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08/29/2023
Large Language Models in Fault Localisation
Large Language Models (LLMs) have shown promise in multiple software eng...
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08/26/2023
Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator
Optical packet header recognition is an important signal processing task...
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08/23/2023
RemovalNet: DNN Fingerprint Removal Attacks
With the performance of deep neural networks (DNNs) remarkably improving...
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08/23/2023
Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression
Lossless floating-point time series compression is crucial for a wide ra...
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07/19/2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Modeling customer shopping intentions is a crucial task for e-commerce, ...
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07/05/2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
Generating an informative and attractive title for the product is a cruc...
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06/28/2023
Erasing-based lossless compression method for streaming floating-point time series
There are a prohibitively large number of floating-point time series dat...
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06/20/2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
Machine Learning as a Service (MLaaS) platforms have gained popularity d...
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06/02/2023
Knowledge Graph Reasoning over Entities and Numerical Values
A complex logic query in a knowledge graph refers to a query expressed i...
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06/01/2023
When Edge Computing Meets Compact Data Structures
Edge computing enables data processing and storage closer to where the d...
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06/01/2023
Characterizing the Cloud's Outbound Network Latency: An Experimental and Modeling Study
Cloud latency has critical influences on the success of cloud applicatio...
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05/30/2023
Graph Reasoning for Question Answering with Triplet Retrieval
Answering complex questions often requires reasoning over knowledge grap...
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05/26/2023
Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval
Image-Text Retrieval (ITR) is essentially a ranking problem. Given a que...
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05/19/2023
CCGen: Explainable Complementary Concept Generation in E-Commerce
We propose and study Complementary Concept Generation (CCGen): given a c...
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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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05/03/2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
Large language models (LMs) beyond a certain scale, demonstrate the emer...
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03/27/2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
This paper investigates cross-lingual temporal knowledge graph reasoning...
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03/08/2023
Distributed and Deep Vertical Federated Learning with Big Data
In recent years, data are typically distributed in multiple organization...
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03/03/2023
Rotation Invariant Quantization for Model Compression
Post-training Neural Network (NN) model compression is an attractive app...
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03/01/2023
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
Recently, a series of Image-Text Matching (ITM) methods achieve impressi...
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02/19/2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
Knowledge distillation has been shown to be a powerful model compression...
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12/20/2022
ReCode: Robustness Evaluation of Code Generation Models
Code generation models have achieved impressive performance. However, th...
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11/16/2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering
Few-Shot Text Classification (FSTC) imitates humans to learn a new text ...
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11/02/2022
Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges
Despite the fact that outside is becoming the frontier of indoor workpla...
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11/01/2022
On Kubernetes-aided Federated Database Systems
Cloud computing has made federated database systems (FDBS) significantly...
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11/01/2022
Academic Search Engines: Constraints, Bugs, and Recommendation
Background: Academic search engines (i.e., digital libraries and indexer...
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10/20/2022
Image-Text Retrieval with Binary and Continuous Label Supervision
Most image-text retrieval work adopts binary labels indicating whether a...
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10/16/2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
In this paper, we investigate a realistic but underexplored problem, cal...
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10/08/2022
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding
E-commerce query understanding is the process of inferring the shopping ...
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09/28/2022
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval
There are two popular loss functions used for vision-language retrieval,...
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09/20/2022
Quasi-Perron-Frobenius property of a class of saddle point matrices
The saddle point matrices arising from many scientific computing fields ...
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09/01/2022
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation
As its core computation, a self-attention mechanism gauges pairwise corr...
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08/30/2022
FDB: Fraud Dataset Benchmark
Standardized datasets and benchmarks have spurred innovations in compute...
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07/29/2022
Towards Reproducible Evaluations for Flying Drone Controllers in Virtual Environments
Research attention on natural user interfaces (NUIs) for drone flights a...
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06/15/2022
Condensing Graphs via One-Step Gradient Matching
As training deep learning models on large dataset takes a lot of time an...
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05/31/2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
Computer-aided diagnosis (CAD) can help pathologists improve diagnostic ...
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05/21/2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases ...
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04/07/2022
Accelerating Attention through Gradient-Based Learned Runtime Pruning
Self-attention is a key enabler of state-of-art accuracy for various tra...
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03/28/2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Predicting missing facts in a knowledge graph (KG) is crucial as modern ...
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03/21/2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...
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03/18/2022
Multi-Modal Causal Inference with Deep Structural Equation Models
Accounting for the effects of confounders is one of the central challeng...
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02/12/2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
With the increasing demands on e-commerce platforms, numerous user actio...
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01/24/2022
Just Enough, Just in Time, Just for "Me": Fundamental Principles for Engineering IoT-native Software Systems
By seamlessly integrating everyday objects and by changing the way we in...
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01/10/2022
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control
Driven by the key challenges of cell therapy manufacturing, including hi...
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11/27/2021
FQ-ViT: Fully Quantized Vision Transformer without Retraining
Network quantization significantly reduces model inference complexity an...
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10/10/2021
3D Object Detection Combining Semantic and Geometric Features from Point Clouds
In this paper, we investigate the combination of voxel-based methods and...
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08/19/2021
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
We study the problem of query attribute value extraction, which aims to ...
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08/04/2021
Online Knowledge Distillation for Efficient Pose Estimation
Existing state-of-the-art human pose estimation methods require heavy co...
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07/23/2021
OLR 2021 Challenge: Datasets, Rules and Baselines
This paper introduces the sixth Oriental Language Recognition (OLR) 2021...
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07/17/2021