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09/21/2023
A Chinese Prompt Attack Dataset for LLMs with Evil Content
Large Language Models (LLMs) present significant priority in text unders...
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08/21/2023
Instruction Tuning for Large Language Models: A Survey
This paper surveys research works in the quickly advancing field of inst...
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08/16/2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series
Learning directed acyclic graphs (DAGs) to identify causal relations und...
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07/19/2023
DisCover: Disentangled Music Representation Learning for Cover Song Identification
In the field of music information retrieval (MIR), cover song identifica...
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07/16/2023
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer
Image retrieval-based cross-view localization methods often lead to very...
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06/16/2023
Pushing the Limits of ChatGPT on NLP Tasks
Despite the success of ChatGPT, its performances on most NLP tasks are s...
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05/25/2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Domain generalization (DG) is a prevalent problem in real-world applicat...
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05/15/2023
Text Classification via Large Language Models
Despite the remarkable success of large-scale Language Models (LLMs) suc...
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05/04/2023
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
Building benchmarks to systemically analyze different capabilities of vi...
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04/28/2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
Universal Information Extraction (UIE) is an area of interest due to the...
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04/20/2023
GPT-NER: Named Entity Recognition via Large Language Models
Despite the fact that large-scale Language Models (LLM) have achieved SO...
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04/13/2023
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary
Set-based face recognition (SFR) aims to recognize the face sets in the ...
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02/14/2023
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System
Recommendation systems have shown great potential to solve the informati...
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02/13/2023
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
In recommendation scenarios, there are two long-standing challenges, i.e...
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01/22/2023
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding
Temporal grounding is the task of locating a specific segment from an un...
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12/22/2022
Depth Estimation maps of lidar and stereo images
This paper as technology report is focusing on evaluation and performanc...
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12/22/2022
Group Sparse Coding for Image Denoising
Group sparse representation has shown promising results in image debulrr...
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12/21/2022
CNN waste classification project report
This report is about waste management project. We used CNN as classifier...
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12/20/2022
ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion
Level 5 Autonomous Driving, a technology that a fully automated vehicle ...
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12/12/2022
Instrumental Variables in Causal Inference and Machine Learning: A Survey
Causal inference is the process of using assumptions, study designs, and...
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12/04/2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
The success of deep learning is partly attributed to the availability of...
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11/18/2022
Confounder Balancing for Instrumental Variable Regression with Latent Variable
This paper studies the confounding effects from the unmeasured confounde...
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11/15/2022
Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction
Given the fact description text of a legal case, legal judgment predicti...
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10/25/2022
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
Estimates of individual treatment effects from networked observational d...
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10/16/2022
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
The aim of Logic2Text is to generate controllable and faithful texts con...
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09/12/2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Device Model Generalization (DMG) is a practical yet under-investigated ...
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08/23/2022
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion
In the presence of unmeasured confounders, we address the problem of tre...
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08/19/2022
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
In an era of information explosion, recommendation systems play an impor...
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08/17/2022
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation
Micro-video recommender systems suffer from the ubiquitous noises in use...
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08/17/2022
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
Effectively representing users lie at the core of modern recommender sys...
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08/11/2022
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding
Video Object Grounding (VOG) is the problem of associating spatial objec...
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08/07/2022
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization
Considerable progress has been made in domain generalization (DG) which ...
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07/14/2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Expandable networks have demonstrated their advantages in dealing with c...
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06/29/2022
Knowledge Distillation of Transformer-based Language Models Revisited
In the past few years, transformer-based pre-trained language models hav...
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06/23/2022
Intelligent Request Strategy Design in Recommender System
Waterfall Recommender System (RS), a popular form of RS in mobile applic...
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06/07/2022
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
While annotating decent amounts of data to satisfy sophisticated learnin...
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06/02/2022
DE-Net: Dynamic Text-guided Image Editing Adversarial Networks
Text-guided image editing models have shown remarkable results. However,...
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06/02/2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
To understand human behaviors, action recognition based on videos is a c...
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05/30/2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
To break the bottlenecks of mainstream cloud-based machine learning (ML)...
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04/29/2022
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Graph contrastive learning has gained significant progress recently. How...
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04/25/2022
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech
The recent progress in non-autoregressive text-to-speech (NAR-TTS) has m...
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03/29/2022
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
Learning how humans manipulate objects requires machines to acquire know...
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03/24/2022
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Temporal grounding in videos aims to localize one target video segment t...
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03/15/2022
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Natural language spatial video grounding aims to detect the relevant obj...
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02/21/2022
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Network pruning and knowledge distillation are two widely-known model co...
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01/01/2022
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
Training deep models for RGB-D salient object detection (SOD) often requ...
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12/20/2021
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth
Recent studies have shown that introducing communication between agents ...
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12/16/2021
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Convolutional neural networks based single-image super-resolution (SISR)...
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11/29/2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph
In this work, we propose a new and general framework to defend against b...
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11/15/2021
