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06/29/2023
Towards Optimal Randomized Strategies in Adversarial Example Game
The vulnerability of deep neural network models to adversarial example a...
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05/25/2023
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training
Deep learning is experiencing a rise in foundation models that are expec...
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10/18/2022
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning
Existing zero-shot cross-lingual transfer methods rely on parallel corpo...
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09/19/2022
SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision
The latest industrial inference engines, such as FasterTransformer1 and ...
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09/13/2022
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
Previous studies have proved that cross-lingual knowledge distillation c...
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09/12/2022
CSL: A Large-scale Chinese Scientific Literature Dataset
Scientific literature serves as a high-quality corpus, supporting a lot ...
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06/10/2022
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models
Foundation models are becoming the dominant deep learning technologies. ...
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02/14/2022
Semantic Matching from Different Perspectives
In this paper, we pay attention to the issue which is usually overlooked...
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02/06/2022
SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm
Graph matching finds the correspondence of nodes across two correlated g...
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11/12/2021
Approximating Optimal Transport via Low-rank and Sparse Factorization
Optimal transport (OT) naturally arises in a wide range of machine learn...
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09/04/2021
Understanding TEE Containers, Easy to Use? Hard to Trust
As an emerging technique for confidential computing, trusted execution e...
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08/04/2021
Dynamic Relevance Learning for Few-Shot Object Detection
Expensive bounding-box annotations have limited the development of objec...
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07/26/2021
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework
Trusted execution environments (TEE) such as Intel's Software Guard Exte...
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03/29/2021
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Pre-training models such as BERT have achieved great success in many nat...
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12/02/2020
Partial Gromov-Wasserstein Learning for Partial Graph Matching
Graph matching finds the correspondence of nodes across two graphs and i...
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07/20/2020
Confidential Attestation: Efficient in-Enclave Verification of Privacy Policy Compliance
A trusted execution environment (TEE) such as Intel Software Guard Exten...
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04/05/2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Pre-trained language models like BERT have proven to be highly performan...
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10/31/2019
A Decentralized Proximal Point-type Method for Saddle Point Problems
In this paper, we focus on solving a class of constrained non-convex non...
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09/17/2019
