · Ankush Garg · Orhan Firat
• 2021 : Facebook - Data Centric Infrastructure »
  Douwe Kiela
• 2021 Workshop: Privacy in Machine Learning (PriML) 2021 »
  Yu-Xiang Wang · Borja Balle · Giovanni Cherubin · Kamalika Chaudhuri · Antti Honkela · Jonathan Lebensold · Casey Meehan · Mi Jung Park · Adrian Weller · Yuqing Zhu
• 2021 Poster: Understanding Instance-based Interpretability of Variational Auto-Encoders »
  Zhifeng Kong · Kamalika Chaudhuri
• 2021 Poster: True Few-Shot Learning with Language Models »
  Ethan Perez · Douwe Kiela · Kyunghyun Cho
• 2021 : Invited talk - Douwe Kiela »
  Douwe Kiela
• 2021 Poster: Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking »
  Zhiyi Ma · Kawin Ethayarajh · Tristan Thrush · Somya Jain · Ledell Wu · Robin Jia · Christopher Potts · Adina Williams · Douwe Kiela
• 2021 : Introduction Competion Day 1 »
  Douwe Kiela
• 2021 Poster: Human-Adversarial Visual Question Answering »
  Sasha Sheng · Amanpreet Singh · Vedanuj Goswami · Jose Magana · Tristan Thrush · Wojciech Galuba · Devi Parikh · Douwe Kiela
• 2021 Poster: Consistent Non-Parametric Methods for Maximizing Robustness »
  Robi Bhattacharjee · Kamalika Chaudhuri
• 2020 : Q & A and Panel Session with Dan Weld, Kristen Grauman, Scott Yih, Emma Brunskill, and Alex Ratner »
  Kristen Grauman · Wen-tau Yih · Alexander Ratner · Emma Brunskill · Douwe Kiela · Daniel S. Weld
• 2020 Workshop: HAMLETS: Human And Model in the Loop Evaluation and Training Strategies »
  Divyansh Kaushik · Bhargavi Paranjape · Forough Arabshahi · Yanai Elazar · Yixin Nie · Max Bartolo · Polina Kirichenko · Pontus Lars Erik Saito Stenetorp · Mohit Bansal · Zachary Lipton · Douwe Kiela
• 2020 : Opening Remarks »
  Divyansh Kaushik · Bhargavi Paranjape · Douwe Kiela
• 2020 : The Hateful Memes Challenge: Live award ceremony and winner presentations »
  Douwe Kiela
• 2020 : The Hateful Memes Challenge: Competition Overview »
  Douwe Kiela
• 2020 Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition »
  Borja Balle · James Bell · Aurélien Bellet · Kamalika Chaudhuri · Adria Gascon · Antti Honkela · Antti Koskela · Casey Meehan · Olga Ohrimenko · Mi Jung Park · Mariana Raykova · Mary Anne Smart · Yu-Xiang Wang · Adrian Weller
• 2020 Poster: A Closer Look at Accuracy vs. Robustness »
  Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri
• 2020 Poster: The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes »
  Douwe Kiela · Hamed Firooz · Aravind Mohan · Vedanuj Goswami · Amanpreet Singh · Pratik Ringshia · Davide Testuggine
• 2020 Poster: A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs »
  Nevena Lazic · Dong Yin · Mehrdad Farajtabar · Nir Levine · Dilan Gorur · Chris Harris · Dale Schuurmans
• 2020 Poster: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks »
  Patrick Lewis · Ethan Perez · Aleksandra Piktus · Fabio Petroni · Vladimir Karpukhin · Naman Goyal · Heinrich Küttler · Mike Lewis · Wen-tau Yih · Tim Rocktäschel · Sebastian Riedel · Douwe Kiela
• 2020 Poster: Learning Optimal Representations with the Decodable Information Bottleneck »
  Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam
• 2020 Spotlight: Learning Optimal Representations with the Decodable Information Bottleneck »
  Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam
• 2019 : Kamalika Chaudhuri - A Three Sample Test to Detect Data Copying in Generative Models »
  Kamalika Chaudhuri
• 2019 : Audrey Durand - Trading off theory and practice: A bandit perspective »
  Audrey Durand
• 2019 : Douwe Kiela - Benchmarking Progress in AI: A New Benchmark for Natural Language Understanding »
  Douwe Kiela
• 2019 Workshop: Emergent Communication: Towards Natural Language »
  Abhinav Gupta · Michael Noukhovitch · Cinjon Resnick · Natasha Jaques · Angelos Filos · Marie Ossenkopf · Angeliki Lazaridou · Jakob Foerster · Ryan Lowe · Douwe Kiela · Kyunghyun Cho
• 2019 Workshop: Privacy in Machine Learning (PriML) »
  Borja Balle · Kamalika Chaudhuri · Antti Honkela · Antti Koskela · Casey Meehan · Mi Jung Park · Mary Anne Smart · Mary Anne Smart · Adrian Weller
• 2019 Poster: The Label Complexity of Active Learning from Observational Data »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2019 Poster: Hyperbolic Graph Neural Networks »
  Qi Liu · Maximilian Nickel · Douwe Kiela
• 2019 Poster: MetaInit: Initializing learning by learning to initialize »
  Yann Dauphin · Samuel Schoenholz
• 2019 Poster: GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism »
  Yanping Huang · Youlong Cheng · Ankur Bapna · Orhan Firat · Dehao Chen · Mia Chen · HyoukJoong Lee · Jiquan Ngiam · Quoc V Le · Yonghui Wu · zhifeng Chen
• 2019 Poster: Capacity Bounded Differential Privacy »
  Kamalika Chaudhuri · Jacob Imola · Ashwin Machanavajjhala
• 2018 : Coffee break + posters 2 »
  Jan Kremer · Erik McDermott · Brandon Carter · Albert Zeyer · Andreas Krug · Paul Pu Liang · Katherine Lee · Dominika Basaj · Abelino Jimenez · Lisa Fan · Gautam Bhattacharya · Tzeviya S Fuchs · David Gifford · Loren Lugosch · Orhan Firat · Benjamin Baer · JAHANGIR ALAM · Jamin Shin · Mirco Ravanelli · Paul Smolensky · Zining Zhu · Hamid Eghbal-zadeh · Skyler Seto · Imran Sheikh · Joao Felipe Santos · Yonatan Belinkov · Nadir Durrani · Oiwi Parker Jones · Shuai Tang · André Merboldt · Titouan Parcollet · Wei-Ning Hsu · Krishna Pillutla · Ehsan Hosseini-Asl · Monica Dinculescu · Alexander Amini · Ying Zhang · Taoli Cheng · Alain Tapp
• 2018 : Invited talk 3: Challenges in the Privacy-Preserving Analysis of Structured Data »
  Kamalika Chaudhuri
• 2018 : Plenary Talk 2 »
  Kamalika Chaudhuri
• 2018 : Coffee break + posters 1 »
  Samuel Myer · Wei-Ning Hsu · Jialu Li · Monica Dinculescu · Lea Schönherr · Ehsan Hosseini-Asl · Skyler Seto · Oiwi Parker Jones · Imran Sheikh · Thomas Manzini · Yonatan Belinkov · Nadir Durrani · Alexander Amini · Johanna Hansen · Gabi Shalev · Jamin Shin · Paul Smolensky · Lisa Fan · Zining Zhu · Hamid Eghbal-zadeh · Benjamin Baer · Abelino Jimenez · Joao Felipe Santos · Jan Kremer · Erik McDermott · Andreas Krug · Tzeviya S Fuchs · Shuai Tang · Brandon Carter · David Gifford · Albert Zeyer · André Merboldt · Krishna Pillutla · Katherine Lee · Titouan Parcollet · Orhan Firat · Gautam Bhattacharya · JAHANGIR ALAM · Mirco Ravanelli
• 2018 Workshop: Emergent Communication Workshop »
  Jakob Foerster · Angeliki Lazaridou · Ryan Lowe · Igor Mordatch · Douwe Kiela · Kyunghyun Cho
• 2018 : Panel Discussion »
  Antonio Torralba · Douwe Kiela · Barbara Landau · Angeliki Lazaridou · Joyce Chai · Christopher Manning · Stevan Harnad · Roozbeh Mottaghi
• 2018 : Douwe Kiela - Learning Multimodal Embeddings »
  Douwe Kiela
• 2018 Workshop: Workshop on Security in Machine Learning »
  Nicolas Papernot · Jacob Steinhardt · Matt Fredrikson · Kamalika Chaudhuri · Florian Tramer
• 2017 Workshop: Emergent Communication Workshop »
  Jakob Foerster · Igor Mordatch · Angeliki Lazaridou · Kyunghyun Cho · Douwe Kiela · Pieter Abbeel
• 2017 : Analyzing Robustness of Nearest Neighbors to Adversarial Examples »
  Kamalika Chaudhuri
• 2017 Poster: Renyi Differential Privacy Mechanisms for Posterior Sampling »
  Joseph Geumlek · Shuang Song · Kamalika Chaudhuri
• 2017 Poster: Approximation and Convergence Properties of Generative Adversarial Learning »
  Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
• 2017 Spotlight: Approximation and Convergence Properties of Generative Adversarial Learning »
  Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
• 2017 Poster: Poincaré Embeddings for Learning Hierarchical Representations »
  Maximilian Nickel · Douwe Kiela
• 2017 Spotlight: Poincaré Embeddings for Learning Hierarchical Representations »
  Maximilian Nickel · Douwe Kiela
• 2017 Tutorial: Differentially Private Machine Learning: Theory, Algorithms and Applications »
  Kamalika Chaudhuri · Anand D Sarwate
• 2016 Poster: Active Learning from Imperfect Labelers »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2015 : Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2015 Workshop: Non-convex Optimization for Machine Learning: Theory and Practice »
  Anima Anandkumar · Niranjan Uma Naresh · Kamalika Chaudhuri · Percy Liang · Sewoong Oh
• 2015 Poster: Active Learning from Weak and Strong Labelers »
  Chicheng Zhang · Kamalika Chaudhuri
• 2015 Poster: Spectral Learning of Large Structured HMMs for Comparative Epigenomics »
  Chicheng Zhang · Jimin Song · Kamalika Chaudhuri · Kevin Chen
• 2015 Poster: Convergence Rates of Active Learning for Maximum Likelihood Estimation »
  Kamalika Chaudhuri · Sham Kakade · Praneeth Netrapalli · Sujay Sanghavi
• 2014 Workshop: Personalization: Methods and Applications »
  Yisong Yue · Khalid El-Arini · Dilan Gorur
• 2014 Poster: Beyond Disagreement-Based Agnostic Active Learning »
  Chicheng Zhang · Kamalika Chaudhuri
• 2014 Poster: Rates of Convergence for Nearest Neighbor Classification »
  Kamalika Chaudhuri · Sanjoy Dasgupta
• 2014 Spotlight: Beyond Disagreement-Based Agnostic Active Learning »
  Chicheng Zhang · Kamalika Chaudhuri
• 2014 Spotlight: Rates of Convergence for Nearest Neighbor Classification »
  Kamalika Chaudhuri · Sanjoy Dasgupta
• 2014 Poster: The Large Margin Mechanism for Differentially Private Maximization »
  Kamalika Chaudhuri · Daniel Hsu · Shuang Song
• 2013 Workshop: What Difference Does Personalization Make? »
  Dilan Gorur · Romer Rosales · Olivier Chapelle · Dorota Glowacka
• 2013 Poster: A Stability-based Validation Procedure for Differentially Private Machine Learning »
  Kamalika Chaudhuri · Staal A Vinterbo
• 2012 Poster: Near-optimal Differentially Private Principal Components »
  Kamalika Chaudhuri · Anand D Sarwate · Kaushik Sinha
• 2011 Poster: Spectral Methods for Learning Multivariate Latent Tree Structure »
  Anima Anandkumar · Kamalika Chaudhuri · Daniel Hsu · Sham M Kakade · Le Song · Tong Zhang
• 2010 Poster: Rates of convergence for the cluster tree »
  Kamalika Chaudhuri · Sanjoy Dasgupta
• 2009 Workshop: Nonparametric Bayes »
  Dilan Gorur · Francois Caron · Yee Whye Teh · David B Dunson · Zoubin Ghahramani · Michael Jordan
• 2009 Poster: A Parameter-free Hedging Algorithm »
  Kamalika Chaudhuri · Yoav Freund · Daniel Hsu
• 2009 Poster: Indian Buffet Processes with Power-law Behavior »
  Yee Whye Teh · Dilan Gorur
• 2009 Spotlight: Indian Buffet Processes with Power-law Behavior »
  Yee Whye Teh · Dilan Gorur
• 2008 Poster: Dependent Dirichlet Process Spike Sorting »
  Jan Gasthaus · Frank Wood · Dilan Gorur · Yee Whye Teh
• 2008 Poster: Privacy-preserving logistic regression »
  Kamalika Chaudhuri · Claire Monteleoni
• 2008 Poster: An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering »
  Dilan Gorur · Yee Whye Teh