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08/31/2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Recommender models excel at providing domain-specific item recommendatio...
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08/28/2023
Can Transformer and GNN Help Each Other?
Although Transformer has achieved great success in natural language proc...
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08/23/2023
From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
Big models, exemplified by Large Language Models (LLMs), are models typi...
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08/21/2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Machine learning has demonstrated remarkable performance over finite dat...
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08/05/2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
Sequential user modeling, a critical task in personalized recommender sy...
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08/04/2023
Frustratingly Easy Model Generalization by Dummy Risk Minimization
Empirical risk minimization (ERM) is a fundamental machine learning para...
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08/04/2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Time series remains one of the most challenging modalities in machine le...
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07/14/2023
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus
Large language models (LLMs) have achieved significant performance in ma...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/25/2023
FedSampling: A Better Sampling Strategy for Federated Learning
Federated learning (FL) is an important technique for learning models fr...
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06/17/2023
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
Self-training (ST) has come to fruition in language understanding tasks ...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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05/23/2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Embedding models have shown great power in knowledge graph completion (K...
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05/23/2023
Continual Learning on Dynamic Graphs via Parameter Isolation
Many real-world graph learning tasks require handling dynamic graphs whe...
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05/17/2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Large language models (LLMs) have demonstrated powerful capabilities in ...
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04/27/2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Collaborative Filtering (CF) is a widely used and effective technique fo...
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04/04/2023
Exploring Vision-Language Models for Imbalanced Learning
Vision-Language models (VLMs) that use contrastive language-image pre-tr...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/15/2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Algorithmic fairness has become an important machine learning problem, e...
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03/02/2023
Distillation from Heterogeneous Models for Top-K Recommendation
Recent recommender systems have shown remarkable performance by using an...
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02/27/2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning
Federated learning (FL) has emerged as a new paradigm for privacy-preser...
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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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12/21/2022
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
Sentence summarization shortens given texts while maintaining core conte...
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12/16/2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
Self-training (ST) has prospered again in language understanding by augm...
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11/30/2022
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection
Deep semantic matching aims to discriminate the relationship between doc...
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11/24/2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
In this paper, we move towards combining large parametric models with no...
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11/20/2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Semi-supervised learning (SSL) has shown great promise in leveraging unl...
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11/15/2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Pre-trained language models (PLMs) are known to improve the generalizati...
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11/14/2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
Recently, powerful Transformer architectures have proven superior in gen...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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10/26/2022
Learning on Large-scale Text-attributed Graphs via Variational Inference
This paper studies learning on text-attributed graphs (TAGs), where each...
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10/22/2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Variational Auto-Encoder (VAE) has been widely adopted in text generatio...
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10/18/2022
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
Bilingual lexicon induction induces the word translations by aligning in...
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10/17/2022
Test-Time Training for Graph Neural Networks
Graph Neural Networks (GNNs) have made tremendous progress in the graph ...
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10/17/2022
Effective and Efficient Query-aware Snippet Extraction for Web Search
Query-aware webpage snippet extraction is widely used in search engines ...
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10/13/2022
Self-explaining deep models with logic rule reasoning
We present SELOR, a framework for integrating self-explaining capabiliti...
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09/15/2022
Generalized Representations Learning for Time Series Classification
Time series classification is an important problem in real world. Due to...
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09/01/2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
The distribution shifts between training and test data typically undermi...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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08/03/2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Machine learning systems may encounter unexpected problems when the data...
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08/02/2022
Geometric Interaction Augmented Graph Collaborative Filtering
Graph-based collaborative filtering is capable of capturing the essentia...
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07/25/2022
Domain-invariant Feature Exploration for Domain Generalization
Deep learning has achieved great success in the past few years. However,...
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07/19/2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
This paper presents FedX, an unsupervised federated learning framework. ...
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07/13/2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
The past several years have witnessed Variational Auto-Encoder's superio...
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06/28/2022
Cooperative Retriever and Ranker in Deep Recommenders
Deep recommender systems jointly leverage the retrieval and ranking oper...
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06/26/2022
Two-Stage Neural Contextual Bandits for Personalised News Recommendation
We consider the problem of personalised news recommendation where each u...
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06/26/2022
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Session-based recommendation (SBR) aims to predict the user next action ...
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06/26/2022
