• Site
  • Metric Learning
    • Musgrave ECCV’20 A Metric Learning Reality Check
    • Song CVPR’16 Deep Metric Learning via Lifted Structured Feature Embedding
    • Wang CVPR19 Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
    • Wang CVPR’20 Cross-Batch Memory for Embedding Learning
    • Movshovitz ICCV’17 No fuss distance metric learning using proxies
    • Kim CVPR’20 Proxy Anchor Loss for Deep Metric Learning
    • Roth ICML’21 Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
    • Radford ICML’21 CLIP (Learning Transferable Visual Models From Natural Language Supervision)
    • Roth CVPR’22 Integrating Language Guidance into Vision-based Deep Metric Learning
  • Learning from Noisy Labels
    • Northcutt ICML’20 Confident Learning: Estimating Uncertainty in Dataset Labels
    • Northcutt NeurIPS’21 Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
  • Self Supervised Learning (SSL)
    • Chen ICML’20 SimCLR (A Simple Framework for Contrastive Learning of Visual Representations)
    • Grill NIPS’20 BYOL (Bootstrap Your Own Latent A New Approach to Self-Supervised Learning)
    • Chen CVPR’21 SimSiam (Exploring Simple Siamese Representation Learning)
    • Does ICLR’22 How Does SimSiam Avoid Collapse Without Negative Samples?
  • Representation Learning
    • Wang ICML’20 Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
  • Other
    • Kudo EMNLP’18 SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
    • Teja ICML’20 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
    • Zhao (KDD’23) Breaking the Curse of Quality Saturation with User-Centric Ranking
    • Xie (KDD’23) QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
    • Tensorflow Serving
    • 検索システム 実務者のための開発改善ガイドブック 11章 検索を成功させるための支援
  • Proceedings
    • SIGIR’23 ABSTRACT
    • SIGIR’22 ABSTRACT
    • SIGIR’21 ABSTRACT
    • SIGIR’20 ABSTRACT
    • SIGIR’19 ABSTRACT
  • Learning to Rank
    • Zhen ICLR’21 Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
    • Zhuang SIGIR’20 Feature Transformation for Neural Ranking Models
    • Grover ICLR’19 Stochastic Optimization of Sorting Networks via Continuous Relaxations
    • Cuturi NeurIPS’19 Differentiable Ranks and Sorting using Optimal Transport
    • Blondel ICML’20 Fast Differentiable Sorting and Ranking
    • Petersen ICML’21 Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
    • Petersen ICLR’22 Monotonic Differentiable Sorting Networks
    • Algorithm
    • Metric
• Page
  • Representation Learning
    • Papers
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