Anshumali Shrivastava
Orcid: 0000-0002-5042-2856
According to our database1,
Anshumali Shrivastava
authored at least 153 papers
between 2011 and 2024.
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Bibliography
2024
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention.
CoRR, 2024
Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.
CoRR, 2024
2023
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.
CoRR, 2023
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.
CoRR, 2023
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware.
CoRR, 2023
A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Embed. Syst. Lett., 2022
CoRR, 2022
The trade-offs of model size in large recommendation models : A 10000 × compressed criteo-tb DLRM model (100 GB parameters to mere 10MB).
CoRR, 2022
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing.
CoRR, 2022
Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of Machine Learning and Systems 2022, 2022
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems.
Proceedings of Machine Learning and Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the International Conference on Machine Learning, 2022
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams.
Proceedings of the International Conference on Machine Learning, 2022
Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston.
CoRR, 2021
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks.
CoRR, 2021
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference.
CoRR, 2021
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More.
CoRR, 2021
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems.
CoRR, 2021
CoRR, 2021
Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions.
Artif. Intell., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO).
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More.
Proceedings of Machine Learning and Systems 2021, 2021
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
A One-Pass Distributed and Private Sketch for Kernel Sums with Applications to Machine Learning at Scale.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Distributed Tera-Scale Similarity Search with MPI: Provably Efficient Similarity Search over billions without a Single Distance Computation.
CoRR, 2020
Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems.
Proceedings of Machine Learning and Systems 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Robotics Autom. Lett., 2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation.
CoRR, 2019
CoRR, 2019
RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time.
CoRR, 2019
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems.
CoRR, 2019
RACE: Sub-Linear Memory Sketches for Approximate Near-Neighbor Search on Streaming Data.
CoRR, 2019
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network.
CoRR, 2019
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Training 100, 000 Classes on a Single Titan X in 7 Hours or 15 Minutes with 25 Titan Xs.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search.
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the Privacy in Statistical Databases, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Lsh-Sampling breaks the Computational chicken-and-egg Loop in adaptive stochastic Gradient estimation.
Proceedings of the 6th International Conference on Learning Representations, 2018
Jaccard Affiliation Graph (JAG) Model For Explaining Overlapping Community Behaviors.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
FLASH: Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search.
CoRR, 2017
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer.
CoRR, 2017
A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models.
CoRR, 2017
Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection via Cache Lookups.
CoRR, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Location detection for navigation using IMUs with a map through coarse-grained machine learning.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
2016
CoRR, 2016
2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search.
CoRR, 2016
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the NIPS 2016 Time Series Workshop, 2016
2015
Probabilistic Hashing Techniques for Big Data.
PhD thesis, 2015
Proceedings of the 24th International Conference on World Wide Web, 2015
Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS).
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Beyond Pairwise: Provably Fast Algorithms for Approximate <i>k</i>-Way Similarity Search.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013
2012
b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions.
CoRR, 2012
Proceedings of the 21st World Wide Web Conference, 2012
Proceedings of the 21st World Wide Web Conference, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)
CoRR, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011