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08/19/2023
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models
The recommendation ecosystem involves interactions between recommender s...
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08/18/2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Stochastic gradient descent (SGD) performed in an asynchronous manner pl...
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08/14/2023
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
Sequential recommendation demonstrates the capability to recommend items...
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08/04/2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
Text classification is a fundamental task for natural language processin...
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07/29/2023
Recommendation Unlearning via Matrix Correction
Recommender systems are important for providing personalized services to...
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07/27/2023
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
Seeing is believing, however, the underlying mechanism of how human visu...
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07/02/2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
Due to the nature of risk management in learning applicable policies, ri...
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06/14/2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Large Language Models (LLMs) are gaining increasing attention due to the...
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06/05/2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Pronunciation assessment is a major challenge in the computer-aided pron...
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05/26/2023
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
In this paper, we propose a general deep learning training framework XGr...
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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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05/23/2023
Simulating News Recommendation Ecosystem for Fun and Profit
Understanding the evolution of online news communities is essential for ...
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05/22/2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Text classification tasks often encounter few shot scenarios with limite...
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05/22/2023
DiffusionNER: Boundary Diffusion for Named Entity Recognition
In this paper, we propose DiffusionNER, which formulates the named entit...
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04/23/2023
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
In dynamic interaction graphs, user-item interactions usually follow het...
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04/11/2023
Habits and goals in synergy: a variational Bayesian framework for behavior
How to behave efficiently and flexibly is a central problem for understa...
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04/11/2023
Biological Factor Regulatory Neural Network
Genes are fundamental for analyzing biological systems and many recent w...
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03/30/2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Solving complicated AI tasks with different domains and modalities is a ...
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03/14/2023
Rotation-Invariant Transformer for Point Cloud Matching
The intrinsic rotation invariance lies at the core of matching point clo...
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03/14/2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
As a common way of emotion signaling via non-linguistic vocalizations, v...
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03/14/2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
With the global population aging rapidly, Alzheimer's disease (AD) is pa...
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03/14/2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Conventional reinforcement learning (RL) needs an environment to collect...
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02/27/2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Monitoring and analyzing stereotypical behaviours is important for early...
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02/04/2023
Personalized Graph Signal Processing for Collaborative Filtering
The collaborative filtering (CF) problem with only user-item interaction...
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01/29/2023
Towards Inference Efficient Deep Ensemble Learning
Ensemble methods can deliver surprising performance gains but also bring...
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01/24/2023
Progressive Meta-Pooling Learning for Lightweight Image Classification Model
Practical networks for edge devices adopt shallow depth and small convol...
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01/24/2023
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies
Neural architecture search (NAS) has made tremendous progress in the aut...
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01/11/2023
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks
TAPS is a Topology-Aware intra-operator Parallelism strategy Searching a...
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12/28/2022
OVO: One-shot Vision Transformer Search with Online distillation
Pure transformers have shown great potential for vision tasks recently. ...
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12/08/2022
Learning Domain Invariant Prompt for Vision-Language Models
Prompt learning is one of the most effective and trending ways to adapt ...
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12/07/2022
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Novel artificial intelligence (AI) technology has expedited various scie...
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12/01/2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Many Click-Through Rate (CTR) prediction works focused on designing adva...
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11/29/2022
Similarity Distribution based Membership Inference Attack on Person Re-identification
While person Re-identification (Re-ID) has progressed rapidly due to its...
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11/20/2022
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
In recent years, person Re-identification (ReID) has rapidly progressed ...
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11/14/2022
Towards Understanding Omission in Dialogue Summarization
Dialogue summarization aims to condense the lengthy dialogue into a conc...
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10/15/2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Dynamic interaction graphs have been widely adopted to model the evoluti...
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10/12/2022
Reinforcement Learning with Automated Auxiliary Loss Search
A good state representation is crucial to solving complicated reinforcem...
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09/23/2022
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks
Prompt learning is an effective paradigm that bridges gaps between the p...
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09/16/2022
ConvFormer: Closing the Gap Between CNN and Vision Transformers
Vision transformers have shown excellent performance in computer vision ...
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07/15/2022
Towards Privacy-Preserving Person Re-identification via Person Identify Shift
Recently privacy concerns of person re-identification (ReID) raise more ...
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06/26/2022
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
Autoregressive generative models are commonly used, especially for those...
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06/21/2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Vector graphics (VG) have been ubiquitous in our daily life with vast ap...
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06/17/2022
Bootstrapped Transformer for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning policies from previ...
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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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05/25/2022
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Sentence scoring aims at measuring the likelihood score of a sentence an...
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04/19/2022
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
CTR prediction has been widely used in the real world. Many methods mode...
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04/14/2022
Learning Convolutional Neural Networks in the Frequency Domain
Convolutional neural network (CNN) has achieved impressive success in co...
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04/02/2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Capturing the dynamics in user preference is crucial to better predict u...
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03/30/2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
In large-scale online services, crucial metrics, a.k.a., key performance...
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03/30/2022
