Ranking

Fair Ranking with Noisy Protected Attributes NeurIPS 2022 Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022 GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks ICML 2022 Grounded Dialogue Generation with Cross-encoding Re-ranker, Grounding Span Prediction, and Passage Dropout ACL 2022 IIGROUP Submissions for WMT22 Word-Level AutoCompletion Task EMNLP 2022 Improved grammatical error correction by ranking elementary edits EMNLP 2022 Improving abstractive summarization with energy-based re-ranking EMNLP 2022 Integrating Bayesian network classifiers to deal with the partial label ranking problem PGM 2022 Language Modelling via Learning to Rank AAAI 2022 Learning to Rank Visual Stories From Human Ranking Data ACL 2022 Linear Label Ranking with Bounded Noise NeurIPS 2022 Listwise Learning to Rank Based on Approximate Rank Indicators AAAI 2022 MatRank: Text Re-ranking by Latent Preference Matrix EMNLP 2022 Monotonic Differentiable Sorting Networks ICLR 2022 PresiUniv at TSAR-2022 Shared Task: Generation and Ranking of Simplification Substitutes of Complex Words in Multiple Languages EMNLP 2022 Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations COLING 2022 Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022 Supervised Off-Policy Ranking ICML 2022 Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection COLING 2022 Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR 2021 A Three-step Method for Multi-Hop Inference Explanation Regeneration NAACL 2021 Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021 Deep Spectral Ranking AISTATS 2021 Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision ICML 2021 Differentially Private Link Prediction with Protected Connections AAAI 2021