Julian J. McAuley

Trans. Recomm. Syst., March, 2025

2024

Special Issue on Responsible Recommender Systems Part 1.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., August, 2024

A Review of Modern Fashion Recommender Systems.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2024

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Inductive Generative Recommendation via Retrieval-based Speculation.

[BibT_eX]

[DOI]

CoRR, 2024

CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset.

[BibT_eX]

[DOI]

Weihan Xu

Shlomo Dubnov

CoRR, 2024

Self-Updatable Large Language Models with Parameter Integration.

[BibT_eX]

[DOI]

CoRR, 2024

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Large Language Models: Current Progress and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

Visual Prompting in Multimodal Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Recommendation with Generative Models.

[BibT_eX]

[DOI]

Maheswaran Sathiamoorthy

Atoosa Kasrizadeh

Silvia Milano

Francesco Ricci

CoRR, 2024

Towards LifeSpan Cognitive Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-modal Generative Models in Recommendation System.

[BibT_eX]

[DOI]

CoRR, 2024

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.

[BibT_eX]

[DOI]

Phillip Long

CoRR, 2024

A Fashion Item Recommendation Model in Hyperbolic Space.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Driven Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.

[BibT_eX]

[DOI]

CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders.

[BibT_eX]

[DOI]

CoRR, 2024

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.

[BibT_eX]

[DOI]

Nicholas J. Bryan

CoRR, 2024

Large Scale Knowledge Washing.

[BibT_eX]

[DOI]

CoRR, 2024

Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation.

[BibT_eX]

[DOI]

Se-eun Yoon

Hyunsik Jeon

CoRR, 2024

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.

[BibT_eX]

[DOI]

CoRR, 2024

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Language and Items for Retrieval and Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Cognitive Bias in High-Stakes Decision-Making with LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding.

[BibT_eX]

[DOI]

CoRR, 2024

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.

[BibT_eX]

[DOI]

CoRR, 2024

LVCHAT: Facilitating Long Video Comprehension.

[BibT_eX]

[DOI]

CoRR, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.

[BibT_eX]

[DOI]

CoRR, 2024

Foundation Models for Recommender Systems: A Survey and New Perspectives.

[BibT_eX]

[DOI]

CoRR, 2024

How to Train Data-Efficient LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Off-Policy Evaluation for Large Action Spaces via Policy Convolution.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Linear Recurrent Units for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Avoiding Decision Fatigue with AI-Assisted Decision-Making.

[BibT_eX]

[DOI]

Aditya Melkote

Sujen Kancherla

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Fair Sequential Recommendation without User Demographics.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Neighborhood-Based Collaborative Filtering for Conversational Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

MAWI Rec: Leveraging Severe Weather Data in Recommendation.

[BibT_eX]

[DOI]

Brendan Andrew Duncan

Surya Kallumadi

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN).

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.

[BibT_eX]

[DOI]

Se-eun Yoon

Zhankui He

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Automatic Pair Construction for Contrastive Post-training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Extending Input Contexts of Language Models through Training on Segmented Sequences.

[BibT_eX]

[DOI]

Petros Karypis

George Karypis

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

First Workshop on Generative AI for Recommender Systems and Personalization.

[BibT_eX]

[DOI]

Narges Tabari

Aniket Anand Deshmukh

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).

[BibT_eX]

[DOI]

Maheswaran Sathiamoorthy

Atoosa Kasirzadeh

Silvia Milano

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DITTO: Diffusion Inference-Time T-Optimization for Music Generation.

[BibT_eX]

[DOI]

Nicholas J. Bryan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations.

[BibT_eX]

[DOI]

Paarth Neekhara

Shehzeen Samarah Hussain

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

[BibT_eX]

[DOI]

Tianyang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Linear Layer Extrapolation for Fine-Grained Emotion Classification.

[BibT_eX]

[DOI]

Mayukh Sharma

Sean O'Brien

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mitigating Hallucination in Fictional Character Role-Play.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Cognitive Bias in Decision-Making with LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Large Language Models are Zero-Shot Rankers for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

Forecasting Live Chat Intent from Browsing History.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Behavior Generative Recommendation.

[BibT_eX]

[DOI]

Zihan Liu

Yupeng Hou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation.

[BibT_eX]

[DOI]

Hyunsik Jeon

Se-eun Yoon

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

International Workshop on Online and Adaptive Recommender Systems (OARS 2024).

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Small Models are Valuable Plug-ins for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning.

[BibT_eX]

[DOI]

Zhouhang Xie

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep reinforcement learning in recommender systems: A survey and new perspectives.

[BibT_eX]

[DOI]

Knowl. Based Syst., March, 2023

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Data Distillation: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Lead Sheet Generation via Semantic Compression.

[BibT_eX]

[DOI]

Nikita Srivatsan

CoRR, 2023

Farzi Data: Autoregressive Data Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

[BibT_eX]

[DOI]

CoRR, 2023

Contrastive Post-training Large Language Models on Data Curriculum.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Nikhil Rao

CoRR, 2023

Reinforcement Learning for Generative AI: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews.

[BibT_eX]

[DOI]

An Yan

CoRR, 2023

Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization.

[BibT_eX]

[DOI]

Penghan Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Jointly modeling products and resource pages for task-oriented recommendation.

[BibT_eX]

[DOI]

Brendan Andrew Duncan

Surya Kallumadi

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Text Is All You Need: Learning Language Representations for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

3rd Workshop on Online and Adaptive Recommender Systems (OARS).

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Flow Network for Listwise Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Robustness of Convolutional Networks Through Sleep-Like Replay.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

LongCoder: A Long-Range Pre-trained Language Model for Code Completion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multitrack Music Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Spoiler Detection as Semantic Text Matching.

[BibT_eX]

[DOI]

Ryan Tran

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.

[BibT_eX]

[DOI]

Zexue He

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Survey on Dynamic Neural Networks for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Unsupervised Improvement of Factual Knowledge in Language Models.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Assistive Recipe Editing through Critiquing.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Large Language Models as Zero-Shot Conversational Recommenders.

[BibT_eX]

[DOI]

Nathan Kallus

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.

[BibT_eX]

[DOI]

Myeongjun Jang

Thomas Lukasiewicz

Oana-Maria Camburu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Synthetic Pre-Training Tasks for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Survey on Model Compression and Acceleration for Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Factual and Informative Review Generation for Explainable Recommendation.

[BibT_eX]

[DOI]

Zhouhang Xie

Sameer Singh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

CLIP also Understands Text: Prompting CLIP for Phrase Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

On Faithfulness and Coherence of Language Explanations for Recommendation Systems.

[BibT_eX]

[DOI]

Zhouhang Xie

CoRR, 2022

Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Generating Negative Samples for Sequential Recommendation.

[BibT_eX]

[DOI]

Yongjun Chen

Jia Li

Zhiwei Liu

Nitish Shirish Keskar

Huan Wang

Caiming Xiong

CoRR, 2022

Contrastive Learning for Interactive Recommendation in Fashion.

[BibT_eX]

[DOI]

CoRR, 2022

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.

[BibT_eX]

[DOI]

CoRR, 2022

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Model Compression for Natural Language Processing.

[BibT_eX]

[DOI]

CoRR, 2022

Personalized Complementary Product Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Intent Contrastive Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

On Sampling Collaborative Filtering Datasets.

[BibT_eX]

[DOI]

Carole-Jean Wu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Cross-modal Adversarial Reprogramming.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Coarse-to-Fine Sparse Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Bundle MCR: Towards Conversational Bundle Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Infinite Recommendation Networks: A Data-Centric Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification.

[BibT_eX]

[DOI]

Han Wang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Instilling Type Knowledge in Language Models via Multi-Task QA.

[BibT_eX]

[DOI]

Mukund Sridhar

Chandana Satya Prakash

Jin Cao

Wael Hamza

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2nd Workshop on Online and Adaptive Recommender Systems (OARS).

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.

[BibT_eX]

[DOI]

Shlomo Dubnov

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations.

[BibT_eX]

[DOI]

Oana Camburu

Thomas Lukasiewicz

Proceedings of the International Conference on Machine Learning, 2022

Deep Performer: Score-to-Audio Music Performance Synthesis.

[BibT_eX]

[DOI]

Cong Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

Efficiently Tuned Parameters Are Task Embeddings.

[BibT_eX]

[DOI]

Wangchunshu Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

InforMask: Unsupervised Informative Masking for Language Model Pretraining.

[BibT_eX]

[DOI]

Nafis Sadeq

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SHARE: a System for Hierarchical Assistive Recipe Editing.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Controlling Bias Exposure for Fair Interpretable Predictions.

[BibT_eX]

[DOI]

Zexue He

Yu Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Rank List Sensitivity of Recommender Systems to Interaction Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SPOT: Knowledge-Enhanced Language Representations for Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Query-Aware Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks.

[BibT_eX]

[DOI]

Matin Yarmand

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

BERT Learns to Teach: Knowledge Distillation with Meta Learning.

[BibT_eX]

[DOI]

Wangchunshu Zhou

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.

[BibT_eX]

[DOI]

Harsh Jhamtani

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.

[BibT_eX]

[DOI]

Jiacheng Li

Jingbo Shang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

SkipBERT: Efficient Inference with Shallow Layer Skipping.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Leashing the Inner Demons: Self-Detoxification for Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bach Violin Dataset.

[BibT_eX]

[DOI]

Cong Zhou

Dataset, October, 2021

Self-Supervised Bot Play for Conversational Recommendation with Justifications.

[BibT_eX]

[DOI]

CoRR, 2021

Locality-Sensitive Experience Replay for Online Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Modeling Dynamic Attributes for Next Basket Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

SVP-CF: Selection via Proxy for Collaborative Filtering Data.

[BibT_eX]

[DOI]

Carole-Jean Wu

CoRR, 2021

Rationale-Inspired Natural Language Explanations with Commonsense.

[BibT_eX]

[DOI]

Oana-Maria Camburu

Thomas Lukasiewicz

CoRR, 2021

Meta Learning for Knowledge Distillation.

[BibT_eX]

[DOI]

Wangchunshu Zhou

CoRR, 2021

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

WaveGuard: Understanding and Mitigating Audio Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

ReZero is all you need: fast convergence at large depth.

[BibT_eX]

[DOI]

Thomas Bachlechner

Huanru Henry Mao

Gary Cottrell

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption.

[BibT_eX]

[DOI]

Jérémie Rappaz

Karl Aberer

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge.

[BibT_eX]

[DOI]

Sudha Rao

Michel Galley

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Workshop on Online and Adaptative Recommender Systems (OARS).

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition.

[BibT_eX]

[DOI]

Sachinda Edirisooriya

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.

[BibT_eX]

[DOI]

Zexue He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Locker: Locally Constrained Self-Attentive Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Expressive Neural Voice Cloning.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.

[BibT_eX]

[DOI]

Harsh Jhamtani

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Weakly Supervised Named Entity Tagging with Learnable Logical Rules.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Interview: A Large-Scale Open-Source Corpus of Media Dialog.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Rationales in Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Developing a Recommendation Benchmark for MLPerf Training and Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Attentive Sequential Models of Latent Intent for Next Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Addressing Marketing Bias in Product Recommendations.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Time Interval Aware Self-Attention for Sequential Recommendation.

[BibT_eX]

[DOI]

Jiacheng Li

Yujie Wang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering.

[BibT_eX]

[DOI]

Hengrui Zhang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

BERT Loses Patience: Fast and Robust Inference with Early Exit.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MusPy: A Toolkit for Symbolic Music Generation.

[BibT_eX]

[DOI]

Ke Chen

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Speech Recognition and Multi-Speaker Diarization of Long Conversations.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Longitudinal Evaluation of a Best Practices CS1.

[BibT_eX]

[DOI]

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.

[BibT_eX]

[DOI]

Harsh Jhamtani

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.

[BibT_eX]

[DOI]

AI Mag., 2019

Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation.

[BibT_eX]

[DOI]

Larry Muhlstein

Proceedings of the World Wide Web Conference, 2019

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2019

LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training.

[BibT_eX]

[DOI]

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Universal Adversarial Perturbations for Speech Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Expediting TTS Synthesis with Adversarial Vocoding.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Adversarial Audio Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation.

[BibT_eX]

[DOI]

Liliang Ren

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.

[BibT_eX]

[DOI]

Jiacheng Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Neural Story Generation by Targeted Common Sense Grounding.

[BibT_eX]

[DOI]

Huanru Henry Mao

Garrison W. Cottrell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Personalized Recipes from Historical User Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Complete the Look: Scene-Based Complementary Product Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation.

[BibT_eX]

[DOI]

Julian John McAuley

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fine-Grained Spoiler Detection from Large-Scale Review Corpora.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Identifying and characterizing highly similar notes in big clinical note datasets.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2018

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering.

[BibT_eX]

[DOI]

CoRR, 2018

Visually-Aware Personalized Recommendation using Interpretable Image Representations.

[BibT_eX]

[DOI]

Charles Packer

Arnau Ramisa

CoRR, 2018

Synthesizing Audio with Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Scrabble: transferrable semi-automated semantic metadata normalization using intermediate representation.

[BibT_eX]

[DOI]

Proceedings of the 5th Conference on Systems for Built Environments, 2018

One-Class Recommendation with Asymmetric Textual Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Item recommendation on monotonic behavior chains.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Translation-based factorization machines for sequential recommendation.

[BibT_eX]

[DOI]

Rajiv Pasricha

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Decomposing fit semantics for product size recommendation in metric spaces.

[BibT_eX]

[DOI]

Rishabh Misra

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Learning consumer and producer embeddings for user-generated content recommendation.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Learning within-session budgets from browsing trajectories.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Does mitigating ML's impact disparity require treatment disparity?

[BibT_eX]

[DOI]

Zachary C. Lipton

Alexandra Chouldechova

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The NES Music Database: A multi-instrumental dataset with expressive performance attributes.

[BibT_eX]

[DOI]

Huanru Henry Mao

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Synthesizing Audio with GANs.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Self-Attentive Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Recommendation Through Mixtures of Heterogeneous Item Relationships.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Graphical Models.

[BibT_eX]

[DOI]

Wray L. Buntine

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Does mitigating ML's disparate impact require disparate treatment?

[BibT_eX]

[DOI]

Zachary C. Lipton

Alexandra Chouldechova

CoRR, 2017

Deduplication in a massive clinical note dataset.

[BibT_eX]

[DOI]

CoRR, 2017

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs.

[BibT_eX]

[DOI]

Dimitrios Lymberopoulos

Proceedings of the 26th International Conference on World Wide Web, 2017

Bartering Books to Beers: A Recommender System for Exchange Platforms.

[BibT_eX]

[DOI]

Jérémie Rappaz

Maria-Luiza Vladarean

Michele Catasta

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Generating and Personalizing Bundle Recommendations on <i>Steam</i>.

[BibT_eX]

[DOI]

Apurva Pathak

Kshitiz Gupta

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Scrabble: converting unstructured metadata into brick for many buildings.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

Translation-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Predicting Surgery Duration with Neural Heteroscedastic Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health Care Conference, 2017

Improving recommendation accuracy using networks of substitutable and complementary products.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017).

[BibT_eX]

[DOI]

Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

Estimating Reactions and Recommending Products with Generative Models of Reviews.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation.

[BibT_eX]

[DOI]

Chenwei Cai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dance Dance Convolution.

[BibT_eX]

[DOI]

Zachary C. Lipton

Proceedings of the 34th International Conference on Machine Learning, 2017

Visually-Aware Fashion Recommendation and Design with Generative Image Models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

The presence of highly similar notes within the MIMIC-III dataset.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Predicting risky behavior in social communities.

[BibT_eX]

[DOI]

Olivia Simpson

CoRR, 2016

Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories.

[BibT_eX]

[DOI]

Charles Packer

CoRR, 2016

Addressing Complex and Subjective Product-Related Queries with Customer Reviews.

[BibT_eX]

[DOI]

Alex Yang

Proceedings of the 25th International Conference on World Wide Web, 2016

Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items.

[BibT_eX]

[DOI]

Chunbin Lin

Proceedings of the 25th International Conference on World Wide Web, 2016

Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Compatibility Across Categories for Heterogeneous Item Recommendation.

[BibT_eX]

[DOI]

Charles Packer

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Pairwise Matching through Max-Weight Bipartite Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Capturing Meaning in Product Reviews with Character-Level Generative Text Models.

[BibT_eX]

[DOI]

Zachary Chase Lipton

Sharad Vikram

CoRR, 2015

Image-Based Recommendations on Styles and Substitutes.

[BibT_eX]

[DOI]

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Top-N Recommendation with Missing Implicit Feedback.

[BibT_eX]

[DOI]

Daryl Lim

Gert R. G. Lanckriet

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Inferring Networks of Substitutable and Complementary Products.

[BibT_eX]

[DOI]

Rahul Pandey

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation.

[BibT_eX]

[DOI]

Tong Zhao

Irwin King

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Discovering social circles in ego networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks.

[BibT_eX]

[DOI]

Jaewon Yang

CoRR, 2014

Finding progression stages in time-evolving event sequences.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Detecting cohesive and 2-mode communities indirected and undirected networks.

[BibT_eX]

[DOI]

Jaewon Yang

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering.

[BibT_eX]

[DOI]

Tong Zhao

Irwin King

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies.

[BibT_eX]

[DOI]

Arnau Ramisa

Int. J. Comput. Vis., 2013

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Hidden factors and hidden topics: understanding rating dimensions with review text.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media.

[BibT_eX]

[DOI]

Himabindu Lakkaraju

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Community Detection in Networks with Node Attributes.

[BibT_eX]

[DOI]

Jaewon Yang

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Fast matching of large point sets under occlusions.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Learning to Discover Social Circles in Ego Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Attitudes and Attributes from Multi-aspect Reviews.

[BibT_eX]

[DOI]

Dan Jurafsky

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Image Labeling on a Network: Using Social-Network Metadata for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Fast Inference with Min-Sum Matrix Product.

[BibT_eX]

[DOI]

Pedro F. Felzenszwalb

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Faster Algorithms for Max-Product Message-Passing.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study.

[BibT_eX]

[DOI]

Arnau Ramisa

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010

Graphical Models.

[BibT_eX]

[DOI]

Wray L. Buntine

Proceedings of the Encyclopedia of Machine Learning, 2010

Exploiting Within-Clique Factorizations in Junction-Tree Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Exploiting Data-Independence for Fast Belief-Propagation.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Unified graph matching in Euclidean spaces.

[BibT_eX]

[DOI]

Teofilo de Campos

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Learning Graph Matching.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

An expected-case sub-cubic solution to the all-pairs shortest path problem in R

[BibT_eX]

[DOI]

CoRR, 2009

Exact Inference in Graphical Models: is There More to it?

[BibT_eX]

[DOI]

CoRR, 2009

Exponential Family Graph Matching and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Shape classification through structured learning of matching measures.

[BibT_eX]

[DOI]

Longbin Chen

Rogério Schmidt Feris