Charlin, Laurent
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
2016/03/25 by Chia‐Wei Liu, Liu, Chia-Wei, Ryan Lowe +9 · 102 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Speech and dialogue systems #Topic Modeling
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks
2019/06/04 by Maxime Gasse, Didier Chételat, Gasse, Maxime +7 · 54 citations
Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Machine Learning and Algorithms
- Towards Deep Conversational Recommendations
2018/12/18 by Raymond Li, Li, Raymond, Samira Ebrahimi Kahou +9 · 44 citations
Computer Science · #Topic Modeling #Sentiment Analysis and Opinion Mining #Speech and dialogue systems
- Multi-XScience: A Large-scale Dataset for Extreme Multi-document\n Summarization of Scientific Articles
2020/10/27 by Yao Lu, Lu, Yao, Yue Dong +3 · 15 citations
Computer Science · #Topic Modeling #Advanced Text Analysis Techniques #Natural Language Processing Techniques
- Modeling User Exposure in Recommendation
2015/10/23 by Dawen Liang, Laurent Charlin, Liang, Dawen +5 · 11 citations
Computer Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Recommender Systems and Techniques
- LitLLM: A Toolkit for Scientific Literature Review
2024/02/02 by Shubham Agarwal, Agarwal, Shubham, Sahu, Gaurav +9 · 20 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Semantic Web and Ontologies
- The Machine Learning for Combinatorial Optimization Competition (ML4CO):\n Results and Insights
2022/03/04 by Maxime Gasse, Quentin Cappart, Gasse, Maxime +81 · 13 citations
Engineering · #Optimization and Packing Problems #Vehicle Routing Optimization Methods #Maritime Ports and Logistics
- Pretraining Representations for Data-Efficient Reinforcement Learning
2021/06/09 by Max Schwarzer, Nitarshan Rajkumar, Schwarzer, Max +13 · 10 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Towards Modular LLMs by Building and Reusing a Library of LoRAs
2024/05/18 by Oleksiy Ostapenko, Ostapenko, Oleksiy, Zhan Su +13 · 19 citations
Computer Science · #Computation and Language (cs.CL) #Engineering and Information Technology #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies
- Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
2022/06/27 by Max B. Paulus, Giulia Zarpellon, Paulus, Max B. +7 · 10 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Manufacturing Process and Optimization #Optimization and Control (math.OC) #Software Engineering Research
- Continual Learning with Foundation Models: An Empirical Study of Latent Replay
2022/04/30 by Оleksiy Ostapenko, Ostapenko, Oleksiy, Timothée Lesort +11 · 8 citations
Computer Science · #Domain Adaptation and Few-Shot Learning
- A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
2016/05/19 by Serban, Iulian Vlad, Sordoni, Alessandro, Lowe, Ryan +4 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- A Survey of Available Corpora for Building Data-Driven Dialogue Systems
2015/12/17 by Iulian Vlad Serban, Serban, Iulian Vlad, Ryan Lowe +7 · 5 citations
Computer Science · #68T01 #68T05 #68T35 #68T50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2.1 #I.2.6 #I.2.7 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
2021/03/18 by Pau Rodríguez, M. Caccia, Rodriguez, Pau +11 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare
- Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
2023/05/30 by Tristan Deleu, Mizu Nishikawa-Toomey, Deleu, Tristan +9 · 6 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- LitLLMs, LLMs for Literature Review: Are we there yet?
2024/12/15 by Shubham Agarwal, Gaurav Sahu, Agarwal, Shubham +13 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Library Science and Information Systems #Machine Learning (cs.LG) #Research Data Management Practices
- Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
2022/11/04 by Mizu Nishikawa-Toomey, Nishikawa-Toomey, Mizu, Tristan Deleu +7 · 4 citations
Computer Science · Environmental Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Continual Learning of New Sound Classes using Generative Replay
2019/06/03 by Zhepei Wang, Wang, Zhepei, Cem Subakan +7 · 2 citations
Computer Science · #Audio and Speech Processing (eess.AS) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
- Learnable Explicit Density for Continuous Latent Space and Variational Inference
2017/10/06 by Chin-Wei Huang, Huang, Chin-Wei, Touati, Ahmed +10 · 4 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
- A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
2020/05/06 by Serban, Iulian Vlad, Gupta, Varun, Kochmar, Ekaterina +6 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #G.4 #Human-Computer Interaction (cs.HC) #I.2.0 #I.2.1 #I.2.7 #K.3.1 #Machine Learning (cs.LG)
- A Framework for Optimizing Paper Matching
2012/02/14 by Laurent Charlin, Richard S. Zemel, Charlin, Laurent +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Mobile Crowdsensing and Crowdsourcing #Topic Modeling
- Challenging Common Assumptions about Catastrophic Forgetting
2022/07/10 by Timothée Lesort, Оleksiy Ostapenko, Lesort, Timothée +11 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Sequoia: A Software Framework to Unify Continual Learning Research
2021/08/02 by Normandin, Fabrice, Golemo, Florian, Ostapenko, Oleksiy +10 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Deep Exponential Families
2014/11/10 by Rajesh Ranganath, Linpeng Tang, Ranganath, Rajesh +5 · 1 voice
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- TEARS: Textual Representations for Scrutable Recommendations
2024/10/25 by Emiliano Penaloza, Penaloza, Emiliano, Olivier Gouvert +5 · 2 citations
Computer Science · #Topic Modeling #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
- How to Train Your LLM Web Agent: A Statistical Diagnosis
2025/07/05 by Dheeraj Vattikonda, S. Ravichandran, Vattikonda, Dheeraj +29 · 5 citations
Computer Science · #Digital Rights Management and Security
- Improving the generalizability and robustness of large-scale traffic signal control
2023/06/02 by Shi, Tianyu, Devailly, Francois-Xavier, Larocque, Denis +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
2025/04/25 by Emiliano Penaloza, Tianyue H. Zhang, Penaloza, Emiliano +5 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
- ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
2025/10/09 by Gaurav Sahu, Hugo Larochelle, Sahu, Gaurav +5 · 1 citation
Computer Science · Decision Sciences · Medicine · #Expert finding and Q&A systems #Academic Publishing and Open Access #Artificial Intelligence in Healthcare and Education