Update Publication List as of May 2023 (#216)

Co-authored-by: Wei-Cheng Chang <chanweic@amazon.com>

README.md

@@ -122,17 +122,25 @@ If you find PECOS useful, please consider citing the following paper:
 
 * [PECOS: Prediction for Enormous and Correlated Output Spaces (Yu et al., JMLR 2022)](https://arxiv.org/pdf/2010.05878.pdf) [[bib]](./bibtex/yu2020pecos.bib)
 
-Some papers from our group using PECOS:
+Some papers from PECOS team:
 
-* [FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search (Chen et al., ArXiv 2022)](https://arxiv.org/pdf/2206.11408.pdf) [[bib]](./bibtex/)
+* [Representer Points for Explaining Recommender Systems (Tsai et al., ICML 2023)](./) [[bib]](./bibtex/)
+
+* [PINA: Leveraging Side Information in eXtreme Multilabel Classification via Predicted Instance Neighborhood Aggregation (Chien et al., ICML 2023)](./) [[bib]](./bibtex/)
+
+* [Uncertainty Quantification in Extreme Classification (Jiang et al., SIGIR 2023)](./) [[bib]](./bibtex/)
+
+* [FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search (Chen et al., WWW 2023)](https://dl.acm.org/doi/abs/10.1145/3543507.3583318) [[bib]](./bibtex/)
+
+* [End-to-End Learning to Index and Search in Large Output Space (Gupta et al., NeurIPS 2022)](https://papers.nips.cc/paper_files/paper/2022/hash/7d4f98f916494121aca3da02e36a4d18-Abstract-Conference.html) [[bib]](./bibtex/)
 
 * [Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification (Jiang et al., SIGIR 2022)](https://dl.acm.org/doi/abs/10.1145/3477495.3531767) [[bib]](./bibtex/)
 
 * [Extreme Zero-Shot Learning for Extreme Text Classification (Xiong et al., NAACL 2022)](https://aclanthology.org/2022.naacl-main.399.pdf) [[bib]](./bibtex/)
 
-* [Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction (Chien et al., ICLR 2022)](https://arxiv.org/pdf/2111.00064.pdf) [[bib]](./bibtex/chien2021node.bib)
+* [Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction (Chien et al., ICLR 2022)](https://openreview.net/pdf?id=KJggliHbs8) [[bib]](./bibtex/chien2021node.bib)
 
-* [Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees (Etter et al., WWW 2022)](https://arxiv.org/pdf/2106.02697.pdf) [[bib]](./bibtex/etter2021accelerating.bib)
+* [Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees (Etter et al., WWW 2022)](https://dl.acm.org/doi/10.1145/3485447.3511973) [[bib]](./bibtex/etter2021accelerating.bib)
 
 * [Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification (Zhang et al., NeurIPS 2021)](https://arxiv.org/pdf/2110.00685.pdf) [[bib]](./bibtex/zhang2021fast.bib)