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09/08/2023
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market
In recent years, great advances in pre-trained language models (PLMs) ha...
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08/22/2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
With large language models (LLMs) achieving remarkable breakthroughs in ...
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08/03/2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
With the widespread application of personalized online services, click-t...
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06/09/2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
Recommender systems (RS) play important roles to match users' informatio...
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05/27/2023
MADiff: Offline Multi-agent Learning with Diffusion Models
Diffusion model (DM), as a powerful generative model, recently achieved ...
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12/15/2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Deep reinforcement learning has recently emerged as an appealing alterna...
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12/14/2022
Cross-Channel: Scalable Off-Chain Channels Supporting Fair and Atomic Cross-Chain Operations
Cross-chain technology facilitates the interoperability among isolated b...
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11/07/2022
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow
High-quality traffic flow generation is the core module in building simu...
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10/11/2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Recommender systems are expected to be assistants that help human users ...
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07/26/2022
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning
Deriving a good variable selection strategy in branch-and-bound is essen...
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07/09/2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Deploying deep learning models on various devices has become an importan...
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06/17/2022
A Graph-Enhanced Click Model for Web Search
To better exploit search logs and model users' behavior patterns, numero...
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03/04/2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Recent progress in state-only imitation learning extends the scope of ap...
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02/25/2022
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
Program representation, which aims at converting program source code int...
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01/27/2022
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Neural architecture search (NAS) has shown encouraging results in automa...
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01/06/2022
Phrase-level Adversarial Example Generation for Neural Machine Translation
While end-to-end neural machine translation (NMT) has achieved impressiv...
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11/16/2021
On Effective Scheduling of Model-based Reinforcement Learning
Model-based reinforcement learning has attracted wide attention due to i...
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11/16/2021
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback
Pseudo relevance feedback (PRF) automatically performs query expansion b...
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11/09/2021
Learning Logic Rules for Document-level Relation Extraction
Document-level relation extraction aims to identify relations between en...
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11/05/2021
AIM: Automatic Interaction Machine for Click-Through Rate Prediction
Feature embedding learning and feature interaction modeling are two cruc...
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10/18/2021
Context-aware Reranking with Utility Maximization for Recommendation
As a critical task for large-scale commercial recommender systems, reran...
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08/16/2021
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Diabetes prediction is an important data science application in the soci...
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08/11/2021
Retrieval Interaction Machine for Tabular Data Prediction
Prediction over tabular data is an essential task in many data science a...
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05/28/2021
Learning to Select Cuts for Efficient Mixed-Integer Programming
Cutting plane methods play a significant role in modern solvers for tack...
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05/13/2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
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04/13/2021
An Adversarial Imitation Click Model for Information Retrieval
Modern information retrieval systems, including web search, ads placemen...
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03/18/2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Searching for novel molecules with desired chemical properties is crucia...
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12/09/2020
Improving Knowledge Tracing via Pre-training Question Embeddings
Knowledge tracing (KT) defines the task of predicting whether students c...
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12/07/2020
Sobolev Wasserstein GAN
Wasserstein GANs (WGANs), built upon the Kantorovich-Rubinstein (KR) dua...
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11/01/2020
U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Learning to rank with implicit feedback is one of the most important tas...
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10/21/2020
Efficient Projection-Free Algorithms for Saddle Point Problems
The Frank-Wolfe algorithm is a classic method for constrained optimizati...
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10/19/2020
Model-based Policy Optimization with Unsupervised Model Adaptation
Model-based reinforcement learning methods learn a dynamics model with r...
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10/09/2020
AI Chiller: An Open IoT Cloud Based Machine Learning Framework for the Energy Saving of Building HVAC System via Big Data Analytics on the Fusion of BMS and Environmental Data
Energy saving and carbon emission reduction in buildings is one of the k...
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09/17/2020
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
The heavy traffic congestion problem has always been a concern for moder...
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09/13/2020
GIKT: A Graph-based Interaction Model for Knowledge Tracing
With the rapid development in online education, knowledge tracing (KT) h...
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08/18/2020
Glancing Transformer for Non-Autoregressive Neural Machine Translation
Non-autoregressive neural machine translation achieves remarkable infere...
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07/04/2020
Bidirectional Model-based Policy Optimization
Model-based reinforcement learning approaches leverage a forward dynamic...
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06/18/2020
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Interactive recommender system (IRS) has drawn huge attention because of...
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04/17/2020
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space
In this paper, we focus on reducing the labeled data size for sentence l...
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04/03/2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Although Shannon theory states that it is asymptotically optimal to sepa...
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03/25/2020
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Learning effective feature interactions is crucial for click-through rat...
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03/14/2020
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency
Recent advances in large-scale optimal transport have greatly extended i...
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01/04/2020
Multi-Agent Interactions Modeling with Correlated Policies
In multi-agent systems, complex interacting behaviors arise due to the h...
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11/21/2019
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Domain adaptation aims to leverage the supervision signal of source doma...
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11/10/2019
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Sequential recommendation task aims to predict user preference over item...
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10/07/2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Improving the efficiency of dispatching orders to vehicles is a research...
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09/10/2019
Signal Instructed Coordination in Team Competition
Most existing models of multi-agent reinforcement learning (MARL) adopt ...
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09/10/2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning
In many real-world problems, a team of agents need to collaborate to max...
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08/15/2019
Towards Making the Most of BERT in Neural Machine Translation
GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
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05/25/2019
