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  1. papers.csv +2 -2
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@@ -386,7 +386,7 @@ Towards Trustworthy Explanation: On Causal Rationalization,"Wenbo Zhang, TONG WU
386
  Improved Algorithms for White-Box Adversarial Streams,"Ying Feng, David Woodruff",,,,,,,,,
387
  Towards Understanding Ensemble Distillation in Federated Learning,"Sejun Park, Kihun Hong, Ganguk Hwang",,,,,,,,,
388
  Does Sparsity Help in Learning Misspecified Linear Bandits?,"Jialin Dong, Lin Yang",http://arxiv.org/abs/2303.16998,,https://huggingface.co/papers/2303.16998,,,,2303.16998,2,0
389
- On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline,"Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang",http://arxiv.org/abs/2212.05749,,https://huggingface.co/papers/2212.05749,,,,2212.05749,8,1
390
  PLay: Parametrically Conditioned Layout Generation using Latent Diffusion,"Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li",http://arxiv.org/abs/2301.11529,,https://huggingface.co/papers/2301.11529,,,,2301.11529,4,0
391
  CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis,"Chaejeong Lee, Jayoung Kim, Noseong Park",http://arxiv.org/abs/2304.12654,,https://huggingface.co/papers/2304.12654,,,,2304.12654,3,0
392
  Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling,"Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Petzold",http://arxiv.org/abs/2210.12156,,https://huggingface.co/papers/2210.12156,,,,2210.12156,5,1
@@ -1702,7 +1702,7 @@ Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detec
1702
  Image generation with shortest path diffusion,"Ayan Das, Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, FengTing Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia",http://arxiv.org/abs/2306.00501,,https://huggingface.co/papers/2306.00501,,,,2306.00501,8,3
1703
  Deep Anomaly Detection under Labeling Budget Constraints,"Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph",http://arxiv.org/abs/2302.07832,,https://huggingface.co/papers/2302.07832,,,,2302.07832,6,1
1704
  Transformed Distribution Matching for Missing Value Imputation,"He Zhao, Ke Sun, Amir Dezfouli, Edwin V Bonilla",http://arxiv.org/abs/2302.10363,,https://huggingface.co/papers/2302.10363,,,,2302.10363,4,0
1705
- Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?,"Ruisi Cai, Zhenyu Zhang, Zhangyang “Atlas” Wang",http://arxiv.org/abs/2302.12480,,https://huggingface.co/papers/2302.12480,,,,2302.12480,3,0
1706
  Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models,"Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel",,,,,,,,,
1707
  Better Diffusion Models Further Improve Adversarial Training,"Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng YAN",http://arxiv.org/abs/2302.04638,https://github.com/wzekai99/DM-Improves-AT,https://huggingface.co/papers/2302.04638,,,,2302.04638,6,2
1708
  On the Expressive Power of Geometric Graph Neural Networks,"Chaitanya Joshi, Cristian Bodnar, Simon Mathis, Taco Cohen, Pietro Lió",http://arxiv.org/abs/2301.09308,https://github.com/chaitjo/geometric-gnn-dojo,https://huggingface.co/papers/2301.09308,,,,2301.09308,5,0
 
386
  Improved Algorithms for White-Box Adversarial Streams,"Ying Feng, David Woodruff",,,,,,,,,
387
  Towards Understanding Ensemble Distillation in Federated Learning,"Sejun Park, Kihun Hong, Ganguk Hwang",,,,,,,,,
388
  Does Sparsity Help in Learning Misspecified Linear Bandits?,"Jialin Dong, Lin Yang",http://arxiv.org/abs/2303.16998,,https://huggingface.co/papers/2303.16998,,,,2303.16998,2,0
389
+ On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline,"Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang",http://arxiv.org/abs/2212.05749,,https://huggingface.co/papers/2212.05749,,,,2212.05749,8,2
390
  PLay: Parametrically Conditioned Layout Generation using Latent Diffusion,"Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li",http://arxiv.org/abs/2301.11529,,https://huggingface.co/papers/2301.11529,,,,2301.11529,4,0
391
  CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis,"Chaejeong Lee, Jayoung Kim, Noseong Park",http://arxiv.org/abs/2304.12654,,https://huggingface.co/papers/2304.12654,,,,2304.12654,3,0
392
  Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling,"Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Petzold",http://arxiv.org/abs/2210.12156,,https://huggingface.co/papers/2210.12156,,,,2210.12156,5,1
 
1702
  Image generation with shortest path diffusion,"Ayan Das, Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, FengTing Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia",http://arxiv.org/abs/2306.00501,,https://huggingface.co/papers/2306.00501,,,,2306.00501,8,3
1703
  Deep Anomaly Detection under Labeling Budget Constraints,"Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph",http://arxiv.org/abs/2302.07832,,https://huggingface.co/papers/2302.07832,,,,2302.07832,6,1
1704
  Transformed Distribution Matching for Missing Value Imputation,"He Zhao, Ke Sun, Amir Dezfouli, Edwin V Bonilla",http://arxiv.org/abs/2302.10363,,https://huggingface.co/papers/2302.10363,,,,2302.10363,4,0
1705
+ Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?,"Ruisi Cai, Zhenyu Zhang, Zhangyang “Atlas” Wang",http://arxiv.org/abs/2302.12480,,https://huggingface.co/papers/2302.12480,,,,2302.12480,3,1
1706
  Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models,"Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel",,,,,,,,,
1707
  Better Diffusion Models Further Improve Adversarial Training,"Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng YAN",http://arxiv.org/abs/2302.04638,https://github.com/wzekai99/DM-Improves-AT,https://huggingface.co/papers/2302.04638,,,,2302.04638,6,2
1708
  On the Expressive Power of Geometric Graph Neural Networks,"Chaitanya Joshi, Cristian Bodnar, Simon Mathis, Taco Cohen, Pietro Lió",http://arxiv.org/abs/2301.09308,https://github.com/chaitjo/geometric-gnn-dojo,https://huggingface.co/papers/2301.09308,,,,2301.09308,5,0