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@@ -416,7 +416,7 @@ Understanding and Generalizing Contrastive Learning from the Inverse Optimal Tra
 On the Impact of Algorithmic Recourse on Social Segregation,"Ruijiang Gao, Himabindu Lakkaraju",,,,,,,,,
 A Universal Unbiased Method for Classification from Aggregate Observations,"Zixi Wei, LEI FENG, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen",,,,,,,,,
 "Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data","Cheol Jun Cho, Edward Chang, Gopala Anumanchipalli",,,,,,,,,
-Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization,"Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas",http://arxiv.org/abs/2212.05088,,https://huggingface.co/papers/2212.05088,,,,2212.05088,4,0
+Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization,"Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas",http://arxiv.org/abs/2212.05088,,https://huggingface.co/papers/2212.05088,,,,2212.05088,4,1
 Meta-Learning the Inductive Bias of Simple Neural Circuits,"Will Dorrell, Maria Yuffa, Peter Latham",,,,,,,,,
 Secure Federated Correlation Test and Entropy Estimation,"Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song",,,,,,,,,
 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference,"Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen",,,,,,,,,
@@ -868,7 +868,7 @@ DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorith
 Conformal Prediction with Missing Values,"Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano",http://arxiv.org/abs/2306.02732,,https://huggingface.co/papers/2306.02732,,,,2306.02732,4,0
 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach,"Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya",,,,,,,,,
 Characterizing Multicalibration via Property Elicitation,"Georgy Noarov, Aaron Roth",,,,,,,,,
-Cut your Losses with Squentropy,"Like Hui, Misha Belkin, Stephen Wright",http://arxiv.org/abs/2302.03952,,https://huggingface.co/papers/2302.03952,,,,2302.03952,3,0
+Cut your Losses with Squentropy,"Like Hui, Misha Belkin, Stephen Wright",http://arxiv.org/abs/2302.03952,,https://huggingface.co/papers/2302.03952,,,,2302.03952,3,1
 Multi-Agent Learning from Learners,"MINE M CALISKAN, Francesco Chini, Setareh Maghsudi",,,,,,,,,
 Oracles and Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning,"Matthias Gerstgrasser, David Parkes",,,,,,,,,
 Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees,"Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta",http://arxiv.org/abs/2305.11997,,https://huggingface.co/papers/2305.11997,,,,2305.11997,5,1
@@ -1051,7 +1051,7 @@ Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalizati
 Target-based Surrogates for Stochastic Optimization,"Jonathan Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux",http://arxiv.org/abs/2302.02607,,https://huggingface.co/papers/2302.02607,,,,2302.02607,5,0
 NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation,"Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu",http://arxiv.org/abs/2305.00097,https://github.com/Tongzhou0101/NNSplitter,https://huggingface.co/papers/2305.00097,,,,2305.00097,4,0
 Sketched Ridgeless Linear Regression: The Role of Downsampling,"Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun",http://arxiv.org/abs/2302.01088,,https://huggingface.co/papers/2302.01088,,,,2302.01088,4,0
-Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation,"Siddharth Nagar Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan",http://arxiv.org/abs/2211.02127,https://github.com/nsidn98/InforMARL,https://huggingface.co/papers/2211.02127,,,,2211.02127,6,0
+Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation,"Siddharth Nagar Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan",http://arxiv.org/abs/2211.02127,https://github.com/nsidn98/InforMARL,https://huggingface.co/papers/2211.02127,,,,2211.02127,6,1
 POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models,"Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou",http://arxiv.org/abs/2305.00350,,https://huggingface.co/papers/2305.00350,,,,2305.00350,5,0
 Towards Omni-generalizable Neural Methods for Vehicle Routing Problems,"Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang",http://arxiv.org/abs/2305.19587,https://github.com/RoyalSkye/Omni-VRP,https://huggingface.co/papers/2305.19587,,,,2305.19587,5,0
 Protecting Language Generation Models via Invisible Watermarking,"Xuandong Zhao, Yu-Xiang Wang, Lei Li",http://arxiv.org/abs/2302.03162,,https://huggingface.co/papers/2302.03162,,,,2302.03162,3,0
@@ -1166,7 +1166,7 @@ Understanding Plasticity in Neural Networks,"Clare Lyle, Zeyu Zheng, Evgenii Nik
 Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits,"Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari",http://arxiv.org/abs/2211.05964,,https://huggingface.co/papers/2211.05964,,,,2211.05964,3,0
 Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models,"Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi",,,,,,,,,
 Interval Bound Interpolation for Few-shot Learning with Few Tasks,"Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das",http://arxiv.org/abs/2204.03511,,https://huggingface.co/papers/2204.03511,,,,2204.03511,4,0
-Estimating Causal Effects using a Multi-task Deep Ensemble,"Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson",http://arxiv.org/abs/2301.11351,,https://huggingface.co/papers/2301.11351,,,,2301.11351,6,1
+Estimating Causal Effects using a Multi-task Deep Ensemble,"Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson",http://arxiv.org/abs/2301.11351,,https://huggingface.co/papers/2301.11351,,,,2301.11351,6,2
 Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences,"Ofir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer",http://arxiv.org/abs/2212.09470,,https://huggingface.co/papers/2212.09470,,,,2212.09470,6,0
 LM-Design: Structure-informed Language Models Are Protein Designers,"Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei YE, Quanquan Gu",,,,,,,,,
 TIDE: Time Derivative Diffusion for Deep Learning on Graphs,"Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov",http://arxiv.org/abs/2212.02483,,https://huggingface.co/papers/2212.02483,,,,2212.02483,3,0
@@ -1448,7 +1448,7 @@ Change is Hard: A Closer Look at Subpopulation Shift,"Yuzhe Yang, Haoran Zhang,
 X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion,"Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu",,,,,,,,,
 Never mind the metrics---what about the uncertainty? Visualising confusion matrix metric distributions,"David Lovell, Dimity Miller, Jaiden Capra, Andrew Bradley",,,,,,,,,
 Uncertainty Estimation for Molecules: Desiderata and Methods,"Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann",,,,,,,,,
-Reliable Measures of Spread in High Dimensional Latent Spaces,"Anna Marbut, Travis Wheeler, Katy McKinney-Bock",http://arxiv.org/abs/2212.08172,,https://huggingface.co/papers/2212.08172,,,,2212.08172,3,1
+Reliable Measures of Spread in High Dimensional Latent Spaces,"Anna Marbut, Travis Wheeler, Katy McKinney-Bock",http://arxiv.org/abs/2212.08172,,https://huggingface.co/papers/2212.08172,,,,2212.08172,3,2
 Attributing Image Generative Models using Latent Fingerprints,"Guangyu Nie, Changhoon Kim, 'YZ' Yezhou Yang, Yi Ren",http://arxiv.org/abs/2304.09752,,https://huggingface.co/papers/2304.09752,,,,2304.09752,4,1
 Towards Explaining Distribution Shifts,"Sean Kulinski, David I. Inouye",http://arxiv.org/abs/2210.10275,,https://huggingface.co/papers/2210.10275,,,,2210.10275,2,1
 SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes,"Junetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun-Young Kim",,,,,,,,,