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09/18/2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data
Federated learning is an emerging distributed machine learning method, e...
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09/13/2023
Offline Prompt Evaluation and Optimization with Inverse Reinforcement Learning
The recent advances in the development of Large Language Models (LLMs) l...
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08/07/2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers
Federated learning (FL) addresses data privacy concerns by enabling coll...
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07/30/2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
Adaptive optimization has achieved notable success for distributed learn...
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06/26/2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Deploying pre-trained transformer models like BERT on downstream tasks i...
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05/24/2023
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver
Open-domain question answering is a crucial task that often requires acc...
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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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05/13/2023
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval
Recently, masked video modeling has been widely explored and significant...
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05/06/2023
LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries
Third-party libraries (TPLs) are extensively utilized by developers to e...
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04/24/2023
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation
The main idea of multimodal recommendation is the rational utilization o...
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04/20/2023
Safety Assessment of Chinese Large Language Models
With the rapid popularity of large language models such as ChatGPT and G...
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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
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
Large Language Models (LLMs) are popular for their impressive abilities,...
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03/01/2023
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Sharpness aware minimization (SAM) optimizer has been extensively explor...
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02/24/2023
Neural Laplace Control for Continuous-time Delayed Systems
Many real-world offline reinforcement learning (RL) problems involve con...
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02/24/2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection
Data is the foundation of most science. Unfortunately, sharing data can ...
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02/18/2023
Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey
With the development of artificial intelligence, dialogue systems have b...
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02/04/2023
Laplacian ICP for Progressive Registration of 3D Human Head Meshes
We present a progressive 3D registration framework that is a highly-effi...
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01/30/2023
Accurate Gaze Estimation using an Active-gaze Morphable Model
Rather than regressing gaze direction directly from images, we show that...
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12/19/2022
PAL: Persona-Augmented Emotional Support Conversation Generation
Due to the lack of human resources for mental health support, there is a...
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12/10/2022
LEAD: Liberal Feature-based Distillation for Dense Retrieval
Knowledge distillation is often used to transfer knowledge from a strong...
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12/09/2022
SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection
LiDAR and camera are two essential sensors for 3D object detection in au...
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12/06/2022
An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection
Clustering analysis of sequence data continues to address many applicati...
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12/04/2022
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation
Large pretrained language models can easily produce toxic or biased cont...
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11/16/2022
Stare at What You See: Masked Image Modeling without Reconstruction
Masked Autoencoders (MAE) have been prevailing paradigms for large-scale...
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10/14/2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
Nonlinear dynamics are ubiquitous in science and engineering application...
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07/28/2022
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation
Multimodal sentiment analysis and depression estimation are two importan...
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07/16/2022
A Survey on Collaborative DNN Inference for Edge Intelligence
With the vigorous development of artificial intelligence (AI), the intel...
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07/11/2022
DAUX: a Density-based Approach for Uncertainty eXplanations
Uncertainty quantification (UQ) is essential for creating trustworthy ma...
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06/06/2022
A Neural Corpus Indexer for Document Retrieval
Current state-of-the-art document retrieval solutions mainly follow an i...
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05/09/2022
Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning
Although recent advances in deep learning (DL) have shown a great promis...
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04/01/2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Vector quantization (VQ) based ANN indexes, such as Inverted File System...
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03/17/2022
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
Large-scale pre-training has shown remarkable performance in building op...
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02/16/2022
HousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on ...
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02/13/2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Embedding based retrieval (EBR) is a fundamental building block in many ...
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01/16/2022
COLD: A Benchmark for Chinese Offensive Language Detection
Offensive language detection and prevention becomes increasing critical ...
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01/14/2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
Ad-hoc search calls for the selection of appropriate answers from a mass...
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01/02/2022
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference
Although it is well known that exploration plays a key role in Reinforce...
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11/16/2021
Hierarchical Topometric Representation of 3D Robotic Maps
In this paper, we propose a method for generating a hierarchical, volume...
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10/25/2021
Gophormer: Ego-Graph Transformer for Node Classification
Transformers have achieved remarkable performance in a myriad of fields ...
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10/16/2021
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
Dialogue safety problems severely limit the real-world deployment of neu...
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08/10/2021
Localized Graph Collaborative Filtering
User-item interactions in recommendations can be naturally de-noted as a...
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08/03/2021
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
Although pre-trained language models have remarkably enhanced the genera...
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08/03/2021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control
Impact mitigation is crucial to the stable locomotion of legged robots, ...
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07/10/2021
Hitting Weighted Even Cycles in Planar Graphs
A classical branch of graph algorithms is graph transversals, where one ...
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07/09/2021
Safe Exploration by Solving Early Terminated MDP
Safe exploration is crucial for the real-world application of reinforcem...
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06/03/2021
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support
Great research interests have been attracted to devise AI services that ...
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04/25/2021
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
Sponsored search ads appear next to search results when people look for ...
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03/31/2021
Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers
In this paper, we consider a prototypical convex optimization problem wi...
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03/30/2021