Manzil Zaheer

Orcid: 0000-0001-7092-8515

According to our database1, Manzil Zaheer authored at least 111 papers between 2011 and 2024.

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Bibliography

2024
Incremental Extractive Opinion Summarization Using Cover Trees.
CoRR, 2024

2023
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.
CoRR, 2023

Functional Interpolation for Relative Positions Improves Long Context Transformers.
CoRR, 2023

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.
CoRR, 2023

Can Public Large Language Models Help Private Cross-device Federated Learning?
CoRR, 2023

Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders.
CoRR, 2023

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.
CoRR, 2023

ResMem: Learn what you can and memorize the rest.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Level-wise Hierarchical Clustering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Task Off-Policy Learning from Bandit Feedback.
Proceedings of the International Conference on Machine Learning, 2023

A Statistical Perspective on Retrieval-Based Models.
Proceedings of the International Conference on Machine Learning, 2023

Teacher Guided Training: An Efficient Framework for Knowledge Transfer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Differentially Private Adaptive Optimization with Delayed Preconditioners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Machine Reading Comprehension using Case-based Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Longtonotes: OntoNotes with Longer Coreference Chains.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Large Language Models with Controllable Working Memory.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Large Language Models with Controllable Working Memory.
CoRR, 2022

Generalization Properties of Retrieval-based Models.
CoRR, 2022

Questions Are All You Need to Train a Dense Passage Retriever.
CoRR, 2022

Compositional Generalization and Decomposition in Neural Program Synthesis.
CoRR, 2022

Learning to Navigate Wikipedia by Taking Random Walks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Fourier Approach to Mixture Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models.
Proceedings of the International Conference on Machine Learning, 2022

Deep Hierarchy in Bandits.
Proceedings of the International Conference on Machine Learning, 2022

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.
Proceedings of the International Conference on Machine Learning, 2022

Private Adaptive Optimization with Side information.
Proceedings of the International Conference on Machine Learning, 2022

Robust Training of Neural Networks Using Scale Invariant Architectures.
Proceedings of the International Conference on Machine Learning, 2022

A Context-Integrated Transformer-Based Neural Network for Auction Design.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Thompson Sampling with a Mixture Prior.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Hierarchical Bayesian Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models.
CoRR, 2021

A Field Guide to Federated Optimization.
CoRR, 2021

Model-Agnostic Graph Regularization for Few-Shot Learning.
CoRR, 2021

Exact and approximate hierarchical clustering using A.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

No Regrets for Learning the Prior in Bandits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Open-Ended Commonsense Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Scalable Hierarchical Agglomerative Clustering.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Federated Composite Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Meta-Thompson Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

Latent Programmer: Discrete Latent Codes for Program Synthesis.
Proceedings of the 38th International Conference on Machine Learning, 2021

Adaptive Federated Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies.
Proceedings of the 9th International Conference on Learning Representations, 2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Sketch based Memory for Neural Networks.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

DAG-Structured Clustering by Nearest Neighbors.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Non-Stationary Off-Policy Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Scaling Within Document Coreference to Long Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Non-Stationary Latent Bandits.
CoRR, 2020

Modifying Memories in Transformer Models.
CoRR, 2020

Scalable Bottom-Up Hierarchical Clustering.
CoRR, 2020

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.
CoRR, 2020

Piecewise-Stationary Off-Policy Optimization.
CoRR, 2020

Differentiable Meta-Learning in Contextual Bandits.
CoRR, 2020

Anchor & Transform: Learning Sparse Representations of Discrete Objects.
CoRR, 2020

Towards Modular Algorithm Induction.
CoRR, 2020

Differentiable Bandit Exploration.
CoRR, 2020

Big Bird: Transformers for Longer Sequences.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PLLay: Efficient Topological Layer based on Persistent Landscapes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Latent Bandits Revisited.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiable Meta-Learning of Bandit Policies.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust large-margin learning in hyperbolic space.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Optimization in Heterogeneous Networks.
Proceedings of Machine Learning and Systems 2020, 2020

Differentiable Reasoning over a Virtual Knowledge Base.
Proceedings of the 8th International Conference on Learning Representations, 2020

Probabilistic Case-based Reasoning in Knowledge Bases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Simple Approach to Case-Based Reasoning in Knowledge Bases.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Randomized Exploration in Generalized Linear Bandits.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Exchangeable Generative Models with Flow Scans.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Developing Creative AI to Generate Sculptural Objects.
CoRR, 2019

The Myths of Our Time: Fake News.
CoRR, 2019

Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Point Cloud GAN.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Gradient Free and Projection Free Stochastic Optimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

FedDANE: A Federated Newton-Type Method.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
On the Convergence of Federated Optimization in Heterogeneous Networks.
CoRR, 2018

Hallucinating Point Cloud into 3D Sculptural Object.
CoRR, 2018

Adaptive Methods for Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Nonparametric Density Estimation under Adversarial Losses.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Transformation Autoregressive Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Compressed Video Action Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Investigating the Working of Text Classifiers.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Generic Approach for Escaping Saddle points.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
State Space LSTM Models with Particle MCMC Inference.
CoRR, 2017

Spectral Methods for Nonparametric Models.
CoRR, 2017

Deep Sets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Canopy Fast Sampling with Cover Trees.
Proceedings of the 34th International Conference on Machine Learning, 2017

Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data.
Proceedings of the 34th International Conference on Machine Learning, 2017

Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

mTunes: efficient post-silicon tuning of mixed-signal/RF integrated circuits based on Markov decision process.
Proceedings of the 52nd Annual Design Automation Conference, 2015

Preferential Attachment in Graphs with Affinities.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Gaussian LDA for Topic Models with Word Embeddings.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Multiple-Population Moment Estimation: Exploiting Interpopulation Correlation for Efficient Moment Estimation in Analog/Mixed-Signal Validation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

Multiple-Population Moment Estimation: Exploiting Inter-Population Correlation for Efficient Moment Estimation in Analog/Mixed-Signal Validation.
CoRR, 2014

MPME-DP: multi-population moment estimation via dirichlet process for efficient validation of analog/mixed-signal circuits.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

2012
Electric appliance classification based on distributed high resolution current sensing.
Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

Primary side control based inductively coupled powering scheme for biomedical implants.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
SmartMeter.KOM: A low-cost wireless sensor for distributed power metering.
Proceedings of the IEEE 36th Conference on Local Computer Networks, 2011


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