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conftrace_

learning to rank

192 papers

LTR LETOR

Papers

Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search AAAI 2022 Language Modelling via Learning to Rank AAAI 2022 Learning to Rank Articles for Molecular Queries AAAI 2022 Learning to Rank Visual Stories From Human Ranking Data ACL 2022 Learning to rank with BERT-based confidence models in ASR rescoring Interspeech 2022 Linear Label Ranking with Bounded Noise NeurIPS 2022 Listwise Learning to Rank Based on Approximate Rank Indicators AAAI 2022 Minimax Regret for Cascading Bandits NeurIPS 2022 Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022 Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022 Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR 2021 Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract) IJCAI 2021 Differentially Private Link Prediction with Protected Connections AAAI 2021 Distributed Ranking with Communications: Approximation Analysis and Applications AAAI 2021 Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021 FAST: Financial News and Tweet Based Time Aware Network for Stock Trading EACL 2021 Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions AAAI 2021 Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking EMNLP 2021 Learning to Rank Microphones for Distant Speech Recognition Interspeech 2021 Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021 Learning to Truncate Ranked Lists for Information Retrieval AAAI 2021 On Component Interactions in Two-Stage Recommender Systems NeurIPS 2021 On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search EACL 2021