conftrace_

ranking loss

56 papers

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Co-occurring keywords

convolutional neural network (4226) metric learning (1190) learning to rank (185) object detection (2762) triplet loss (192) regression loss (6) large language model (13587) deep neural network (1803) multi-label classification (1009) image retrieval (600)

Papers

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking AAAI 2025
Enhancing Knowledge Distillation of Large Language Models through Efficient Multi-Modal Distribution Alignment COLING 2025
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking COLING 2025
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency IJCAI 2025
Loss Functions for Predictor-based Neural Architecture Search ICCV 2025
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025
Embracing Large Language Models in Traffic Flow Forecasting ACL 2025
Reward Difference Optimization For Sample Reweighting In Offline RLHF EMNLP 2024
ST$_k$: A Scalable Module for Solving Top-k Problems NIPS 2024
Enhancing No-Reference Speech Quality Assessment with Pairwise, Triplet Ranking Losses, and ASR Pretraining INTERSPEECH 2024
LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss NIPS 2024
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Which Tricks are Important for Learning to Rank? ICML 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions ICML 2023
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal NIPS 2023
Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection ICCV 2023
On the Learnability of Multilabel Ranking NIPS 2023
RRHF: Rank Responses to Align Language Models with Human Feedback NIPS 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NIPS 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023
Supervised Off-Policy Ranking ICML 2022
Ranking-Based Siamese Visual Tracking CVPR 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates NIPS 2022
RankDetNet: Delving Into Ranking Constraints for Object Detection CVPR 2021
Task-Aware Variational Adversarial Active Learning CVPR 2021