Kangwook Lee

Trans. Mach. Learn. Res., 2024

Mini-Batch Optimization of Contrastive Loss.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Parameter-Efficient Fine-Tuning of State Space Models.

[BibT_eX]

[DOI]

CoRR, 2024

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.

[BibT_eX]

[DOI]

CoRR, 2024

ENTP: Encoder-only Next Token Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Looped Transformers for Length Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Buffer-based Gradient Projection for Continual Federated Learning.

[BibT_eX]

[DOI]

Shenghong Dai

Jy-yong Sohn

Yicong Chen

S. M. Iftekharul Alam

Ravikumar Balakrishnan

Suman Banerjee

Nageen Himayat

CoRR, 2024

Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks.

[BibT_eX]

[DOI]

CoRR, 2024

From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data.

[BibT_eX]

[DOI]

Zheyang Xiong

Vasilis Papageorgiou

CoRR, 2024

Can MLLMs Perform Text-to-Image In-Context Learning?

[BibT_eX]

[DOI]

CoRR, 2024

Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dual Operating Modes of In-Context Learning.

[BibT_eX]

[DOI]

Ziqian Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Expressive Power of Low-Rank Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Looped Transformers are Better at Learning Learning Algorithms.

[BibT_eX]

[DOI]

Liu Yang

Robert D. Nowak

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teaching Arithmetic to Small Transformers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Clustering Conditioned on Text Criteria.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization.

[BibT_eX]

[DOI]

CoRR, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Learning with Local Fairness Constraints.

[BibT_eX]

[DOI]

Hongxu Chen

Proceedings of the IEEE International Symposium on Information Theory, 2023

Improving Fair Training under Correlation Shifts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Looped Transformers as Programmable Computers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Optimizing DDPM Sampling with Shortcut Fine-Tuning.

[BibT_eX]

[DOI]

Ying Fan

Proceedings of the International Conference on Machine Learning, 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World.

[BibT_eX]

[DOI]

Shenghong Dai

S. M. Iftekharul Alam

Ravikumar Balakrishnan

Suman Banerjee

Nageen Himayat

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation.

[BibT_eX]

[DOI]

Gibbeum Lee

Volker Hartmann

Jongho Park

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Addendum and Erratum to "The MDS Queue: Analysing the Latency Performance of Erasure Codes".

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Outlier-Robust Group Inference via Gradient Space Clustering.

[BibT_eX]

[DOI]

Kristjan H. Greenewald

Justin Solomon

Mikhail Yurochkin

CoRR, 2022

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.

[BibT_eX]

[DOI]

Liu Yang

Jifan Zhang

Joseph Shenouda

Robert D. Nowak

CoRR, 2022

Rare Gems: Finding Lottery Tickets at Initialization.

[BibT_eX]

[DOI]

CoRR, 2022

Improved Input Reprogramming for GAN Conditioning.

[BibT_eX]

[DOI]

CoRR, 2022

Rare Gems: Finding Lottery Tickets at Initialization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance.

[BibT_eX]

[DOI]

Dohyun Kwon

Ying Fan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Debiasing Pre-Trained Language Models via Efficient Fine-Tuning.

[BibT_eX]

[DOI]

Michael Gira

Ruisu Zhang

Proceedings of the Second Workshop on Language Technology for Equality, 2022

Breaking Fair Binary Classification with Optimal Flipping Attacks.

[BibT_eX]

[DOI]

Changhun Jo

Jy-yong Sohn

Proceedings of the IEEE International Symposium on Information Theory, 2022

GenLabel: Mixup Relabeling using Generative Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Permutation-Based SGD: Is Random Optimal?

[BibT_eX]

[DOI]

Shashank Rajput

Proceedings of the Tenth International Conference on Learning Representations, 2022

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

The Roaming Edge and its Applications.

[BibT_eX]

[DOI]

Suman Banerjee

Remzi H. Arpaci-Dusseau

Shivaram Venkataraman

GetMobile Mob. Comput. Commun., 2021

Predicting vehicle collisions using data collected from video games.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2021

Improving Fairness via Federated Learning.

[BibT_eX]

[DOI]

Hongxu Chen

CoRR, 2021

Sample Selection for Fair and Robust Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradient Inversion with Generative Image Prior.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Gradient Communication via Critical Learning Regime Identification.

[BibT_eX]

[DOI]

Saurabh Agarwal

Hongyi Wang

Shivaram Venkataraman

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information.

[BibT_eX]

[DOI]

Changhun Jo

Proceedings of the 38th International Conference on Machine Learning, 2021

Coded-InvNet for Resilient Prediction Serving Systems.

[BibT_eX]

[DOI]

Tuan Dinh

Proceedings of the 38th International Conference on Machine Learning, 2021

FairBatch: Batch Selection for Model Fairness.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Applying the Deep Learning Method for Simulating Outcomes of Educational Interventions.

[BibT_eX]

[DOI]

Hyemin Han

Firat Soylu

SN Comput. Sci., 2020

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification.

[BibT_eX]

[DOI]

Saurabh Agarwal

Hongyi Wang

Shivaram Venkataraman

CoRR, 2020

Discrete-valued Preference Estimation with Graph Side Information.

[BibT_eX]

[DOI]

Changhun Jo

CoRR, 2020

Reprogramming GANs via Input Noise Design.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.

[BibT_eX]

[DOI]

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

FR-Train: A Mutual Information-Based Approach to Fair and Robust Training.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Community Recovery in Hypergraphs.

[BibT_eX]

[DOI]

Kwangjun Ahn

IEEE Trans. Inf. Theory, 2019

Synthesizing Differentially Private Datasets using Random Mixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Speeding Up Distributed Machine Learning Using Codes.

[BibT_eX]

[DOI]

Maximilian Lam

IEEE Trans. Inf. Theory, 2018

Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain.

[BibT_eX]

[DOI]

Hyemin Han

Firat Soylu

Knowl. Inf. Syst., 2018

Hypergraph Spectral Clustering in the Weighted Stochastic Block Model.

[BibT_eX]

[DOI]

Kwangjun Ahn

IEEE J. Sel. Top. Signal Process., 2018

Binary Rating Estimation with Graph Side Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Coding for Distributed Computing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Straggler-Proofing Massive-Scale Distributed Matrix Multiplication with D-Dimensional Product Codes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

SGD on Random Mixtures: Private Machine Learning under Data Breach Threats.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings.

[BibT_eX]

[DOI]

Hoon Kim

Proceedings of the 6th International Conference on Learning Representations, 2018

On the Joint Recovery of Community Structure and Community Features.

[BibT_eX]

[DOI]

Jisang Yoon

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

On Scheduling Redundant Requests With Cancellation Overheads.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2017

PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

The MDS Queue: Analysing the Latency Performance of Erasure Codes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

High-dimensional coded matrix multiplication.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Coded computation for multicore setups.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Information-theoretic limits of subspace clustering.

[BibT_eX]

[DOI]

Kwangjun Ahn

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

Matrix sparsification for coded matrix multiplication.

[BibT_eX]

[DOI]

Geewon Suh

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Speeding up distributed storage and computing systems using codes.

[BibT_eX]

[DOI]

Kang Wook Lee

PhD thesis, 2016

When Do Redundant Requests Reduce Latency?

[BibT_eX]

[DOI]

Nihar B. Shah

IEEE Trans. Commun., 2016

SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Fast and robust compressive phase retrieval with sparse-graph codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Capacity-approaching PhaseCode for low-complexity compressive phase retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Sparse covariance estimation based on sparse-graph codes.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

The MDS queue: Analysing the latency performance of erasure codes.

[BibT_eX]

[DOI]

Nihar B. Shah

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

PhaseCode: Fast and efficient compressive phase retrieval based on sparse-graph codes.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

A VoD System for Massively Scaled, Heterogeneous Environments: Design and Implementation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

2012

The MDS Queue

[BibT_eX]

[DOI]

Nihar B. Shah