conftrace_

learning to rank

185 papers

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Also known as

LTR LETOR

Co-occurring keywords

information retrieval (1514) online learning (1777) regret bound (1926) neural network (6616) question answering (2963) document ranking (74) multi-armed bandit (1098) preference learning (418) listwise ranking (31) rank aggregation (53)

Papers

Linear Label Ranking with Bounded Noise NIPS 2022
Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022
Efficient and accurate top-k recovery from choice data UAI 2022
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph AACL 2022
Minimax Regret for Cascading Bandits NIPS 2022
Learning to rank with BERT-based confidence models in ASR rescoring INTERSPEECH 2022
A Large Scale Search Dataset for Unbiased Learning to Rank NIPS 2022
Fair Ranking with Noisy Protected Attributes NIPS 2022
Differentially Private Link Prediction with Protected Connections AAAI 2021
Learning to Truncate Ranked Lists for Information Retrieval AAAI 2021
Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions AAAI 2021
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons NIPS 2021
On Component Interactions in Two-Stage Recommender Systems NIPS 2021
Learning to Rank Microphones for Distant Speech Recognition INTERSPEECH 2021
Rank & Sort Loss for Object Detection and Instance Segmentation ICCV 2021
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking EMNLP 2021
Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract) IJCAI 2021
Parametric Graph for Unimodal Ranking Bandit ICML 2021
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach AAAI 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search EACL 2021
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading EACL 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting NIPS 2021