commit files to HF hub

papers.csv

@@ -456,7 +456,7 @@ SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Effic
 Improved Active Multi-Task Representation Learning via Lasso,"Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Du",http://arxiv.org/abs/2306.02556,,https://huggingface.co/papers/2306.02556,,,,2306.02556,4,0
 SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification,"Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan",,,,,,,,,
 Emergence of Sparse Representations from Noise,"Trenton Bricken, Rylan Schaeffer, Bruno Olshausen, Gabriel Kreiman",,,,,,,,,
-GFlowOut: Dropout with Generative Flow Networks,"Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio",http://arxiv.org/abs/2210.12928,,https://huggingface.co/papers/2210.12928,,,,2210.12928,13,0
+GFlowOut: Dropout with Generative Flow Networks,"Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio",http://arxiv.org/abs/2210.12928,,https://huggingface.co/papers/2210.12928,,,,2210.12928,13,1
 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective,"Yves Rychener, Daniel Kuhn, Tobias Sutter",http://arxiv.org/abs/2306.04174,,https://huggingface.co/papers/2306.04174,,,,2306.04174,3,0
 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes,"Shion Takeno, Masahiro Nomura, Masayuki Karasuyama",http://arxiv.org/abs/2302.01513,,https://huggingface.co/papers/2302.01513,,,,2302.01513,3,0
 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling,"Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang",http://arxiv.org/abs/2306.09554,,https://huggingface.co/papers/2306.09554,,,,2306.09554,4,0
@@ -713,7 +713,7 @@ Linear CNNs Discover the Statistical Structure of the Dataset Using only the Mos
 On Preemption and Learning in Stochastic Scheduling,"Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet",http://arxiv.org/abs/2205.15695,,https://huggingface.co/papers/2205.15695,,,,2205.15695,6,0
 Joint Implicit Neural Representations for Global-Scale Species Mapping,"Elijah Cole, Grant Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha",,,,,,,,,
 TGRL: Teacher Guided Reinforcement Learning Algorithm,"Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal",,,,,,,,,
-Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts,"Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados",http://arxiv.org/abs/2304.09836,,https://huggingface.co/papers/2304.09836,,,,2304.09836,4,0
+Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts,"Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados",http://arxiv.org/abs/2304.09836,,https://huggingface.co/papers/2304.09836,,,,2304.09836,4,1
 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning,"Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy",http://arxiv.org/abs/2305.00380,,https://huggingface.co/papers/2305.00380,,,,2305.00380,7,1
 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling,"Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne",http://arxiv.org/abs/2207.02338,,https://huggingface.co/papers/2207.02338,,,,2207.02338,5,1
 Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models,"Nikolaos Dimitriadis, Pascal Frossard, François Fleuret",http://arxiv.org/abs/2210.09759,,https://huggingface.co/papers/2210.09759,,,,2210.09759,3,1
@@ -1515,7 +1515,7 @@ D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching,"Xuanzhou
 What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings,"Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu",http://arxiv.org/abs/2306.02622,,https://huggingface.co/papers/2306.02622,,,,2306.02622,6,0
 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models,"Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao",,,,,,,,,
 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization,"Zhen WANG, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li",,,,,,,,,
-A theory of continuous generative flow networks,"Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernandez-Garcia, Lena Nehale Ezzine, Yoshua Bengio, Nikolay Malkin",http://arxiv.org/abs/2301.12594,,https://huggingface.co/papers/2301.12594,,,,2301.12594,9,0
+A theory of continuous generative flow networks,"Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernandez-Garcia, Lena Nehale Ezzine, Yoshua Bengio, Nikolay Malkin",http://arxiv.org/abs/2301.12594,,https://huggingface.co/papers/2301.12594,,,,2301.12594,9,1
 Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces,Zhengdao Chen,,,,,,,,,
 Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks,"Yihang Gao, Yiqi Gu, Michael Ng",,,,,,,,,
 Sampling-based Nyström Approximation and Kernel Quadrature,"Satoshi Hayakawa, Harald Oberhauser, Terry Lyons",,,,,,,,,
@@ -1749,7 +1749,7 @@ Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning,"aqeel la
 Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving,"Wei-Xin Li, Xiaodong Yang",http://arxiv.org/abs/2306.07276,,https://huggingface.co/papers/2306.07276,,,,2306.07276,2,0
 Computational Asymmetries in Robust Classification,"Samuele Marro, Michele Lombardi",,,,,,,,,
 Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation,"Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu",,,,,,,,,
-Better Training of GFlowNets with Local Credit and Incomplete Trajectories,"Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio",http://arxiv.org/abs/2302.01687,,https://huggingface.co/papers/2302.01687,,,,2302.01687,4,1
+Better Training of GFlowNets with Local Credit and Incomplete Trajectories,"Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio",http://arxiv.org/abs/2302.01687,,https://huggingface.co/papers/2302.01687,,,,2302.01687,4,2
 Multi-channel Autobidding with Budget and ROI Constraints,"Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni",http://arxiv.org/abs/2302.01523,,https://huggingface.co/papers/2302.01523,,,,2302.01523,5,0
 Random Teachers are Good Teachers,"Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann",http://arxiv.org/abs/2302.12091,,https://huggingface.co/papers/2302.12091,,,,2302.12091,4,0
 Efficient Distribution-Free Predictive Inference for Standard and Feedback Covariate Shift,"Andrew Prinster, Suchi Saria, Anqi Liu",,,,,,,,,