Manzil Zaheer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
70
Venues
17
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
70 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Efficient Distributed Optimization under Heavy-Tailed Noise. | Su Hyeong Lee, Manzil Zaheer, Tian Li |
| 2024 | EMNLP | Analysis of Plan-based Retrieval for Grounded Text Generation. | Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer |
| 2024 | ICLR | Functional Interpolation for Relative Positions improves Long Context Transformers. | Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontan, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli |
| 2024 | ICLR | ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. | Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton |
| 2024 | ICLR | Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. | Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum |
| 2024 | ICML | A Statistical Framework for Data-dependent Retrieval-Augmented Models. | Soumya Basu, Ankit Singh Rawat, Manzil Zaheer |
| 2024 | ICML | USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. | Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar |
| 2024 | ICML | A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. | Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer |
| 2024 | NAACL | Can Public Large Language Models Help Private Cross-device Federated Learning? | Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer |
| 2023 | ACL | Large Language Models with Controllable Working Memory. | Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar |
| 2023 | AISTATS | Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining. | Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew McCallum |
| 2023 | EACL | Longtonotes: OntoNotes with Longer Coreference Chains. | Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan |
| 2023 | EMNLP | Machine Reading Comprehension using Case-based Reasoning. | Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum |
| 2023 | EMNLP | Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition. | Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum |
| 2023 | ICLR | Differentially Private Adaptive Optimization with Delayed Preconditioners. | Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith |
| 2023 | ICLR | Teacher Guided Training: An Efficient Framework for Knowledge Transfer. | Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar |
| 2023 | ICML | A Statistical Perspective on Retrieval-Based Models. | Soumya Basu, Ankit Singh Rawat, Manzil Zaheer |
| 2023 | ICML | Multi-Task Off-Policy Learning from Bandit Feedback. | Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh |
| 2023 | KDD | Online Level-wise Hierarchical Clustering. | Nicholas Monath, Manzil Zaheer, Andrew McCallum |
| 2022 | AISTATS | Hierarchical Bayesian Bandits. | Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh |
| 2022 | AISTATS | Thompson Sampling with a Mixture Prior. | Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier |
| 2022 | EMNLP | Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. | Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum |
| 2022 | ICML | A Context-Integrated Transformer-Based Neural Network for Auction Design. | Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng |
| 2022 | ICML | Robust Training of Neural Networks Using Scale Invariant Architectures. | Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar |
| 2022 | ICML | Private Adaptive Optimization with Side information. | Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith |
| 2022 | ICML | Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. | Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum |
| 2022 | ICML | Deep Hierarchy in Bandits. | Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh |
| 2022 | ICML | StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. | Adam Liska, Toms Kocisk, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou |
| 2021 | AAAI | Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. | Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed |
| 2021 | ACL | Scaling Within Document Coreference to Long Texts. | Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum |
| 2021 | AISTATS | Non-Stationary Off-Policy Optimization. | Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed |
| 2021 | AISTATS | DAG-Structured Clustering by Nearest Neighbors. | Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum |
| 2021 | AISTATS | Sketch based Memory for Neural Networks. | Rina Panigrahy, Xin Wang, Manzil Zaheer |
| 2021 | EMNLP | Case-based Reasoning for Natural Language Queries over Knowledge Bases. | Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum |
| 2021 | ICLR | Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies. | Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed |
| 2021 | ICLR | Adaptive Federated Optimization. | Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecn, Sanjiv Kumar, Hugh Brendan McMahan |
| 2021 | ICML | Latent Programmer: Discrete Latent Codes for Program Synthesis. | Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer |
| 2021 | ICML | Meta-Thompson Sampling. | Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvri |
| 2021 | ICML | Federated Composite Optimization. | Honglin Yuan, Manzil Zaheer, Sashank J. Reddi |
| 2021 | KDD | Scalable Hierarchical Agglomerative Clustering. | Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gkhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2021 | NAACL | Differentiable Open-Ended Commonsense Reasoning. | Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen |
| 2021 | UAI | Exact and approximate hierarchical clustering using A. | Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum |
| 2020 | AAAI | Exchangeable Generative Models with Flow Scans. | Christopher M. Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Junier Oliva, Manzil Zaheer |
| 2020 | AISTATS | Randomized Exploration in Generalized Linear Bandits. | Branislav Kveton, Manzil Zaheer, Csaba Szepesvri, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier |
| 2020 | EMNLP | Probabilistic Case-based Reasoning in Knowledge Bases. | Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum |
| 2020 | ICLR | Differentiable Reasoning over a Virtual Knowledge Base. | Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen |
| 2019 | AAAI | Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. | Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov |
| 2019 | ACSSC | FedDANE: A Federated Newton-Type Method. | Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith |
| 2019 | AISTATS | Towards Gradient Free and Projection Free Stochastic Optimization. | Anit Kumar Sahu, Manzil Zaheer, Soummya Kar |
| 2019 | ICLR | Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. | Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum |
| 2019 | ICLR | Point Cloud GAN. | Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabs Pczos, Ruslan Salakhutdinov |
| 2019 | KDD | Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. | Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed |
| 2019 | WSDM | Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. | Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee |
| 2018 | AISTATS | A Generic Approach for Escaping Saddle points. | Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabs Pczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola |
| 2018 | COLING | Investigating the Working of Text Classifiers. | Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov |
| 2018 | CVPR | Compressed Video Action Recognition. | Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krhenbhl |
| 2018 | EMNLP | Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. | Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen |
| 2018 | ICLR | Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. | Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum |
| 2018 | ICML | Transformation Autoregressive Networks. | Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabs Pczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider |
| 2017 | ACL | Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. | Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum |
| 2017 | ICML | Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data. | Manzil Zaheer, Amr Ahmed, Alexander J. Smola |
| 2017 | ICML | Canopy Fast Sampling with Cover Trees. | Manzil Zaheer, Satwik Kottur, Amr Ahmed, Jos M. F. Moura, Alexander J. Smola |
| 2016 | AISTATS | Exponential Stochastic Cellular Automata for Massively Parallel Inference. | Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alexander J. Smola, Guy L. Steele Jr. |
| 2015 | ACL | Gaussian LDA for Topic Models with Word Embeddings. | Rajarshi Das, Manzil Zaheer, Chris Dyer |
| 2015 | AISTATS | Preferential Attachment in Graphs with Affinities. | Jay Lee, Manzil Zaheer, Stephan Gnnemann, Alexander J. Smola |
| 2015 | DAC | mTunes: efficient post-silicon tuning of mixed-signal/RF integrated circuits based on Markov decision process. | Manzil Zaheer, Fa Wang, Chenjie Gu, Xin Li |
| 2015 | ICCAD | Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information. | Fa Wang, Manzil Zaheer, Xin Li, Jean-Olivier Plouchart, Alberto Valdes-Garcia |
| 2014 | ICCAD | MPME-DP: multi-population moment estimation via dirichlet process for efficient validation of analog/mixed-signal circuits. | Manzil Zaheer, Xin Li, Chenjie Gu |
| 2012 | LCN | Electric appliance classification based on distributed high resolution current sensing. | Andreas Reinhardt, Dominic Burkhardt, Manzil Zaheer, Ralf Steinmetz |
| 2011 | LCN | SmartMeter.KOM: A low-cost wireless sensor for distributed power metering. | Andreas Reinhardt, Dominic Burkhardt, Parag S. Mogre, Manzil Zaheer, Ralf Steinmetz |