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09/09/2023
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
Educational Data Mining (EDM) has emerged as a vital field of research, ...
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09/05/2023
SAM-Deblur: Let Segment Anything Boost Image Deblurring
Image deblurring is a critical task in the field of image restoration, a...
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08/23/2023
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
Semi-Supervised Learning (SSL) under class distribution mismatch aims to...
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08/23/2023
A deep reinforcement learning approach for real-time demand-responsive railway rescheduling to mitigate station overcrowding using mobile data
Real-time railway rescheduling is a timely and flexible technique to aut...
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08/20/2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Spiking neural networks (SNNs) have tremendous potential for energy-effi...
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07/06/2023
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
Linguistic style matching (LSM) in conversations can be reflective of se...
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05/22/2023
ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer
Text-to-speech(TTS) has undergone remarkable improvements in performance...
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05/17/2023
CageViT: Convolutional Activation Guided Efficient Vision Transformer
Recently, Transformers have emerged as the go-to architecture for both v...
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05/05/2023
DisenBooth: Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation
Given a small set of images of a specific subject, subject-driven text-t...
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05/02/2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective
Recently, information theoretic analysis has become a popular framework ...
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04/11/2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Federated Learning, as a popular paradigm for collaborative training, is...
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03/16/2023
DIRE for Diffusion-Generated Image Detection
Diffusion models have shown remarkable success in visual synthesis, but ...
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02/21/2023
Stepdown SLOPE for Controlled Feature Selection
Sorted L-One Penalized Estimation (SLOPE) has shown the nice theoretical...
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02/20/2023
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
Recently, some mixture algorithms of pointwise and pairwise learning (PP...
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02/20/2023
On the Stability and Generalization of Triplet Learning
Triplet learning, i.e. learning from triplet data, has attracted much at...
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01/28/2023
Wireless and Service Allocation for Mobile Computation Offloading with Task Deadlines
In mobile computation offloading (MCO), mobile devices (MDs) can choose ...
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12/07/2022
On the Global Solution of Soft k-Means
This paper presents an algorithm to solve the Soft k-Means problem globa...
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11/30/2022
Robust and Fast Measure of Information via Low-rank Representation
The matrix-based Rényi's entropy allows us to directly quantify informat...
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11/21/2022
Disentangled Representation Learning
Disentangled Representation Learning (DRL) aims to learn a model capable...
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10/16/2022
Character-Centric Story Visualization via Visual Planning and Token Alignment
Story visualization advances the traditional text-to-image generation by...
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10/16/2022
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
Existing automatic story evaluation methods place a premium on story lex...
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09/28/2022
Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis
Tensor Robust Principal Component Analysis (TRPCA), which aims to recove...
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08/31/2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
We present the design and baseline results for a new challenge in the Ch...
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08/23/2022
Bag of Tricks for Out-of-Distribution Generalization
Recently, out-of-distribution (OOD) generalization has attracted attenti...
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08/20/2022
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments
The task of argument mining aims to detect all possible argumentative co...
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06/15/2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Although deep neural networks are capable of achieving performance super...
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05/04/2022
Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts
Stories or narratives are comprised of a sequence of events. To compose ...
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04/18/2022
OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval
Retrieving tracked-vehicles by natural language descriptions plays a cri...
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04/18/2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation
Privacy protection is an essential issue in personalized news recommenda...
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03/28/2022
FLDP: Flexible strategy for local differential privacy
Local differential privacy (LDP), a technique applying unbiased statisti...
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03/28/2022
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge
Novel object captioning aims at describing objects absent from training ...
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03/09/2022
Error-based Knockoffs Inference for Controlled Feature Selection
Recently, the scheme of model-X knockoffs was proposed as a promising so...
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02/16/2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Federated learning (FL) is an important paradigm for training global mod...
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01/07/2022
An Accelerator for Rule Induction in Fuzzy Rough Theory
Rule-based classifier, that extract a subset of induced rules to efficie...
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12/27/2021
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
The recently developed matrix based Renyi's entropy enables measurement ...
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12/12/2021
Markov subsampling based Huber Criterion
Subsampling is an important technique to tackle the computational challe...
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12/09/2021
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment
Modal regression, a widely used regression protocol, has been extensivel...
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10/20/2021
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
Generating texts in scientific papers requires not only capturing the co...
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02/05/2021
GraphPlan: Story Generation by Planning with Event Graph
Story generation is a task that aims to automatically produce multiple s...
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02/05/2021
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
Visual storytelling is a task of generating relevant and interesting sto...
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12/28/2020
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
The proliferation of massive open online courses (MOOCs) demands an effe...
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12/14/2020
COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
Expert finding, a popular service provided by many online websites such ...
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12/13/2020
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Cold-start problem is a fundamental challenge for recommendation tasks. ...
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09/17/2020
FLAME: Differentially Private Federated Learning in the Shuffle Model
Differentially private federated learning has been intensively studied. ...
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03/24/2020
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection
As massive data are produced from small gadgets, federated learning on m...
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11/22/2019
Robust Learning-based Predictive Control for Constrained Nonlinear Systems
The integration of machine learning methods and Model Predictive Control...
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10/31/2019
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue
This paper proposes a deep neural network model for joint modeling Natur...
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10/29/2019
RAKA:Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment
Cross-lingual knowledge alignment suffers from the attribute heterogenei...
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12/12/2018
Image Segmentation Based on Multiscale Fast Spectral Clustering
In recent years, spectral clustering has become one of the most popular ...
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10/23/2018