Co-occurring keywords · papers mentioning both
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