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07/12/2023
Mini-Batch Optimization of Contrastive Loss
Contrastive learning has gained significant attention as a method for se...
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01/30/2023
Looped Transformers as Programmable Computers
We present a framework for using transformer networks as universal compu...
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10/13/2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Devising a fair classifier that does not discriminate against different ...
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06/14/2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Fine-tuning pretrained language models (LMs) without making any architec...
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05/23/2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
Word translation without parallel corpora has become feasible, rivaling ...
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04/12/2022
Breaking Fair Binary Classification with Optimal Flipping Attacks
Minimizing risk with fairness constraints is one of the popular approach...
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02/24/2022
Rare Gems: Finding Lottery Tickets at Initialization
It has been widely observed that large neural networks can be pruned to ...
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01/07/2022
GenLabel: Mixup Relabeling using Generative Models
Mixup is a data augmentation method that generates new data points by mi...
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10/18/2021
Finding Everything within Random Binary Networks
A recent work by Ramanujan et al. (2020) provides significant empirical ...
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12/10/2020
Communication-Computation Efficient Secure Aggregation for Federated Learning
Federated learning has been spotlighted as a way to train neural network...
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07/09/2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Due to its decentralized nature, Federated Learning (FL) lends itself to...
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10/14/2019
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Recent advances in large-scale distributed learning algorithms have enab...
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01/16/2019
Coded Matrix Multiplication on a Group-Based Model
Coded distributed computing has been considered as a promising technique...
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01/11/2019
Coded Distributed Computing over Packet Erasure Channels
Coded computation is a framework which provides redundancy in distribute...
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01/15/2018
Hierarchical Coding for Distributed Computing
Coding for distributed computing supports low-latency computation by rel...
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01/08/2018
Explicit Construction of MBR Codes for Clustered Distributed Storage
Capacity of the distributed storage system (DSS) is often discussed in t...
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01/06/2018
